Ryan OShea | de36e4a | 2020-03-13 16:26:19 +0000 | [diff] [blame] | 1 | <!-- Copyright (c) 2020 ARM Limited. --> |
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| 98 | <a href="#pub-methods">Public Member Functions</a> | |
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| 101 | <div class="headertitle"> |
| 102 | <div class="title">IWorkloadFactory Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div> </div> |
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| 104 | <div class="contents"> |
| 105 | |
| 106 | <p><code>#include <<a class="el" href="_workload_factory_8hpp_source.xhtml">WorkloadFactory.hpp</a>></code></p> |
| 107 | <div class="dynheader"> |
| 108 | Inheritance diagram for IWorkloadFactory:</div> |
| 109 | <div class="dyncontent"> |
| 110 | <div class="center"> |
| 111 | <img src="classarmnn_1_1_i_workload_factory.png" usemap="#IWorkloadFactory_map" alt=""/> |
| 112 | <map id="IWorkloadFactory_map" name="IWorkloadFactory_map"> |
| 113 | <area href="classarmnn_1_1_ref_workload_factory.xhtml" alt="RefWorkloadFactory" shape="rect" coords="0,56,199,80"/> |
| 114 | <area href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml" alt="SampleDynamicWorkloadFactory" shape="rect" coords="209,56,408,80"/> |
| 115 | <area href="classarmnn_1_1_workload_factory_base.xhtml" alt="WorkloadFactoryBase" shape="rect" coords="418,56,617,80"/> |
| 116 | <area href="classarmnn_1_1_cl_workload_factory.xhtml" alt="ClWorkloadFactory" shape="rect" coords="313,112,512,136"/> |
| 117 | <area href="classarmnn_1_1_neon_workload_factory.xhtml" alt="NeonWorkloadFactory" shape="rect" coords="522,112,721,136"/> |
| 118 | </map> |
| 119 | </div></div> |
| 120 | <table class="memberdecls"> |
| 121 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| 122 | Public Member Functions</h2></td></tr> |
| 123 | <tr class="memitem:aab62208f96483015c29ad58549efedd8"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#aab62208f96483015c29ad58549efedd8">~IWorkloadFactory</a> ()</td></tr> |
| 124 | <tr class="separator:aab62208f96483015c29ad58549efedd8"><td class="memSeparator" colspan="2"> </td></tr> |
| 125 | <tr class="memitem:a9f7e4296485d2812e7996089149c96d1"><td class="memItemLeft" align="right" valign="top">virtual const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a9f7e4296485d2812e7996089149c96d1">GetBackendId</a> () const =0</td></tr> |
| 126 | <tr class="separator:a9f7e4296485d2812e7996089149c96d1"><td class="memSeparator" colspan="2"> </td></tr> |
| 127 | <tr class="memitem:a37f4eba7877deb34f4d8d64c9bcb9ab5"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a> () const =0</td></tr> |
| 128 | <tr class="separator:a37f4eba7877deb34f4d8d64c9bcb9ab5"><td class="memSeparator" colspan="2"> </td></tr> |
| 129 | <tr class="memitem:ac043991b839903b2ba9da884e4020848"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> &parent, <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> const &subTensorShape, unsigned int const *subTensorOrigin) const =0</td></tr> |
| 130 | <tr class="separator:ac043991b839903b2ba9da884e4020848"><td class="memSeparator" colspan="2"> </td></tr> |
| 131 | <tr class="memitem:aa83593035de93eb4b6dddb9dc8f5ced6"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#aa83593035de93eb4b6dddb9dc8f5ced6">CreateInput</a> (const <a class="el" href="namespacearmnn.xhtml#a2231ac018fe2c465f2d42fef597d67e7">InputQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const =0</td></tr> |
| 132 | <tr class="separator:aa83593035de93eb4b6dddb9dc8f5ced6"><td class="memSeparator" colspan="2"> </td></tr> |
| 133 | <tr class="memitem:a15c140be4ddceffee16436f009d3ed94"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &tensorInfo, const bool IsMemoryManaged=<a class="el" href="_ref_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a>) const =0</td></tr> |
| 134 | <tr class="separator:a15c140be4ddceffee16436f009d3ed94"><td class="memSeparator" colspan="2"> </td></tr> |
| 135 | <tr class="memitem:af0b0226f767fd570877710b84c7caa2a"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#af0b0226f767fd570877710b84c7caa2a">CreateTensorHandle</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &tensorInfo, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout, const bool IsMemoryManaged=<a class="el" href="_ref_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a>) const =0</td></tr> |
| 136 | <tr class="separator:af0b0226f767fd570877710b84c7caa2a"><td class="memSeparator" colspan="2"> </td></tr> |
| 137 | <tr class="memitem:ae3ba329a833bbb63961eb64d6477d691"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ae3ba329a833bbb63961eb64d6477d691">CreateAbs</a> (const <a class="el" href="structarmnn_1_1_abs_queue_descriptor.xhtml">AbsQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 138 | <tr class="separator:ae3ba329a833bbb63961eb64d6477d691"><td class="memSeparator" colspan="2"> </td></tr> |
| 139 | <tr class="memitem:a4458d75c0db21c6abc941cd93a6a24c5"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a4458d75c0db21c6abc941cd93a6a24c5">CreateActivation</a> (const <a class="el" href="structarmnn_1_1_activation_queue_descriptor.xhtml">ActivationQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 140 | <tr class="separator:a4458d75c0db21c6abc941cd93a6a24c5"><td class="memSeparator" colspan="2"> </td></tr> |
| 141 | <tr class="memitem:acf187617ed4cdd6625b396d6b194923e"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">CreateAddition</a> (const <a class="el" href="structarmnn_1_1_addition_queue_descriptor.xhtml">AdditionQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 142 | <tr class="separator:acf187617ed4cdd6625b396d6b194923e"><td class="memSeparator" colspan="2"> </td></tr> |
| 143 | <tr class="memitem:ac47803c9faacfb7c10219253b99f61ca"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac47803c9faacfb7c10219253b99f61ca">CreateArgMinMax</a> (const <a class="el" href="structarmnn_1_1_arg_min_max_queue_descriptor.xhtml">ArgMinMaxQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 144 | <tr class="separator:ac47803c9faacfb7c10219253b99f61ca"><td class="memSeparator" colspan="2"> </td></tr> |
| 145 | <tr class="memitem:abe1e0d40e23195022c0bc10a8aab55ea"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#abe1e0d40e23195022c0bc10a8aab55ea">CreateBatchNormalization</a> (const <a class="el" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">BatchNormalizationQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 146 | <tr class="separator:abe1e0d40e23195022c0bc10a8aab55ea"><td class="memSeparator" colspan="2"> </td></tr> |
| 147 | <tr class="memitem:af00ce13ef7dabd17cc4186d0a4991757"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#af00ce13ef7dabd17cc4186d0a4991757">CreateBatchToSpaceNd</a> (const <a class="el" href="structarmnn_1_1_batch_to_space_nd_queue_descriptor.xhtml">BatchToSpaceNdQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> |
| 148 | <tr class="separator:af00ce13ef7dabd17cc4186d0a4991757"><td class="memSeparator" colspan="2"> </td></tr> |
| 149 | <tr class="memitem:a3fa12033e9be37c529ac54a83ab43b36"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a3fa12033e9be37c529ac54a83ab43b36">CreateComparison</a> (const <a class="el" href="structarmnn_1_1_comparison_queue_descriptor.xhtml">ComparisonQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> |
| 150 | <tr class="separator:a3fa12033e9be37c529ac54a83ab43b36"><td class="memSeparator" colspan="2"> </td></tr> |
| 151 | <tr class="memitem:a32bb8d6cf5fc028bf501252767c08b21"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a> (const <a class="el" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 152 | <tr class="separator:a32bb8d6cf5fc028bf501252767c08b21"><td class="memSeparator" colspan="2"> </td></tr> |
| 153 | <tr class="memitem:a963bd7acce29a83d96daeb2cea34f2f7"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a963bd7acce29a83d96daeb2cea34f2f7">CreateConstant</a> (const <a class="el" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 154 | <tr class="separator:a963bd7acce29a83d96daeb2cea34f2f7"><td class="memSeparator" colspan="2"> </td></tr> |
| 155 | <tr class="memitem:a83e0a21747c1ce29b2083c1e3b1d88af"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a83e0a21747c1ce29b2083c1e3b1d88af">CreateConvertFp16ToFp32</a> (const <a class="el" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">ConvertFp16ToFp32QueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 156 | <tr class="separator:a83e0a21747c1ce29b2083c1e3b1d88af"><td class="memSeparator" colspan="2"> </td></tr> |
| 157 | <tr class="memitem:a2b414a001b6b31d00bfe4056fd6740c5"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a2b414a001b6b31d00bfe4056fd6740c5">CreateConvertFp32ToFp16</a> (const <a class="el" href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.xhtml">ConvertFp32ToFp16QueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 158 | <tr class="separator:a2b414a001b6b31d00bfe4056fd6740c5"><td class="memSeparator" colspan="2"> </td></tr> |
| 159 | <tr class="memitem:a2184995027cd2c9f9980206de9658855"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a2184995027cd2c9f9980206de9658855">CreateConvolution2d</a> (const <a class="el" href="structarmnn_1_1_convolution2d_queue_descriptor.xhtml">Convolution2dQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 160 | <tr class="separator:a2184995027cd2c9f9980206de9658855"><td class="memSeparator" colspan="2"> </td></tr> |
| 161 | <tr class="memitem:a00346a3754d9411bba2e29dc1f996ac6"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a00346a3754d9411bba2e29dc1f996ac6">CreateDebug</a> (const <a class="el" href="structarmnn_1_1_debug_queue_descriptor.xhtml">DebugQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 162 | <tr class="separator:a00346a3754d9411bba2e29dc1f996ac6"><td class="memSeparator" colspan="2"> </td></tr> |
| 163 | <tr class="memitem:a3c3a47828ee252dca111605c9be4b072"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a3c3a47828ee252dca111605c9be4b072">CreateDepthToSpace</a> (const <a class="el" href="structarmnn_1_1_depth_to_space_queue_descriptor.xhtml">DepthToSpaceQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 164 | <tr class="separator:a3c3a47828ee252dca111605c9be4b072"><td class="memSeparator" colspan="2"> </td></tr> |
| 165 | <tr class="memitem:accb9759dfd2880efe0f8d2705ddee448"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#accb9759dfd2880efe0f8d2705ddee448">CreateDepthwiseConvolution2d</a> (const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml">DepthwiseConvolution2dQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 166 | <tr class="separator:accb9759dfd2880efe0f8d2705ddee448"><td class="memSeparator" colspan="2"> </td></tr> |
| 167 | <tr class="memitem:a3243806bf6c89df8952cc0a3601e538b"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a3243806bf6c89df8952cc0a3601e538b">CreateDequantize</a> (const <a class="el" href="structarmnn_1_1_dequantize_queue_descriptor.xhtml">DequantizeQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 168 | <tr class="separator:a3243806bf6c89df8952cc0a3601e538b"><td class="memSeparator" colspan="2"> </td></tr> |
| 169 | <tr class="memitem:ad0da07faa15302377aa97be89c57677c"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ad0da07faa15302377aa97be89c57677c">CreateDetectionPostProcess</a> (const <a class="el" href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">DetectionPostProcessQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 170 | <tr class="separator:ad0da07faa15302377aa97be89c57677c"><td class="memSeparator" colspan="2"> </td></tr> |
| 171 | <tr class="memitem:a20bb773c7fd6253418bdedac1312cd19"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a20bb773c7fd6253418bdedac1312cd19">CreateDivision</a> (const <a class="el" href="structarmnn_1_1_division_queue_descriptor.xhtml">DivisionQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 172 | <tr class="separator:a20bb773c7fd6253418bdedac1312cd19"><td class="memSeparator" colspan="2"> </td></tr> |
| 173 | <tr class="memitem:a12d2c4e0f0b0d6b36d8a3e14bf69f9e4"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a12d2c4e0f0b0d6b36d8a3e14bf69f9e4">CreateElementwiseUnary</a> (const <a class="el" href="structarmnn_1_1_elementwise_unary_queue_descriptor.xhtml">ElementwiseUnaryQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> |
| 174 | <tr class="separator:a12d2c4e0f0b0d6b36d8a3e14bf69f9e4"><td class="memSeparator" colspan="2"> </td></tr> |
| 175 | <tr class="memitem:a096bb62d44fadf079ea4463379d4e6aa"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a096bb62d44fadf079ea4463379d4e6aa">CreateEqual</a> (const <a class="el" href="structarmnn_1_1_equal_queue_descriptor.xhtml">EqualQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> |
| 176 | <tr class="separator:a096bb62d44fadf079ea4463379d4e6aa"><td class="memSeparator" colspan="2"> </td></tr> |
| 177 | <tr class="memitem:a42581f3d1c22e64b7f3676ea20acab0e"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a42581f3d1c22e64b7f3676ea20acab0e">CreateFakeQuantization</a> (const <a class="el" href="structarmnn_1_1_fake_quantization_queue_descriptor.xhtml">FakeQuantizationQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 178 | <tr class="separator:a42581f3d1c22e64b7f3676ea20acab0e"><td class="memSeparator" colspan="2"> </td></tr> |
| 179 | <tr class="memitem:aa1a45333dc35cb5ba9ab71fca4f359e4"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#aa1a45333dc35cb5ba9ab71fca4f359e4">CreateFloor</a> (const <a class="el" href="structarmnn_1_1_floor_queue_descriptor.xhtml">FloorQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 180 | <tr class="separator:aa1a45333dc35cb5ba9ab71fca4f359e4"><td class="memSeparator" colspan="2"> </td></tr> |
| 181 | <tr class="memitem:a1c193739520e08f686b347ff795ad2fe"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a1c193739520e08f686b347ff795ad2fe">CreateFullyConnected</a> (const <a class="el" href="structarmnn_1_1_fully_connected_queue_descriptor.xhtml">FullyConnectedQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 182 | <tr class="separator:a1c193739520e08f686b347ff795ad2fe"><td class="memSeparator" colspan="2"> </td></tr> |
| 183 | <tr class="memitem:a91fe56cae7e970d90f6e7f54427e7d44"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a91fe56cae7e970d90f6e7f54427e7d44">CreateGather</a> (const <a class="el" href="structarmnn_1_1_gather_queue_descriptor.xhtml">GatherQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 184 | <tr class="separator:a91fe56cae7e970d90f6e7f54427e7d44"><td class="memSeparator" colspan="2"> </td></tr> |
| 185 | <tr class="memitem:a4e779d1b00a9e885497364ebd0dc24ef"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a4e779d1b00a9e885497364ebd0dc24ef">CreateGreater</a> (const <a class="el" href="structarmnn_1_1_greater_queue_descriptor.xhtml">GreaterQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 186 | <tr class="separator:a4e779d1b00a9e885497364ebd0dc24ef"><td class="memSeparator" colspan="2"> </td></tr> |
| 187 | <tr class="memitem:a96a3123d8a8290b01582d955cdcd75d5"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a96a3123d8a8290b01582d955cdcd75d5">CreateInstanceNormalization</a> (const <a class="el" href="structarmnn_1_1_instance_normalization_queue_descriptor.xhtml">InstanceNormalizationQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 188 | <tr class="separator:a96a3123d8a8290b01582d955cdcd75d5"><td class="memSeparator" colspan="2"> </td></tr> |
| 189 | <tr class="memitem:a3c86f886e36ce943f1ebc241a37f0413"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a3c86f886e36ce943f1ebc241a37f0413">CreateL2Normalization</a> (const <a class="el" href="structarmnn_1_1_l2_normalization_queue_descriptor.xhtml">L2NormalizationQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 190 | <tr class="separator:a3c86f886e36ce943f1ebc241a37f0413"><td class="memSeparator" colspan="2"> </td></tr> |
| 191 | <tr class="memitem:adbdc0563cc7d8b6c1e3c2fb6f13871bf"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#adbdc0563cc7d8b6c1e3c2fb6f13871bf">CreateLogSoftmax</a> (const <a class="el" href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">LogSoftmaxQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 192 | <tr class="separator:adbdc0563cc7d8b6c1e3c2fb6f13871bf"><td class="memSeparator" colspan="2"> </td></tr> |
| 193 | <tr class="memitem:ab6bd7aaf685d4e956d780f8655a6f174"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ab6bd7aaf685d4e956d780f8655a6f174">CreateLstm</a> (const <a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml">LstmQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 194 | <tr class="separator:ab6bd7aaf685d4e956d780f8655a6f174"><td class="memSeparator" colspan="2"> </td></tr> |
| 195 | <tr class="memitem:a3fe27b35296a25984ab97319fd9a13d6"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a3fe27b35296a25984ab97319fd9a13d6">CreateMaximum</a> (const <a class="el" href="structarmnn_1_1_maximum_queue_descriptor.xhtml">MaximumQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 196 | <tr class="separator:a3fe27b35296a25984ab97319fd9a13d6"><td class="memSeparator" colspan="2"> </td></tr> |
| 197 | <tr class="memitem:ac63f8f12f80efbe37b789d1540649470"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac63f8f12f80efbe37b789d1540649470">CreateMean</a> (const <a class="el" href="structarmnn_1_1_mean_queue_descriptor.xhtml">MeanQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> |
| 198 | <tr class="separator:ac63f8f12f80efbe37b789d1540649470"><td class="memSeparator" colspan="2"> </td></tr> |
| 199 | <tr class="memitem:a87bf54bcdc865fd5d4f86194b3899d09"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a87bf54bcdc865fd5d4f86194b3899d09">CreateMemCopy</a> (const <a class="el" href="structarmnn_1_1_mem_copy_queue_descriptor.xhtml">MemCopyQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 200 | <tr class="separator:a87bf54bcdc865fd5d4f86194b3899d09"><td class="memSeparator" colspan="2"> </td></tr> |
| 201 | <tr class="memitem:af0c99a5e2a6e4a67fec8b8c5906a3552"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#af0c99a5e2a6e4a67fec8b8c5906a3552">CreateMemImport</a> (const <a class="el" href="structarmnn_1_1_mem_import_queue_descriptor.xhtml">MemImportQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 202 | <tr class="separator:af0c99a5e2a6e4a67fec8b8c5906a3552"><td class="memSeparator" colspan="2"> </td></tr> |
| 203 | <tr class="memitem:acc3239cb7dd9434551a70d8534387069"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#acc3239cb7dd9434551a70d8534387069">CreateMerge</a> (const <a class="el" href="structarmnn_1_1_merge_queue_descriptor.xhtml">MergeQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 204 | <tr class="separator:acc3239cb7dd9434551a70d8534387069"><td class="memSeparator" colspan="2"> </td></tr> |
| 205 | <tr class="memitem:addb710d76098d55ad2f56117b73a9f48"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#addb710d76098d55ad2f56117b73a9f48">CreateMerger</a> (const <a class="el" href="namespacearmnn.xhtml#a308ba160745ba35e1de8d698d0139eb4">MergerQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 206 | <tr class="separator:addb710d76098d55ad2f56117b73a9f48"><td class="memSeparator" colspan="2"> </td></tr> |
| 207 | <tr class="memitem:a8851ca32bea910cf9376d05527e3dbef"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a8851ca32bea910cf9376d05527e3dbef">CreateMinimum</a> (const <a class="el" href="structarmnn_1_1_minimum_queue_descriptor.xhtml">MinimumQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 208 | <tr class="separator:a8851ca32bea910cf9376d05527e3dbef"><td class="memSeparator" colspan="2"> </td></tr> |
| 209 | <tr class="memitem:a756955d7436dd8f6e63cdf6367eb1694"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a756955d7436dd8f6e63cdf6367eb1694">CreateMultiplication</a> (const <a class="el" href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">MultiplicationQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 210 | <tr class="separator:a756955d7436dd8f6e63cdf6367eb1694"><td class="memSeparator" colspan="2"> </td></tr> |
| 211 | <tr class="memitem:a185c215631e1b01a6d41232410de4c46"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a185c215631e1b01a6d41232410de4c46">CreateNormalization</a> (const <a class="el" href="structarmnn_1_1_normalization_queue_descriptor.xhtml">NormalizationQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 212 | <tr class="separator:a185c215631e1b01a6d41232410de4c46"><td class="memSeparator" colspan="2"> </td></tr> |
| 213 | <tr class="memitem:adb279112eb265e5531c4ac2194b6c898"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#adb279112eb265e5531c4ac2194b6c898">CreateOutput</a> (const <a class="el" href="namespacearmnn.xhtml#a37a1a6b381ccc76df203fee023234996">OutputQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 214 | <tr class="separator:adb279112eb265e5531c4ac2194b6c898"><td class="memSeparator" colspan="2"> </td></tr> |
| 215 | <tr class="memitem:ab0c956e4a638d0a2777ecb71953f7e27"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a> (const <a class="el" href="structarmnn_1_1_pad_queue_descriptor.xhtml">PadQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> |
| 216 | <tr class="separator:ab0c956e4a638d0a2777ecb71953f7e27"><td class="memSeparator" colspan="2"> </td></tr> |
| 217 | <tr class="memitem:a2dcee0bc4bbae1f745324aed0f841a0a"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a2dcee0bc4bbae1f745324aed0f841a0a">CreatePermute</a> (const <a class="el" href="structarmnn_1_1_permute_queue_descriptor.xhtml">PermuteQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 218 | <tr class="separator:a2dcee0bc4bbae1f745324aed0f841a0a"><td class="memSeparator" colspan="2"> </td></tr> |
| 219 | <tr class="memitem:a6e95afd9a55700cbf6f9e8db8089f2f2"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a6e95afd9a55700cbf6f9e8db8089f2f2">CreatePooling2d</a> (const <a class="el" href="structarmnn_1_1_pooling2d_queue_descriptor.xhtml">Pooling2dQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 220 | <tr class="separator:a6e95afd9a55700cbf6f9e8db8089f2f2"><td class="memSeparator" colspan="2"> </td></tr> |
| 221 | <tr class="memitem:a012306477c38a533edd29c422227cd8c"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a012306477c38a533edd29c422227cd8c">CreatePreCompiled</a> (const <a class="el" href="structarmnn_1_1_pre_compiled_queue_descriptor.xhtml">PreCompiledQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 222 | <tr class="separator:a012306477c38a533edd29c422227cd8c"><td class="memSeparator" colspan="2"> </td></tr> |
| 223 | <tr class="memitem:adf4a93f605e4e7dad6aee0b4d2159171"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#adf4a93f605e4e7dad6aee0b4d2159171">CreatePrelu</a> (const <a class="el" href="structarmnn_1_1_prelu_queue_descriptor.xhtml">PreluQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 224 | <tr class="separator:adf4a93f605e4e7dad6aee0b4d2159171"><td class="memSeparator" colspan="2"> </td></tr> |
| 225 | <tr class="memitem:a1942c254ba89d17803e5a636aa927d90"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a1942c254ba89d17803e5a636aa927d90">CreateQuantize</a> (const <a class="el" href="structarmnn_1_1_quantize_queue_descriptor.xhtml">QuantizeQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> |
| 226 | <tr class="separator:a1942c254ba89d17803e5a636aa927d90"><td class="memSeparator" colspan="2"> </td></tr> |
| 227 | <tr class="memitem:ab5ceda49651dcd53fb7eb05658b5a0cb"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ab5ceda49651dcd53fb7eb05658b5a0cb">CreateQuantizedLstm</a> (const <a class="el" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">QuantizedLstmQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 228 | <tr class="separator:ab5ceda49651dcd53fb7eb05658b5a0cb"><td class="memSeparator" colspan="2"> </td></tr> |
| 229 | <tr class="memitem:a4f9d9c79a100a0d057027d8524373962"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a4f9d9c79a100a0d057027d8524373962">CreateReshape</a> (const <a class="el" href="structarmnn_1_1_reshape_queue_descriptor.xhtml">ReshapeQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 230 | <tr class="separator:a4f9d9c79a100a0d057027d8524373962"><td class="memSeparator" colspan="2"> </td></tr> |
| 231 | <tr class="memitem:a84377c94a59c589dbf419f838c4b9119"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a84377c94a59c589dbf419f838c4b9119">CreateResize</a> (const <a class="el" href="structarmnn_1_1_resize_queue_descriptor.xhtml">ResizeQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 232 | <tr class="separator:a84377c94a59c589dbf419f838c4b9119"><td class="memSeparator" colspan="2"> </td></tr> |
| 233 | <tr class="memitem:a7eb321c47cd90d2cc3823e74596f1239"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a7eb321c47cd90d2cc3823e74596f1239">CreateResizeBilinear</a> (const <a class="el" href="structarmnn_1_1_resize_bilinear_queue_descriptor.xhtml">ResizeBilinearQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 234 | <tr class="separator:a7eb321c47cd90d2cc3823e74596f1239"><td class="memSeparator" colspan="2"> </td></tr> |
| 235 | <tr class="memitem:a2459b9d4f72d78eab86f9ec09384c491"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a2459b9d4f72d78eab86f9ec09384c491">CreateRsqrt</a> (const <a class="el" href="structarmnn_1_1_rsqrt_queue_descriptor.xhtml">RsqrtQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 236 | <tr class="separator:a2459b9d4f72d78eab86f9ec09384c491"><td class="memSeparator" colspan="2"> </td></tr> |
| 237 | <tr class="memitem:a86658e2fc02a32acd4de20ef92242347"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a86658e2fc02a32acd4de20ef92242347">CreateSlice</a> (const <a class="el" href="structarmnn_1_1_slice_queue_descriptor.xhtml">SliceQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 238 | <tr class="separator:a86658e2fc02a32acd4de20ef92242347"><td class="memSeparator" colspan="2"> </td></tr> |
| 239 | <tr class="memitem:a8a843d44d2e81df87e414df3b3e688de"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a8a843d44d2e81df87e414df3b3e688de">CreateSoftmax</a> (const <a class="el" href="structarmnn_1_1_softmax_queue_descriptor.xhtml">SoftmaxQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 240 | <tr class="separator:a8a843d44d2e81df87e414df3b3e688de"><td class="memSeparator" colspan="2"> </td></tr> |
| 241 | <tr class="memitem:a44e7aebc021646becc3f32722e22553e"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a44e7aebc021646becc3f32722e22553e">CreateSpaceToBatchNd</a> (const <a class="el" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">SpaceToBatchNdQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 242 | <tr class="separator:a44e7aebc021646becc3f32722e22553e"><td class="memSeparator" colspan="2"> </td></tr> |
| 243 | <tr class="memitem:a9bdc3801e1e964046730d49c0e11d1ce"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a9bdc3801e1e964046730d49c0e11d1ce">CreateSpaceToDepth</a> (const <a class="el" href="structarmnn_1_1_space_to_depth_queue_descriptor.xhtml">SpaceToDepthQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 244 | <tr class="separator:a9bdc3801e1e964046730d49c0e11d1ce"><td class="memSeparator" colspan="2"> </td></tr> |
| 245 | <tr class="memitem:a439305cf0a71fc85a0b93cc063100f91"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a439305cf0a71fc85a0b93cc063100f91">CreateSubtraction</a> (const <a class="el" href="structarmnn_1_1_subtraction_queue_descriptor.xhtml">SubtractionQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 246 | <tr class="separator:a439305cf0a71fc85a0b93cc063100f91"><td class="memSeparator" colspan="2"> </td></tr> |
| 247 | <tr class="memitem:ac306abe0073a04300f2d96d0b5eb6218"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac306abe0073a04300f2d96d0b5eb6218">CreateSplitter</a> (const <a class="el" href="structarmnn_1_1_splitter_queue_descriptor.xhtml">SplitterQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 248 | <tr class="separator:ac306abe0073a04300f2d96d0b5eb6218"><td class="memSeparator" colspan="2"> </td></tr> |
| 249 | <tr class="memitem:aa06423ce3f34e4ec2d336889f8c0d79a"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#aa06423ce3f34e4ec2d336889f8c0d79a">CreateStack</a> (const <a class="el" href="structarmnn_1_1_stack_queue_descriptor.xhtml">StackQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 250 | <tr class="separator:aa06423ce3f34e4ec2d336889f8c0d79a"><td class="memSeparator" colspan="2"> </td></tr> |
| 251 | <tr class="memitem:a21344e9f338e1d4c3d26825002a02754"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a21344e9f338e1d4c3d26825002a02754">CreateStridedSlice</a> (const <a class="el" href="structarmnn_1_1_strided_slice_queue_descriptor.xhtml">StridedSliceQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> |
| 252 | <tr class="separator:a21344e9f338e1d4c3d26825002a02754"><td class="memSeparator" colspan="2"> </td></tr> |
| 253 | <tr class="memitem:ab37f39b9e3e224ccde6b36adc876bb19"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ab37f39b9e3e224ccde6b36adc876bb19">CreateSwitch</a> (const <a class="el" href="structarmnn_1_1_switch_queue_descriptor.xhtml">SwitchQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> |
| 254 | <tr class="separator:ab37f39b9e3e224ccde6b36adc876bb19"><td class="memSeparator" colspan="2"> </td></tr> |
| 255 | <tr class="memitem:a96217a8bbb66811608ce729fd49a3dd2"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a96217a8bbb66811608ce729fd49a3dd2">CreateTranspose</a> (const <a class="el" href="structarmnn_1_1_transpose_queue_descriptor.xhtml">TransposeQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 256 | <tr class="separator:a96217a8bbb66811608ce729fd49a3dd2"><td class="memSeparator" colspan="2"> </td></tr> |
| 257 | <tr class="memitem:a12cccba82124cc4993868a3173a65167"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a12cccba82124cc4993868a3173a65167">CreateTransposeConvolution2d</a> (const <a class="el" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.xhtml">TransposeConvolution2dQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> |
| 258 | <tr class="separator:a12cccba82124cc4993868a3173a65167"><td class="memSeparator" colspan="2"> </td></tr> |
| 259 | </table><table class="memberdecls"> |
| 260 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a> |
| 261 | Static Public Member Functions</h2></td></tr> |
| 262 | <tr class="memitem:a74dc9ec1a223eab8b072368b2dacee87"><td class="memItemLeft" align="right" valign="top">static bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &backendId, const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a> &layer, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported)</td></tr> |
| 263 | <tr class="separator:a74dc9ec1a223eab8b072368b2dacee87"><td class="memSeparator" colspan="2"> </td></tr> |
| 264 | <tr class="memitem:a7d94ea841143b76fe08ccb308839bfd7"><td class="memItemLeft" align="right" valign="top">static bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a7d94ea841143b76fe08ccb308839bfd7">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a> &layer, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported)</td></tr> |
| 265 | <tr class="separator:a7d94ea841143b76fe08ccb308839bfd7"><td class="memSeparator" colspan="2"> </td></tr> |
| 266 | </table> |
| 267 | <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| 268 | <div class="textblock"> |
| 269 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8hpp_source.xhtml#l00021">21</a> of file <a class="el" href="_workload_factory_8hpp_source.xhtml">WorkloadFactory.hpp</a>.</p> |
| 270 | </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| 271 | <a id="aab62208f96483015c29ad58549efedd8"></a> |
| 272 | <h2 class="memtitle"><span class="permalink"><a href="#aab62208f96483015c29ad58549efedd8">◆ </a></span>~IWorkloadFactory()</h2> |
| 273 | |
| 274 | <div class="memitem"> |
| 275 | <div class="memproto"> |
| 276 | <table class="mlabels"> |
| 277 | <tr> |
| 278 | <td class="mlabels-left"> |
| 279 | <table class="memname"> |
| 280 | <tr> |
| 281 | <td class="memname">virtual ~<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a> </td> |
| 282 | <td>(</td> |
| 283 | <td class="paramname"></td><td>)</td> |
| 284 | <td></td> |
| 285 | </tr> |
| 286 | </table> |
| 287 | </td> |
| 288 | <td class="mlabels-right"> |
| 289 | <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span> </td> |
| 290 | </tr> |
| 291 | </table> |
| 292 | </div><div class="memdoc"> |
| 293 | |
| 294 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">24</a> of file <a class="el" href="_workload_factory_8hpp_source.xhtml">WorkloadFactory.hpp</a>.</p> |
| 295 | |
| 296 | <p class="reference">References <a class="el" href="_deprecated_8hpp_source.xhtml#l00043">ARMNN_DEPRECATED_MSG</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01093">IWorkloadFactory::CreateAbs()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01099">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01105">IWorkloadFactory::CreateAddition()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01111">IWorkloadFactory::CreateArgMinMax()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01117">IWorkloadFactory::CreateBatchNormalization()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01123">IWorkloadFactory::CreateBatchToSpaceNd()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01129">IWorkloadFactory::CreateComparison()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01141">IWorkloadFactory::CreateConstant()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01147">IWorkloadFactory::CreateConvertFp16ToFp32()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01153">IWorkloadFactory::CreateConvertFp32ToFp16()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01159">IWorkloadFactory::CreateConvolution2d()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01165">IWorkloadFactory::CreateDebug()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01171">IWorkloadFactory::CreateDepthToSpace()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01177">IWorkloadFactory::CreateDepthwiseConvolution2d()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01183">IWorkloadFactory::CreateDequantize()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01189">IWorkloadFactory::CreateDetectionPostProcess()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01195">IWorkloadFactory::CreateDivision()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01201">IWorkloadFactory::CreateElementwiseUnary()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01207">IWorkloadFactory::CreateEqual()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01213">IWorkloadFactory::CreateFakeQuantization()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01219">IWorkloadFactory::CreateFloor()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01225">IWorkloadFactory::CreateFullyConnected()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01231">IWorkloadFactory::CreateGather()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01237">IWorkloadFactory::CreateGreater()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#aa83593035de93eb4b6dddb9dc8f5ced6">IWorkloadFactory::CreateInput()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01243">IWorkloadFactory::CreateInstanceNormalization()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01250">IWorkloadFactory::CreateL2Normalization()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01256">IWorkloadFactory::CreateLogSoftmax()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01262">IWorkloadFactory::CreateLstm()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01268">IWorkloadFactory::CreateMaximum()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01274">IWorkloadFactory::CreateMean()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01280">IWorkloadFactory::CreateMemCopy()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01286">IWorkloadFactory::CreateMemImport()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01292">IWorkloadFactory::CreateMerge()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01298">IWorkloadFactory::CreateMerger()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01304">IWorkloadFactory::CreateMinimum()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01310">IWorkloadFactory::CreateMultiplication()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01316">IWorkloadFactory::CreateNormalization()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01322">IWorkloadFactory::CreateOutput()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01328">IWorkloadFactory::CreatePad()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01334">IWorkloadFactory::CreatePermute()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01340">IWorkloadFactory::CreatePooling2d()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01346">IWorkloadFactory::CreatePreCompiled()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01352">IWorkloadFactory::CreatePrelu()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01358">IWorkloadFactory::CreateQuantize()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01364">IWorkloadFactory::CreateQuantizedLstm()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01370">IWorkloadFactory::CreateReshape()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01382">IWorkloadFactory::CreateResize()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01376">IWorkloadFactory::CreateResizeBilinear()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01388">IWorkloadFactory::CreateRsqrt()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01394">IWorkloadFactory::CreateSlice()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01400">IWorkloadFactory::CreateSoftmax()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01412">IWorkloadFactory::CreateSpaceToBatchNd()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01418">IWorkloadFactory::CreateSpaceToDepth()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01406">IWorkloadFactory::CreateSplitter()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01424">IWorkloadFactory::CreateStack()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01430">IWorkloadFactory::CreateStridedSlice()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01436">IWorkloadFactory::CreateSubtraction()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01442">IWorkloadFactory::CreateSwitch()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01448">IWorkloadFactory::CreateTranspose()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01454">IWorkloadFactory::CreateTransposeConvolution2d()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a9f7e4296485d2812e7996089149c96d1">IWorkloadFactory::GetBackendId()</a>, <a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">armnn::Info</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l00045">IWorkloadFactory::IsLayerSupported()</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p> |
| 297 | <div class="fragment"><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> { }</div></div><!-- fragment --> |
| 298 | </div> |
| 299 | </div> |
| 300 | <h2 class="groupheader">Member Function Documentation</h2> |
| 301 | <a id="ae3ba329a833bbb63961eb64d6477d691"></a> |
| 302 | <h2 class="memtitle"><span class="permalink"><a href="#ae3ba329a833bbb63961eb64d6477d691">◆ </a></span>CreateAbs()</h2> |
| 303 | |
| 304 | <div class="memitem"> |
| 305 | <div class="memproto"> |
| 306 | <table class="mlabels"> |
| 307 | <tr> |
| 308 | <td class="mlabels-left"> |
| 309 | <table class="memname"> |
| 310 | <tr> |
| 311 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateAbs </td> |
| 312 | <td>(</td> |
| 313 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_abs_queue_descriptor.xhtml">AbsQueueDescriptor</a> & </td> |
| 314 | <td class="paramname"><em>descriptor</em>, </td> |
| 315 | </tr> |
| 316 | <tr> |
| 317 | <td class="paramkey"></td> |
| 318 | <td></td> |
| 319 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 320 | <td class="paramname"><em>info</em> </td> |
| 321 | </tr> |
| 322 | <tr> |
| 323 | <td></td> |
| 324 | <td>)</td> |
| 325 | <td></td><td> const</td> |
| 326 | </tr> |
| 327 | </table> |
| 328 | </td> |
| 329 | <td class="mlabels-right"> |
| 330 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 331 | </tr> |
| 332 | </table> |
| 333 | </div><div class="memdoc"> |
| 334 | |
| 335 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a902422ffa1b0076458972c3be051e44d">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a902422ffa1b0076458972c3be051e44d">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a902422ffa1b0076458972c3be051e44d">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4784c591a49826474956353ab0581708">WorkloadFactoryBase</a>.</p> |
| 336 | |
| 337 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01093">1093</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 338 | |
| 339 | <p class="reference">Referenced by <a class="el" href="_abs_layer_8cpp_source.xhtml#l00022">AbsLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 340 | <div class="fragment"><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span> {</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span> }</div></div><!-- fragment --> |
| 341 | </div> |
| 342 | </div> |
| 343 | <a id="a4458d75c0db21c6abc941cd93a6a24c5"></a> |
| 344 | <h2 class="memtitle"><span class="permalink"><a href="#a4458d75c0db21c6abc941cd93a6a24c5">◆ </a></span>CreateActivation()</h2> |
| 345 | |
| 346 | <div class="memitem"> |
| 347 | <div class="memproto"> |
| 348 | <table class="mlabels"> |
| 349 | <tr> |
| 350 | <td class="mlabels-left"> |
| 351 | <table class="memname"> |
| 352 | <tr> |
| 353 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateActivation </td> |
| 354 | <td>(</td> |
| 355 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_activation_queue_descriptor.xhtml">ActivationQueueDescriptor</a> & </td> |
| 356 | <td class="paramname"><em>descriptor</em>, </td> |
| 357 | </tr> |
| 358 | <tr> |
| 359 | <td class="paramkey"></td> |
| 360 | <td></td> |
| 361 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 362 | <td class="paramname"><em>info</em> </td> |
| 363 | </tr> |
| 364 | <tr> |
| 365 | <td></td> |
| 366 | <td>)</td> |
| 367 | <td></td><td> const</td> |
| 368 | </tr> |
| 369 | </table> |
| 370 | </td> |
| 371 | <td class="mlabels-right"> |
| 372 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 373 | </tr> |
| 374 | </table> |
| 375 | </div><div class="memdoc"> |
| 376 | |
| 377 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#af5f7b0f6273c838b6b7d7de8447524f9">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#af5f7b0f6273c838b6b7d7de8447524f9">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#af5f7b0f6273c838b6b7d7de8447524f9">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a789a347180c49b2403e435857501f623">WorkloadFactoryBase</a>.</p> |
| 378 | |
| 379 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01099">1099</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 380 | |
| 381 | <p class="reference">Referenced by <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00023">BoundedReLuTestCommon()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00184">BoundedReLuUint8UpperAndLowerBoundTest()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01142">CompareActivationTestImpl()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00307">ConstantLinearActivationTestCommon()</a>, <a class="el" href="_activation_layer_8cpp_source.xhtml#l00020">ActivationLayer::CreateWorkload()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00392">SimpleActivationTest()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00792">SqrtNNTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 382 | <div class="fragment"><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> {</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> }</div></div><!-- fragment --> |
| 383 | </div> |
| 384 | </div> |
| 385 | <a id="acf187617ed4cdd6625b396d6b194923e"></a> |
| 386 | <h2 class="memtitle"><span class="permalink"><a href="#acf187617ed4cdd6625b396d6b194923e">◆ </a></span>CreateAddition()</h2> |
| 387 | |
| 388 | <div class="memitem"> |
| 389 | <div class="memproto"> |
| 390 | <table class="mlabels"> |
| 391 | <tr> |
| 392 | <td class="mlabels-left"> |
| 393 | <table class="memname"> |
| 394 | <tr> |
| 395 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateAddition </td> |
| 396 | <td>(</td> |
| 397 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_addition_queue_descriptor.xhtml">AdditionQueueDescriptor</a> & </td> |
| 398 | <td class="paramname"><em>descriptor</em>, </td> |
| 399 | </tr> |
| 400 | <tr> |
| 401 | <td class="paramkey"></td> |
| 402 | <td></td> |
| 403 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 404 | <td class="paramname"><em>info</em> </td> |
| 405 | </tr> |
| 406 | <tr> |
| 407 | <td></td> |
| 408 | <td>)</td> |
| 409 | <td></td><td> const</td> |
| 410 | </tr> |
| 411 | </table> |
| 412 | </td> |
| 413 | <td class="mlabels-right"> |
| 414 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 415 | </tr> |
| 416 | </table> |
| 417 | </div><div class="memdoc"> |
| 418 | |
| 419 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a9da9a34fb99114f9d1fb705171a9a6ee">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a9da9a34fb99114f9d1fb705171a9a6ee">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a46e1398968d2f4951ce1fd2b9b70fc5b">NeonWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#a9da9a34fb99114f9d1fb705171a9a6ee">SampleDynamicWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ac1f4d42be05893f74b1237c3356c3c0c">WorkloadFactoryBase</a>.</p> |
| 420 | |
| 421 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01105">1105</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 422 | |
| 423 | <p class="reference">Referenced by <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00454">AdditionAfterMaxPoolTest()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00245">AdditionBroadcast1ElementTestImpl()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00162">AdditionBroadcastTestImpl()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00561">CompareAdditionTest()</a>, <a class="el" href="_addition_layer_8cpp_source.xhtml#l00022">AdditionLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 424 | <div class="fragment"><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span> {</div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span> }</div></div><!-- fragment --> |
| 425 | </div> |
| 426 | </div> |
| 427 | <a id="ac47803c9faacfb7c10219253b99f61ca"></a> |
| 428 | <h2 class="memtitle"><span class="permalink"><a href="#ac47803c9faacfb7c10219253b99f61ca">◆ </a></span>CreateArgMinMax()</h2> |
| 429 | |
| 430 | <div class="memitem"> |
| 431 | <div class="memproto"> |
| 432 | <table class="mlabels"> |
| 433 | <tr> |
| 434 | <td class="mlabels-left"> |
| 435 | <table class="memname"> |
| 436 | <tr> |
| 437 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateArgMinMax </td> |
| 438 | <td>(</td> |
| 439 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_arg_min_max_queue_descriptor.xhtml">ArgMinMaxQueueDescriptor</a> & </td> |
| 440 | <td class="paramname"><em>descriptor</em>, </td> |
| 441 | </tr> |
| 442 | <tr> |
| 443 | <td class="paramkey"></td> |
| 444 | <td></td> |
| 445 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 446 | <td class="paramname"><em>info</em> </td> |
| 447 | </tr> |
| 448 | <tr> |
| 449 | <td></td> |
| 450 | <td>)</td> |
| 451 | <td></td><td> const</td> |
| 452 | </tr> |
| 453 | </table> |
| 454 | </td> |
| 455 | <td class="mlabels-right"> |
| 456 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 457 | </tr> |
| 458 | </table> |
| 459 | </div><div class="memdoc"> |
| 460 | |
| 461 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a3fffcec3624e83671b4623e22ca623e5">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a3fffcec3624e83671b4623e22ca623e5">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3fffcec3624e83671b4623e22ca623e5">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4269d65bcf8068290752d75164934a25">WorkloadFactoryBase</a>.</p> |
| 462 | |
| 463 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01111">1111</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 464 | |
| 465 | <p class="reference">Referenced by <a class="el" href="_arg_min_max_layer_8cpp_source.xhtml#l00024">ArgMinMaxLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 466 | <div class="fragment"><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span> {</div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span> }</div></div><!-- fragment --> |
| 467 | </div> |
| 468 | </div> |
| 469 | <a id="abe1e0d40e23195022c0bc10a8aab55ea"></a> |
| 470 | <h2 class="memtitle"><span class="permalink"><a href="#abe1e0d40e23195022c0bc10a8aab55ea">◆ </a></span>CreateBatchNormalization()</h2> |
| 471 | |
| 472 | <div class="memitem"> |
| 473 | <div class="memproto"> |
| 474 | <table class="mlabels"> |
| 475 | <tr> |
| 476 | <td class="mlabels-left"> |
| 477 | <table class="memname"> |
| 478 | <tr> |
| 479 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateBatchNormalization </td> |
| 480 | <td>(</td> |
| 481 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">BatchNormalizationQueueDescriptor</a> & </td> |
| 482 | <td class="paramname"><em>descriptor</em>, </td> |
| 483 | </tr> |
| 484 | <tr> |
| 485 | <td class="paramkey"></td> |
| 486 | <td></td> |
| 487 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 488 | <td class="paramname"><em>info</em> </td> |
| 489 | </tr> |
| 490 | <tr> |
| 491 | <td></td> |
| 492 | <td>)</td> |
| 493 | <td></td><td> const</td> |
| 494 | </tr> |
| 495 | </table> |
| 496 | </td> |
| 497 | <td class="mlabels-right"> |
| 498 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 499 | </tr> |
| 500 | </table> |
| 501 | </div><div class="memdoc"> |
| 502 | |
| 503 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a9cce78b879d26312fd515270afc1e66a">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a9cce78b879d26312fd515270afc1e66a">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3e5a5e967dfd56b9b1d55ec2739f2edd">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a666c75e9db051b9b07f137a74af8d8b4">WorkloadFactoryBase</a>.</p> |
| 504 | |
| 505 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01117">1117</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 506 | |
| 507 | <p class="reference">Referenced by <a class="el" href="_batch_normalization_test_impl_8cpp_source.xhtml#l00587">CompareBatchNormTest()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00021">BatchNormalizationLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 508 | <div class="fragment"><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span> {</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span> }</div></div><!-- fragment --> |
| 509 | </div> |
| 510 | </div> |
| 511 | <a id="af00ce13ef7dabd17cc4186d0a4991757"></a> |
| 512 | <h2 class="memtitle"><span class="permalink"><a href="#af00ce13ef7dabd17cc4186d0a4991757">◆ </a></span>CreateBatchToSpaceNd()</h2> |
| 513 | |
| 514 | <div class="memitem"> |
| 515 | <div class="memproto"> |
| 516 | <table class="mlabels"> |
| 517 | <tr> |
| 518 | <td class="mlabels-left"> |
| 519 | <table class="memname"> |
| 520 | <tr> |
| 521 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateBatchToSpaceNd </td> |
| 522 | <td>(</td> |
| 523 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_to_space_nd_queue_descriptor.xhtml">BatchToSpaceNdQueueDescriptor</a> & </td> |
| 524 | <td class="paramname"><em>descriptor</em>, </td> |
| 525 | </tr> |
| 526 | <tr> |
| 527 | <td class="paramkey"></td> |
| 528 | <td></td> |
| 529 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 530 | <td class="paramname"><em>Info</em> </td> |
| 531 | </tr> |
| 532 | <tr> |
| 533 | <td></td> |
| 534 | <td>)</td> |
| 535 | <td></td><td> const</td> |
| 536 | </tr> |
| 537 | </table> |
| 538 | </td> |
| 539 | <td class="mlabels-right"> |
| 540 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 541 | </tr> |
| 542 | </table> |
| 543 | </div><div class="memdoc"> |
| 544 | |
| 545 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a455fcb54444e8286dbb3714310e4998b">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a52094433136e6cae57398d861cd483f9">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a455fcb54444e8286dbb3714310e4998b">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a1d54b5c774bdac45f22d1ec57d0a9f3f">NeonWorkloadFactory</a>.</p> |
| 546 | |
| 547 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01123">1123</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 548 | |
| 549 | <p class="reference">Referenced by <a class="el" href="_batch_to_space_nd_layer_8cpp_source.xhtml#l00031">BatchToSpaceNdLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 550 | <div class="fragment"><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span> {</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span> }</div></div><!-- fragment --> |
| 551 | </div> |
| 552 | </div> |
| 553 | <a id="a3fa12033e9be37c529ac54a83ab43b36"></a> |
| 554 | <h2 class="memtitle"><span class="permalink"><a href="#a3fa12033e9be37c529ac54a83ab43b36">◆ </a></span>CreateComparison()</h2> |
| 555 | |
| 556 | <div class="memitem"> |
| 557 | <div class="memproto"> |
| 558 | <table class="mlabels"> |
| 559 | <tr> |
| 560 | <td class="mlabels-left"> |
| 561 | <table class="memname"> |
| 562 | <tr> |
| 563 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateComparison </td> |
| 564 | <td>(</td> |
| 565 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_comparison_queue_descriptor.xhtml">ComparisonQueueDescriptor</a> & </td> |
| 566 | <td class="paramname"><em>descriptor</em>, </td> |
| 567 | </tr> |
| 568 | <tr> |
| 569 | <td class="paramkey"></td> |
| 570 | <td></td> |
| 571 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 572 | <td class="paramname"><em>Info</em> </td> |
| 573 | </tr> |
| 574 | <tr> |
| 575 | <td></td> |
| 576 | <td>)</td> |
| 577 | <td></td><td> const</td> |
| 578 | </tr> |
| 579 | </table> |
| 580 | </td> |
| 581 | <td class="mlabels-right"> |
| 582 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 583 | </tr> |
| 584 | </table> |
| 585 | </div><div class="memdoc"> |
| 586 | |
| 587 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a2d8ef97ae45e9a37d096f14b0a40136c">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a3d5de4e35ccddc5cfe79e530558d5184">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a2d8ef97ae45e9a37d096f14b0a40136c">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3d6501ad29a91db467a01ed0e36a96d2">NeonWorkloadFactory</a>.</p> |
| 588 | |
| 589 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01129">1129</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 590 | |
| 591 | <p class="reference">Referenced by <a class="el" href="_comparison_layer_8cpp_source.xhtml#l00023">ComparisonLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 592 | <div class="fragment"><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span> {</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span> }</div></div><!-- fragment --> |
| 593 | </div> |
| 594 | </div> |
| 595 | <a id="a32bb8d6cf5fc028bf501252767c08b21"></a> |
| 596 | <h2 class="memtitle"><span class="permalink"><a href="#a32bb8d6cf5fc028bf501252767c08b21">◆ </a></span>CreateConcat()</h2> |
| 597 | |
| 598 | <div class="memitem"> |
| 599 | <div class="memproto"> |
| 600 | <table class="mlabels"> |
| 601 | <tr> |
| 602 | <td class="mlabels-left"> |
| 603 | <table class="memname"> |
| 604 | <tr> |
| 605 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateConcat </td> |
| 606 | <td>(</td> |
| 607 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> & </td> |
| 608 | <td class="paramname"><em>descriptor</em>, </td> |
| 609 | </tr> |
| 610 | <tr> |
| 611 | <td class="paramkey"></td> |
| 612 | <td></td> |
| 613 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 614 | <td class="paramname"><em>info</em> </td> |
| 615 | </tr> |
| 616 | <tr> |
| 617 | <td></td> |
| 618 | <td>)</td> |
| 619 | <td></td><td> const</td> |
| 620 | </tr> |
| 621 | </table> |
| 622 | </td> |
| 623 | <td class="mlabels-right"> |
| 624 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 625 | </tr> |
| 626 | </table> |
| 627 | </div><div class="memdoc"> |
| 628 | |
| 629 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a1f89ceb71ffc990170fe834cddb697fa">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a713c3685138355b145f4d17e473bf543">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a1f89ceb71ffc990170fe834cddb697fa">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a6c8caa2fb12f36f83fde85da03a87c42">NeonWorkloadFactory</a>.</p> |
| 630 | |
| 631 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">1135</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 632 | |
| 633 | <p class="reference">Referenced by <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l01916">ConcatDifferentInputOutputQParamTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00272">Concatenate()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02072">ConcatTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02635">ConcatUint16Test()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02352">ConcatUint8DifferentQParamsTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02497">ConcatUint8Test()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00022">ConcatLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 634 | <div class="fragment"><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span> {</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span> }</div></div><!-- fragment --> |
| 635 | </div> |
| 636 | </div> |
| 637 | <a id="a963bd7acce29a83d96daeb2cea34f2f7"></a> |
| 638 | <h2 class="memtitle"><span class="permalink"><a href="#a963bd7acce29a83d96daeb2cea34f2f7">◆ </a></span>CreateConstant()</h2> |
| 639 | |
| 640 | <div class="memitem"> |
| 641 | <div class="memproto"> |
| 642 | <table class="mlabels"> |
| 643 | <tr> |
| 644 | <td class="mlabels-left"> |
| 645 | <table class="memname"> |
| 646 | <tr> |
| 647 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateConstant </td> |
| 648 | <td>(</td> |
| 649 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</a> & </td> |
| 650 | <td class="paramname"><em>descriptor</em>, </td> |
| 651 | </tr> |
| 652 | <tr> |
| 653 | <td class="paramkey"></td> |
| 654 | <td></td> |
| 655 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 656 | <td class="paramname"><em>info</em> </td> |
| 657 | </tr> |
| 658 | <tr> |
| 659 | <td></td> |
| 660 | <td>)</td> |
| 661 | <td></td><td> const</td> |
| 662 | </tr> |
| 663 | </table> |
| 664 | </td> |
| 665 | <td class="mlabels-right"> |
| 666 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 667 | </tr> |
| 668 | </table> |
| 669 | </div><div class="memdoc"> |
| 670 | |
| 671 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aa6ef3324f715ccf62d235aa54118d174">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a0da6f270ae7ce126b29a8918d858e814">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aa6ef3324f715ccf62d235aa54118d174">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aa6ef3324f715ccf62d235aa54118d174">NeonWorkloadFactory</a>.</p> |
| 672 | |
| 673 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01141">1141</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 674 | |
| 675 | <p class="reference">Referenced by <a class="el" href="_constant_layer_8cpp_source.xhtml#l00021">ConstantLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 676 | <div class="fragment"><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span> {</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span> }</div></div><!-- fragment --> |
| 677 | </div> |
| 678 | </div> |
| 679 | <a id="a83e0a21747c1ce29b2083c1e3b1d88af"></a> |
| 680 | <h2 class="memtitle"><span class="permalink"><a href="#a83e0a21747c1ce29b2083c1e3b1d88af">◆ </a></span>CreateConvertFp16ToFp32()</h2> |
| 681 | |
| 682 | <div class="memitem"> |
| 683 | <div class="memproto"> |
| 684 | <table class="mlabels"> |
| 685 | <tr> |
| 686 | <td class="mlabels-left"> |
| 687 | <table class="memname"> |
| 688 | <tr> |
| 689 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateConvertFp16ToFp32 </td> |
| 690 | <td>(</td> |
| 691 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">ConvertFp16ToFp32QueueDescriptor</a> & </td> |
| 692 | <td class="paramname"><em>descriptor</em>, </td> |
| 693 | </tr> |
| 694 | <tr> |
| 695 | <td class="paramkey"></td> |
| 696 | <td></td> |
| 697 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 698 | <td class="paramname"><em>info</em> </td> |
| 699 | </tr> |
| 700 | <tr> |
| 701 | <td></td> |
| 702 | <td>)</td> |
| 703 | <td></td><td> const</td> |
| 704 | </tr> |
| 705 | </table> |
| 706 | </td> |
| 707 | <td class="mlabels-right"> |
| 708 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 709 | </tr> |
| 710 | </table> |
| 711 | </div><div class="memdoc"> |
| 712 | |
| 713 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aefe6a68cb6d7ba517d7988195680c831">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4e3b8d5650cb78c97a2eceb034209187">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aefe6a68cb6d7ba517d7988195680c831">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aefe6a68cb6d7ba517d7988195680c831">NeonWorkloadFactory</a>.</p> |
| 714 | |
| 715 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01147">1147</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 716 | |
| 717 | <p class="reference">Referenced by <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.xhtml#l00022">ConvertFp16ToFp32Layer::CreateWorkload()</a>, <a class="el" href="_convert_fp16_to_fp32_test_impl_8cpp_source.xhtml#l00016">SimpleConvertFp16ToFp32Test()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 718 | <div class="fragment"><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span> {</div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span> }</div></div><!-- fragment --> |
| 719 | </div> |
| 720 | </div> |
| 721 | <a id="a2b414a001b6b31d00bfe4056fd6740c5"></a> |
| 722 | <h2 class="memtitle"><span class="permalink"><a href="#a2b414a001b6b31d00bfe4056fd6740c5">◆ </a></span>CreateConvertFp32ToFp16()</h2> |
| 723 | |
| 724 | <div class="memitem"> |
| 725 | <div class="memproto"> |
| 726 | <table class="mlabels"> |
| 727 | <tr> |
| 728 | <td class="mlabels-left"> |
| 729 | <table class="memname"> |
| 730 | <tr> |
| 731 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateConvertFp32ToFp16 </td> |
| 732 | <td>(</td> |
| 733 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.xhtml">ConvertFp32ToFp16QueueDescriptor</a> & </td> |
| 734 | <td class="paramname"><em>descriptor</em>, </td> |
| 735 | </tr> |
| 736 | <tr> |
| 737 | <td class="paramkey"></td> |
| 738 | <td></td> |
| 739 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 740 | <td class="paramname"><em>info</em> </td> |
| 741 | </tr> |
| 742 | <tr> |
| 743 | <td></td> |
| 744 | <td>)</td> |
| 745 | <td></td><td> const</td> |
| 746 | </tr> |
| 747 | </table> |
| 748 | </td> |
| 749 | <td class="mlabels-right"> |
| 750 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 751 | </tr> |
| 752 | </table> |
| 753 | </div><div class="memdoc"> |
| 754 | |
| 755 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a33b291201b6716e295afb17c1eb0864e">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a17042914356fe13b708c3702cb82ab7f">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a33b291201b6716e295afb17c1eb0864e">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a33b291201b6716e295afb17c1eb0864e">NeonWorkloadFactory</a>.</p> |
| 756 | |
| 757 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01153">1153</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 758 | |
| 759 | <p class="reference">Referenced by <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.xhtml#l00021">ConvertFp32ToFp16Layer::CreateWorkload()</a>, <a class="el" href="_convert_fp32_to_fp16_test_impl_8cpp_source.xhtml#l00014">SimpleConvertFp32ToFp16Test()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 760 | <div class="fragment"><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span> {</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span> }</div></div><!-- fragment --> |
| 761 | </div> |
| 762 | </div> |
| 763 | <a id="a2184995027cd2c9f9980206de9658855"></a> |
| 764 | <h2 class="memtitle"><span class="permalink"><a href="#a2184995027cd2c9f9980206de9658855">◆ </a></span>CreateConvolution2d()</h2> |
| 765 | |
| 766 | <div class="memitem"> |
| 767 | <div class="memproto"> |
| 768 | <table class="mlabels"> |
| 769 | <tr> |
| 770 | <td class="mlabels-left"> |
| 771 | <table class="memname"> |
| 772 | <tr> |
| 773 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateConvolution2d </td> |
| 774 | <td>(</td> |
| 775 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_convolution2d_queue_descriptor.xhtml">Convolution2dQueueDescriptor</a> & </td> |
| 776 | <td class="paramname"><em>descriptor</em>, </td> |
| 777 | </tr> |
| 778 | <tr> |
| 779 | <td class="paramkey"></td> |
| 780 | <td></td> |
| 781 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 782 | <td class="paramname"><em>info</em> </td> |
| 783 | </tr> |
| 784 | <tr> |
| 785 | <td></td> |
| 786 | <td>)</td> |
| 787 | <td></td><td> const</td> |
| 788 | </tr> |
| 789 | </table> |
| 790 | </td> |
| 791 | <td class="mlabels-right"> |
| 792 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 793 | </tr> |
| 794 | </table> |
| 795 | </div><div class="memdoc"> |
| 796 | |
| 797 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a661b8b943d4a28ef6c8fd19bf223c61e">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4a781a9541d2c44c5fec0ffc8434447c">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a661b8b943d4a28ef6c8fd19bf223c61e">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a004cfce1311cd19d48b6705f4d80aa6c">NeonWorkloadFactory</a>.</p> |
| 798 | |
| 799 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01159">1159</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 800 | |
| 801 | <p class="reference">Referenced by <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01277">CompareConvolution2dTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00460">Convolution1dTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l03092">Convolution2dPerAxisQuantTest()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.xhtml#l00049">Convolution2dLayer::CreateWorkload()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00367">SimpleConvolution2dNhwcTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00201">SimpleConvolution2dTestImpl()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 802 | <div class="fragment"><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span> {</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span> }</div></div><!-- fragment --> |
| 803 | </div> |
| 804 | </div> |
| 805 | <a id="a00346a3754d9411bba2e29dc1f996ac6"></a> |
| 806 | <h2 class="memtitle"><span class="permalink"><a href="#a00346a3754d9411bba2e29dc1f996ac6">◆ </a></span>CreateDebug()</h2> |
| 807 | |
| 808 | <div class="memitem"> |
| 809 | <div class="memproto"> |
| 810 | <table class="mlabels"> |
| 811 | <tr> |
| 812 | <td class="mlabels-left"> |
| 813 | <table class="memname"> |
| 814 | <tr> |
| 815 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateDebug </td> |
| 816 | <td>(</td> |
| 817 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_debug_queue_descriptor.xhtml">DebugQueueDescriptor</a> & </td> |
| 818 | <td class="paramname"><em>descriptor</em>, </td> |
| 819 | </tr> |
| 820 | <tr> |
| 821 | <td class="paramkey"></td> |
| 822 | <td></td> |
| 823 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 824 | <td class="paramname"><em>info</em> </td> |
| 825 | </tr> |
| 826 | <tr> |
| 827 | <td></td> |
| 828 | <td>)</td> |
| 829 | <td></td><td> const</td> |
| 830 | </tr> |
| 831 | </table> |
| 832 | </td> |
| 833 | <td class="mlabels-right"> |
| 834 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 835 | </tr> |
| 836 | </table> |
| 837 | </div><div class="memdoc"> |
| 838 | |
| 839 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aca1333805c6665111154f10cc72c8234">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ad99e6a9f4e78ba4690429850de69fadd">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aca1333805c6665111154f10cc72c8234">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aca1333805c6665111154f10cc72c8234">NeonWorkloadFactory</a>.</p> |
| 840 | |
| 841 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01165">1165</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 842 | |
| 843 | <p class="reference">Referenced by <a class="el" href="_debug_layer_8cpp_source.xhtml#l00020">DebugLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 844 | <div class="fragment"><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span> {</div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span> }</div></div><!-- fragment --> |
| 845 | </div> |
| 846 | </div> |
| 847 | <a id="a3c3a47828ee252dca111605c9be4b072"></a> |
| 848 | <h2 class="memtitle"><span class="permalink"><a href="#a3c3a47828ee252dca111605c9be4b072">◆ </a></span>CreateDepthToSpace()</h2> |
| 849 | |
| 850 | <div class="memitem"> |
| 851 | <div class="memproto"> |
| 852 | <table class="mlabels"> |
| 853 | <tr> |
| 854 | <td class="mlabels-left"> |
| 855 | <table class="memname"> |
| 856 | <tr> |
| 857 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateDepthToSpace </td> |
| 858 | <td>(</td> |
| 859 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_depth_to_space_queue_descriptor.xhtml">DepthToSpaceQueueDescriptor</a> & </td> |
| 860 | <td class="paramname"><em>descriptor</em>, </td> |
| 861 | </tr> |
| 862 | <tr> |
| 863 | <td class="paramkey"></td> |
| 864 | <td></td> |
| 865 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 866 | <td class="paramname"><em>info</em> </td> |
| 867 | </tr> |
| 868 | <tr> |
| 869 | <td></td> |
| 870 | <td>)</td> |
| 871 | <td></td><td> const</td> |
| 872 | </tr> |
| 873 | </table> |
| 874 | </td> |
| 875 | <td class="mlabels-right"> |
| 876 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 877 | </tr> |
| 878 | </table> |
| 879 | </div><div class="memdoc"> |
| 880 | |
| 881 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#af77fb45622aedb3f2ee36b412fea8735">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1b2165c83d6501e8ede91324c31a95f4">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#af77fb45622aedb3f2ee36b412fea8735">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#af77fb45622aedb3f2ee36b412fea8735">NeonWorkloadFactory</a>.</p> |
| 882 | |
| 883 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01171">1171</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 884 | |
| 885 | <p class="reference">Referenced by <a class="el" href="_depth_to_space_layer_8cpp_source.xhtml#l00025">DepthToSpaceLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 886 | <div class="fragment"><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span> {</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span> }</div></div><!-- fragment --> |
| 887 | </div> |
| 888 | </div> |
| 889 | <a id="accb9759dfd2880efe0f8d2705ddee448"></a> |
| 890 | <h2 class="memtitle"><span class="permalink"><a href="#accb9759dfd2880efe0f8d2705ddee448">◆ </a></span>CreateDepthwiseConvolution2d()</h2> |
| 891 | |
| 892 | <div class="memitem"> |
| 893 | <div class="memproto"> |
| 894 | <table class="mlabels"> |
| 895 | <tr> |
| 896 | <td class="mlabels-left"> |
| 897 | <table class="memname"> |
| 898 | <tr> |
| 899 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateDepthwiseConvolution2d </td> |
| 900 | <td>(</td> |
| 901 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml">DepthwiseConvolution2dQueueDescriptor</a> & </td> |
| 902 | <td class="paramname"><em>descriptor</em>, </td> |
| 903 | </tr> |
| 904 | <tr> |
| 905 | <td class="paramkey"></td> |
| 906 | <td></td> |
| 907 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 908 | <td class="paramname"><em>info</em> </td> |
| 909 | </tr> |
| 910 | <tr> |
| 911 | <td></td> |
| 912 | <td>)</td> |
| 913 | <td></td><td> const</td> |
| 914 | </tr> |
| 915 | </table> |
| 916 | </td> |
| 917 | <td class="mlabels-right"> |
| 918 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 919 | </tr> |
| 920 | </table> |
| 921 | </div><div class="memdoc"> |
| 922 | |
| 923 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a48ebe514c1ca3e41edccdd7682bf38ca">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a2314defaf9c8b1ffcf59e7e509a959d6">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a48ebe514c1ca3e41edccdd7682bf38ca">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a48ebe514c1ca3e41edccdd7682bf38ca">NeonWorkloadFactory</a>.</p> |
| 924 | |
| 925 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01177">1177</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 926 | |
| 927 | <p class="reference">Referenced by <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l02669">CompareDepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00051">DepthwiseConvolution2dLayer::CreateWorkload()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01381">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01518">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l03316">DepthwiseConvolution2dPerAxisQuantTest()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01671">DepthwiseConvolution2dTestImpl()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 928 | <div class="fragment"><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span> {</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span> }</div></div><!-- fragment --> |
| 929 | </div> |
| 930 | </div> |
| 931 | <a id="a3243806bf6c89df8952cc0a3601e538b"></a> |
| 932 | <h2 class="memtitle"><span class="permalink"><a href="#a3243806bf6c89df8952cc0a3601e538b">◆ </a></span>CreateDequantize()</h2> |
| 933 | |
| 934 | <div class="memitem"> |
| 935 | <div class="memproto"> |
| 936 | <table class="mlabels"> |
| 937 | <tr> |
| 938 | <td class="mlabels-left"> |
| 939 | <table class="memname"> |
| 940 | <tr> |
| 941 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateDequantize </td> |
| 942 | <td>(</td> |
| 943 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_dequantize_queue_descriptor.xhtml">DequantizeQueueDescriptor</a> & </td> |
| 944 | <td class="paramname"><em>descriptor</em>, </td> |
| 945 | </tr> |
| 946 | <tr> |
| 947 | <td class="paramkey"></td> |
| 948 | <td></td> |
| 949 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 950 | <td class="paramname"><em>info</em> </td> |
| 951 | </tr> |
| 952 | <tr> |
| 953 | <td></td> |
| 954 | <td>)</td> |
| 955 | <td></td><td> const</td> |
| 956 | </tr> |
| 957 | </table> |
| 958 | </td> |
| 959 | <td class="mlabels-right"> |
| 960 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 961 | </tr> |
| 962 | </table> |
| 963 | </div><div class="memdoc"> |
| 964 | |
| 965 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ab345edf481dd64a3ced4c0808d4ee844">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1f17745331f928011cc1ea162866b8e7">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ab345edf481dd64a3ced4c0808d4ee844">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#ab345edf481dd64a3ced4c0808d4ee844">NeonWorkloadFactory</a>.</p> |
| 966 | |
| 967 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01183">1183</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 968 | |
| 969 | <p class="reference">Referenced by <a class="el" href="_dequantize_layer_8cpp_source.xhtml#l00019">DequantizeLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 970 | <div class="fragment"><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span> {</div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span> }</div></div><!-- fragment --> |
| 971 | </div> |
| 972 | </div> |
| 973 | <a id="ad0da07faa15302377aa97be89c57677c"></a> |
| 974 | <h2 class="memtitle"><span class="permalink"><a href="#ad0da07faa15302377aa97be89c57677c">◆ </a></span>CreateDetectionPostProcess()</h2> |
| 975 | |
| 976 | <div class="memitem"> |
| 977 | <div class="memproto"> |
| 978 | <table class="mlabels"> |
| 979 | <tr> |
| 980 | <td class="mlabels-left"> |
| 981 | <table class="memname"> |
| 982 | <tr> |
| 983 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateDetectionPostProcess </td> |
| 984 | <td>(</td> |
| 985 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">DetectionPostProcessQueueDescriptor</a> & </td> |
| 986 | <td class="paramname"><em>descriptor</em>, </td> |
| 987 | </tr> |
| 988 | <tr> |
| 989 | <td class="paramkey"></td> |
| 990 | <td></td> |
| 991 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 992 | <td class="paramname"><em>info</em> </td> |
| 993 | </tr> |
| 994 | <tr> |
| 995 | <td></td> |
| 996 | <td>)</td> |
| 997 | <td></td><td> const</td> |
| 998 | </tr> |
| 999 | </table> |
| 1000 | </td> |
| 1001 | <td class="mlabels-right"> |
| 1002 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1003 | </tr> |
| 1004 | </table> |
| 1005 | </div><div class="memdoc"> |
| 1006 | |
| 1007 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a3a2d9b8e1156605172ada1472e9460cd">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ac8ff2a4e63a9954fd6b3e9fc6dfa9bf0">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a3a2d9b8e1156605172ada1472e9460cd">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3a2d9b8e1156605172ada1472e9460cd">NeonWorkloadFactory</a>.</p> |
| 1008 | |
| 1009 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01189">1189</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1010 | |
| 1011 | <p class="reference">Referenced by <a class="el" href="_detection_post_process_layer_8cpp_source.xhtml#l00023">DetectionPostProcessLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1012 | <div class="fragment"><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span> {</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span> }</div></div><!-- fragment --> |
| 1013 | </div> |
| 1014 | </div> |
| 1015 | <a id="a20bb773c7fd6253418bdedac1312cd19"></a> |
| 1016 | <h2 class="memtitle"><span class="permalink"><a href="#a20bb773c7fd6253418bdedac1312cd19">◆ </a></span>CreateDivision()</h2> |
| 1017 | |
| 1018 | <div class="memitem"> |
| 1019 | <div class="memproto"> |
| 1020 | <table class="mlabels"> |
| 1021 | <tr> |
| 1022 | <td class="mlabels-left"> |
| 1023 | <table class="memname"> |
| 1024 | <tr> |
| 1025 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateDivision </td> |
| 1026 | <td>(</td> |
| 1027 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_division_queue_descriptor.xhtml">DivisionQueueDescriptor</a> & </td> |
| 1028 | <td class="paramname"><em>descriptor</em>, </td> |
| 1029 | </tr> |
| 1030 | <tr> |
| 1031 | <td class="paramkey"></td> |
| 1032 | <td></td> |
| 1033 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1034 | <td class="paramname"><em>info</em> </td> |
| 1035 | </tr> |
| 1036 | <tr> |
| 1037 | <td></td> |
| 1038 | <td>)</td> |
| 1039 | <td></td><td> const</td> |
| 1040 | </tr> |
| 1041 | </table> |
| 1042 | </td> |
| 1043 | <td class="mlabels-right"> |
| 1044 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1045 | </tr> |
| 1046 | </table> |
| 1047 | </div><div class="memdoc"> |
| 1048 | |
| 1049 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a11cb76f59b65109b8557d43b3cb1bc06">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1c7e383368cb078a1faac0a4e4f763a1">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a11cb76f59b65109b8557d43b3cb1bc06">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a94a90252763f05b6c957f68f84e65c66">NeonWorkloadFactory</a>.</p> |
| 1050 | |
| 1051 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01195">1195</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1052 | |
| 1053 | <p class="reference">Referenced by <a class="el" href="_division_layer_8cpp_source.xhtml#l00022">DivisionLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1054 | <div class="fragment"><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span> {</div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span> }</div></div><!-- fragment --> |
| 1055 | </div> |
| 1056 | </div> |
| 1057 | <a id="a12d2c4e0f0b0d6b36d8a3e14bf69f9e4"></a> |
| 1058 | <h2 class="memtitle"><span class="permalink"><a href="#a12d2c4e0f0b0d6b36d8a3e14bf69f9e4">◆ </a></span>CreateElementwiseUnary()</h2> |
| 1059 | |
| 1060 | <div class="memitem"> |
| 1061 | <div class="memproto"> |
| 1062 | <table class="mlabels"> |
| 1063 | <tr> |
| 1064 | <td class="mlabels-left"> |
| 1065 | <table class="memname"> |
| 1066 | <tr> |
| 1067 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateElementwiseUnary </td> |
| 1068 | <td>(</td> |
| 1069 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_elementwise_unary_queue_descriptor.xhtml">ElementwiseUnaryQueueDescriptor</a> & </td> |
| 1070 | <td class="paramname"><em>descriptor</em>, </td> |
| 1071 | </tr> |
| 1072 | <tr> |
| 1073 | <td class="paramkey"></td> |
| 1074 | <td></td> |
| 1075 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1076 | <td class="paramname"><em>Info</em> </td> |
| 1077 | </tr> |
| 1078 | <tr> |
| 1079 | <td></td> |
| 1080 | <td>)</td> |
| 1081 | <td></td><td> const</td> |
| 1082 | </tr> |
| 1083 | </table> |
| 1084 | </td> |
| 1085 | <td class="mlabels-right"> |
| 1086 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1087 | </tr> |
| 1088 | </table> |
| 1089 | </div><div class="memdoc"> |
| 1090 | |
| 1091 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ae9de0dcd1cd7bc40deb74c6926361401">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a09f09645c2289d5d47dbea7c011d5f0e">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ae9de0dcd1cd7bc40deb74c6926361401">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a447013b9d70a1d74196449d1a3f56acc">NeonWorkloadFactory</a>.</p> |
| 1092 | |
| 1093 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01201">1201</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1094 | |
| 1095 | <p class="reference">Referenced by <a class="el" href="_elementwise_unary_layer_8cpp_source.xhtml#l00023">ElementwiseUnaryLayer::CreateWorkload()</a>, <a class="el" href="_elementwise_unary_test_impl_8cpp_source.xhtml#l00008">CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1096 | <div class="fragment"><div class="line"><a name="l01203"></a><span class="lineno"> 1203</span> {</div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span> }</div></div><!-- fragment --> |
| 1097 | </div> |
| 1098 | </div> |
| 1099 | <a id="a096bb62d44fadf079ea4463379d4e6aa"></a> |
| 1100 | <h2 class="memtitle"><span class="permalink"><a href="#a096bb62d44fadf079ea4463379d4e6aa">◆ </a></span>CreateEqual()</h2> |
| 1101 | |
| 1102 | <div class="memitem"> |
| 1103 | <div class="memproto"> |
| 1104 | <table class="mlabels"> |
| 1105 | <tr> |
| 1106 | <td class="mlabels-left"> |
| 1107 | <table class="memname"> |
| 1108 | <tr> |
| 1109 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateEqual </td> |
| 1110 | <td>(</td> |
| 1111 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_equal_queue_descriptor.xhtml">EqualQueueDescriptor</a> & </td> |
| 1112 | <td class="paramname"><em>descriptor</em>, </td> |
| 1113 | </tr> |
| 1114 | <tr> |
| 1115 | <td class="paramkey"></td> |
| 1116 | <td></td> |
| 1117 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1118 | <td class="paramname"><em>Info</em> </td> |
| 1119 | </tr> |
| 1120 | <tr> |
| 1121 | <td></td> |
| 1122 | <td>)</td> |
| 1123 | <td></td><td> const</td> |
| 1124 | </tr> |
| 1125 | </table> |
| 1126 | </td> |
| 1127 | <td class="mlabels-right"> |
| 1128 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1129 | </tr> |
| 1130 | </table> |
| 1131 | </div><div class="memdoc"> |
| 1132 | |
| 1133 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aa31f52c6b8c2092a41acb4890b910d2b">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aa31f52c6b8c2092a41acb4890b910d2b">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aa31f52c6b8c2092a41acb4890b910d2b">ClWorkloadFactory</a>.</p> |
| 1134 | |
| 1135 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01207">1207</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1136 | |
| 1137 | <p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1138 | <div class="fragment"><div class="line"><a name="l01209"></a><span class="lineno"> 1209</span> {</div><div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01211"></a><span class="lineno"> 1211</span> }</div></div><!-- fragment --> |
| 1139 | </div> |
| 1140 | </div> |
| 1141 | <a id="a42581f3d1c22e64b7f3676ea20acab0e"></a> |
| 1142 | <h2 class="memtitle"><span class="permalink"><a href="#a42581f3d1c22e64b7f3676ea20acab0e">◆ </a></span>CreateFakeQuantization()</h2> |
| 1143 | |
| 1144 | <div class="memitem"> |
| 1145 | <div class="memproto"> |
| 1146 | <table class="mlabels"> |
| 1147 | <tr> |
| 1148 | <td class="mlabels-left"> |
| 1149 | <table class="memname"> |
| 1150 | <tr> |
| 1151 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateFakeQuantization </td> |
| 1152 | <td>(</td> |
| 1153 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_fake_quantization_queue_descriptor.xhtml">FakeQuantizationQueueDescriptor</a> & </td> |
| 1154 | <td class="paramname"><em>descriptor</em>, </td> |
| 1155 | </tr> |
| 1156 | <tr> |
| 1157 | <td class="paramkey"></td> |
| 1158 | <td></td> |
| 1159 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1160 | <td class="paramname"><em>info</em> </td> |
| 1161 | </tr> |
| 1162 | <tr> |
| 1163 | <td></td> |
| 1164 | <td>)</td> |
| 1165 | <td></td><td> const</td> |
| 1166 | </tr> |
| 1167 | </table> |
| 1168 | </td> |
| 1169 | <td class="mlabels-right"> |
| 1170 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1171 | </tr> |
| 1172 | </table> |
| 1173 | </div><div class="memdoc"> |
| 1174 | |
| 1175 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a5ebad711e7e91ca3fd60eed73686a482">WorkloadFactoryBase</a>, and <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ac5797618555c747b254667e328f8d5c3">RefWorkloadFactory</a>.</p> |
| 1176 | |
| 1177 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01213">1213</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1178 | |
| 1179 | <p class="reference">Referenced by <a class="el" href="_fake_quantization_layer_8cpp_source.xhtml#l00021">FakeQuantizationLayer::CreateWorkload()</a>, <a class="el" href="_fake_quantization_test_impl_8cpp_source.xhtml#l00016">FakeQuantizationTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1180 | <div class="fragment"><div class="line"><a name="l01215"></a><span class="lineno"> 1215</span> {</div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01217"></a><span class="lineno"> 1217</span> }</div></div><!-- fragment --> |
| 1181 | </div> |
| 1182 | </div> |
| 1183 | <a id="aa1a45333dc35cb5ba9ab71fca4f359e4"></a> |
| 1184 | <h2 class="memtitle"><span class="permalink"><a href="#aa1a45333dc35cb5ba9ab71fca4f359e4">◆ </a></span>CreateFloor()</h2> |
| 1185 | |
| 1186 | <div class="memitem"> |
| 1187 | <div class="memproto"> |
| 1188 | <table class="mlabels"> |
| 1189 | <tr> |
| 1190 | <td class="mlabels-left"> |
| 1191 | <table class="memname"> |
| 1192 | <tr> |
| 1193 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateFloor </td> |
| 1194 | <td>(</td> |
| 1195 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_floor_queue_descriptor.xhtml">FloorQueueDescriptor</a> & </td> |
| 1196 | <td class="paramname"><em>descriptor</em>, </td> |
| 1197 | </tr> |
| 1198 | <tr> |
| 1199 | <td class="paramkey"></td> |
| 1200 | <td></td> |
| 1201 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1202 | <td class="paramname"><em>info</em> </td> |
| 1203 | </tr> |
| 1204 | <tr> |
| 1205 | <td></td> |
| 1206 | <td>)</td> |
| 1207 | <td></td><td> const</td> |
| 1208 | </tr> |
| 1209 | </table> |
| 1210 | </td> |
| 1211 | <td class="mlabels-right"> |
| 1212 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1213 | </tr> |
| 1214 | </table> |
| 1215 | </div><div class="memdoc"> |
| 1216 | |
| 1217 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4101fcf76e3bbc979b2276631617aabe">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aac4c7cd17cf3dc3a23fd4a21933c60cb">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aac4c7cd17cf3dc3a23fd4a21933c60cb">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aac4c7cd17cf3dc3a23fd4a21933c60cb">ClWorkloadFactory</a>.</p> |
| 1218 | |
| 1219 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01219">1219</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1220 | |
| 1221 | <p class="reference">Referenced by <a class="el" href="_floor_layer_8cpp_source.xhtml#l00021">FloorLayer::CreateWorkload()</a>, <a class="el" href="_floor_test_impl_8cpp_source.xhtml#l00015">SimpleFloorTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1222 | <div class="fragment"><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span> {</div><div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01223"></a><span class="lineno"> 1223</span> }</div></div><!-- fragment --> |
| 1223 | </div> |
| 1224 | </div> |
| 1225 | <a id="a1c193739520e08f686b347ff795ad2fe"></a> |
| 1226 | <h2 class="memtitle"><span class="permalink"><a href="#a1c193739520e08f686b347ff795ad2fe">◆ </a></span>CreateFullyConnected()</h2> |
| 1227 | |
| 1228 | <div class="memitem"> |
| 1229 | <div class="memproto"> |
| 1230 | <table class="mlabels"> |
| 1231 | <tr> |
| 1232 | <td class="mlabels-left"> |
| 1233 | <table class="memname"> |
| 1234 | <tr> |
| 1235 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateFullyConnected </td> |
| 1236 | <td>(</td> |
| 1237 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_fully_connected_queue_descriptor.xhtml">FullyConnectedQueueDescriptor</a> & </td> |
| 1238 | <td class="paramname"><em>descriptor</em>, </td> |
| 1239 | </tr> |
| 1240 | <tr> |
| 1241 | <td class="paramkey"></td> |
| 1242 | <td></td> |
| 1243 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1244 | <td class="paramname"><em>info</em> </td> |
| 1245 | </tr> |
| 1246 | <tr> |
| 1247 | <td></td> |
| 1248 | <td>)</td> |
| 1249 | <td></td><td> const</td> |
| 1250 | </tr> |
| 1251 | </table> |
| 1252 | </td> |
| 1253 | <td class="mlabels-right"> |
| 1254 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1255 | </tr> |
| 1256 | </table> |
| 1257 | </div><div class="memdoc"> |
| 1258 | |
| 1259 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#af5ace6034148c3fe048db884058f04cf">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a1fdd5dfd04433d84de96c71664cce5a9">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3b1e84836871f27a15add7f08736f139">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a1fdd5dfd04433d84de96c71664cce5a9">ClWorkloadFactory</a>.</p> |
| 1260 | |
| 1261 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01225">1225</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1262 | |
| 1263 | <p class="reference">Referenced by <a class="el" href="_fully_connected_layer_8cpp_source.xhtml#l00022">FullyConnectedLayer::CreateWorkload()</a>, <a class="el" href="_fully_connected_test_impl_8cpp_source.xhtml#l00024">SimpleFullyConnectedTestImpl()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1264 | <div class="fragment"><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span> {</div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span> }</div></div><!-- fragment --> |
| 1265 | </div> |
| 1266 | </div> |
| 1267 | <a id="a91fe56cae7e970d90f6e7f54427e7d44"></a> |
| 1268 | <h2 class="memtitle"><span class="permalink"><a href="#a91fe56cae7e970d90f6e7f54427e7d44">◆ </a></span>CreateGather()</h2> |
| 1269 | |
| 1270 | <div class="memitem"> |
| 1271 | <div class="memproto"> |
| 1272 | <table class="mlabels"> |
| 1273 | <tr> |
| 1274 | <td class="mlabels-left"> |
| 1275 | <table class="memname"> |
| 1276 | <tr> |
| 1277 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateGather </td> |
| 1278 | <td>(</td> |
| 1279 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_gather_queue_descriptor.xhtml">GatherQueueDescriptor</a> & </td> |
| 1280 | <td class="paramname"><em>descriptor</em>, </td> |
| 1281 | </tr> |
| 1282 | <tr> |
| 1283 | <td class="paramkey"></td> |
| 1284 | <td></td> |
| 1285 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1286 | <td class="paramname"><em>info</em> </td> |
| 1287 | </tr> |
| 1288 | <tr> |
| 1289 | <td></td> |
| 1290 | <td>)</td> |
| 1291 | <td></td><td> const</td> |
| 1292 | </tr> |
| 1293 | </table> |
| 1294 | </td> |
| 1295 | <td class="mlabels-right"> |
| 1296 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1297 | </tr> |
| 1298 | </table> |
| 1299 | </div><div class="memdoc"> |
| 1300 | |
| 1301 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ada3f450379ba7b4989344de72a16f1d2">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a674b6d6de1db47959ad36831976ca3aa">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a674b6d6de1db47959ad36831976ca3aa">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a674b6d6de1db47959ad36831976ca3aa">ClWorkloadFactory</a>.</p> |
| 1302 | |
| 1303 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01231">1231</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1304 | |
| 1305 | <p class="reference">Referenced by <a class="el" href="_gather_layer_8cpp_source.xhtml#l00021">GatherLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1306 | <div class="fragment"><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span> {</div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span> }</div></div><!-- fragment --> |
| 1307 | </div> |
| 1308 | </div> |
| 1309 | <a id="a4e779d1b00a9e885497364ebd0dc24ef"></a> |
| 1310 | <h2 class="memtitle"><span class="permalink"><a href="#a4e779d1b00a9e885497364ebd0dc24ef">◆ </a></span>CreateGreater()</h2> |
| 1311 | |
| 1312 | <div class="memitem"> |
| 1313 | <div class="memproto"> |
| 1314 | <table class="mlabels"> |
| 1315 | <tr> |
| 1316 | <td class="mlabels-left"> |
| 1317 | <table class="memname"> |
| 1318 | <tr> |
| 1319 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateGreater </td> |
| 1320 | <td>(</td> |
| 1321 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_greater_queue_descriptor.xhtml">GreaterQueueDescriptor</a> & </td> |
| 1322 | <td class="paramname"><em>descriptor</em>, </td> |
| 1323 | </tr> |
| 1324 | <tr> |
| 1325 | <td class="paramkey"></td> |
| 1326 | <td></td> |
| 1327 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1328 | <td class="paramname"><em>info</em> </td> |
| 1329 | </tr> |
| 1330 | <tr> |
| 1331 | <td></td> |
| 1332 | <td>)</td> |
| 1333 | <td></td><td> const</td> |
| 1334 | </tr> |
| 1335 | </table> |
| 1336 | </td> |
| 1337 | <td class="mlabels-right"> |
| 1338 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1339 | </tr> |
| 1340 | </table> |
| 1341 | </div><div class="memdoc"> |
| 1342 | |
| 1343 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a0b7d11f98c9c17dd23a94666fe35f226">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a0b7d11f98c9c17dd23a94666fe35f226">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a0b7d11f98c9c17dd23a94666fe35f226">ClWorkloadFactory</a>.</p> |
| 1344 | |
| 1345 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01237">1237</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1346 | |
| 1347 | <p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1348 | <div class="fragment"><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span> {</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span> }</div></div><!-- fragment --> |
| 1349 | </div> |
| 1350 | </div> |
| 1351 | <a id="aa83593035de93eb4b6dddb9dc8f5ced6"></a> |
| 1352 | <h2 class="memtitle"><span class="permalink"><a href="#aa83593035de93eb4b6dddb9dc8f5ced6">◆ </a></span>CreateInput()</h2> |
| 1353 | |
| 1354 | <div class="memitem"> |
| 1355 | <div class="memproto"> |
| 1356 | <table class="mlabels"> |
| 1357 | <tr> |
| 1358 | <td class="mlabels-left"> |
| 1359 | <table class="memname"> |
| 1360 | <tr> |
| 1361 | <td class="memname">virtual std::unique_ptr<<a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a>> CreateInput </td> |
| 1362 | <td>(</td> |
| 1363 | <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a2231ac018fe2c465f2d42fef597d67e7">InputQueueDescriptor</a> & </td> |
| 1364 | <td class="paramname"><em>descriptor</em>, </td> |
| 1365 | </tr> |
| 1366 | <tr> |
| 1367 | <td class="paramkey"></td> |
| 1368 | <td></td> |
| 1369 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1370 | <td class="paramname"><em>info</em> </td> |
| 1371 | </tr> |
| 1372 | <tr> |
| 1373 | <td></td> |
| 1374 | <td>)</td> |
| 1375 | <td></td><td> const</td> |
| 1376 | </tr> |
| 1377 | </table> |
| 1378 | </td> |
| 1379 | <td class="mlabels-right"> |
| 1380 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 1381 | </tr> |
| 1382 | </table> |
| 1383 | </div><div class="memdoc"> |
| 1384 | |
| 1385 | <p>Implemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a7b06edab4eef1822445e4201a1262635">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a7b06edab4eef1822445e4201a1262635">NeonWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a7b06edab4eef1822445e4201a1262635">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#a7b06edab4eef1822445e4201a1262635">SampleDynamicWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a3dcc96078130874f1be15a7148868539">WorkloadFactoryBase</a>.</p> |
| 1386 | |
| 1387 | <p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1388 | |
| 1389 | </div> |
| 1390 | </div> |
| 1391 | <a id="a96a3123d8a8290b01582d955cdcd75d5"></a> |
| 1392 | <h2 class="memtitle"><span class="permalink"><a href="#a96a3123d8a8290b01582d955cdcd75d5">◆ </a></span>CreateInstanceNormalization()</h2> |
| 1393 | |
| 1394 | <div class="memitem"> |
| 1395 | <div class="memproto"> |
| 1396 | <table class="mlabels"> |
| 1397 | <tr> |
| 1398 | <td class="mlabels-left"> |
| 1399 | <table class="memname"> |
| 1400 | <tr> |
| 1401 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateInstanceNormalization </td> |
| 1402 | <td>(</td> |
| 1403 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_instance_normalization_queue_descriptor.xhtml">InstanceNormalizationQueueDescriptor</a> & </td> |
| 1404 | <td class="paramname"><em>descriptor</em>, </td> |
| 1405 | </tr> |
| 1406 | <tr> |
| 1407 | <td class="paramkey"></td> |
| 1408 | <td></td> |
| 1409 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1410 | <td class="paramname"><em>info</em> </td> |
| 1411 | </tr> |
| 1412 | <tr> |
| 1413 | <td></td> |
| 1414 | <td>)</td> |
| 1415 | <td></td><td> const</td> |
| 1416 | </tr> |
| 1417 | </table> |
| 1418 | </td> |
| 1419 | <td class="mlabels-right"> |
| 1420 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1421 | </tr> |
| 1422 | </table> |
| 1423 | </div><div class="memdoc"> |
| 1424 | |
| 1425 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a5c2f4f703e07407e70c30cc770d02d6b">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a77110c4dd8fe747ba0d441265f781076">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a5c2f4f703e07407e70c30cc770d02d6b">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a5c2f4f703e07407e70c30cc770d02d6b">ClWorkloadFactory</a>.</p> |
| 1426 | |
| 1427 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01243">1243</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1428 | |
| 1429 | <p class="reference">Referenced by <a class="el" href="_instance_normalization_layer_8cpp_source.xhtml#l00021">InstanceNormalizationLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1430 | <div class="fragment"><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span> {</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01248"></a><span class="lineno"> 1248</span> }</div></div><!-- fragment --> |
| 1431 | </div> |
| 1432 | </div> |
| 1433 | <a id="a3c86f886e36ce943f1ebc241a37f0413"></a> |
| 1434 | <h2 class="memtitle"><span class="permalink"><a href="#a3c86f886e36ce943f1ebc241a37f0413">◆ </a></span>CreateL2Normalization()</h2> |
| 1435 | |
| 1436 | <div class="memitem"> |
| 1437 | <div class="memproto"> |
| 1438 | <table class="mlabels"> |
| 1439 | <tr> |
| 1440 | <td class="mlabels-left"> |
| 1441 | <table class="memname"> |
| 1442 | <tr> |
| 1443 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateL2Normalization </td> |
| 1444 | <td>(</td> |
| 1445 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_l2_normalization_queue_descriptor.xhtml">L2NormalizationQueueDescriptor</a> & </td> |
| 1446 | <td class="paramname"><em>descriptor</em>, </td> |
| 1447 | </tr> |
| 1448 | <tr> |
| 1449 | <td class="paramkey"></td> |
| 1450 | <td></td> |
| 1451 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1452 | <td class="paramname"><em>info</em> </td> |
| 1453 | </tr> |
| 1454 | <tr> |
| 1455 | <td></td> |
| 1456 | <td>)</td> |
| 1457 | <td></td><td> const</td> |
| 1458 | </tr> |
| 1459 | </table> |
| 1460 | </td> |
| 1461 | <td class="mlabels-right"> |
| 1462 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1463 | </tr> |
| 1464 | </table> |
| 1465 | </div><div class="memdoc"> |
| 1466 | |
| 1467 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#af12076c82b1b7f0c48c1ed71df206b4d">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a1c511b4b70bc0b6cccbef2285ba292bc">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a1c511b4b70bc0b6cccbef2285ba292bc">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a1c511b4b70bc0b6cccbef2285ba292bc">ClWorkloadFactory</a>.</p> |
| 1468 | |
| 1469 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01250">1250</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1470 | |
| 1471 | <p class="reference">Referenced by <a class="el" href="_l2_normalization_layer_8cpp_source.xhtml#l00021">L2NormalizationLayer::CreateWorkload()</a>, <a class="el" href="_l2_normalization_test_impl_8cpp_source.xhtml#l00672">L2Normalization2dShapeTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1472 | <div class="fragment"><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span> {</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span> }</div></div><!-- fragment --> |
| 1473 | </div> |
| 1474 | </div> |
| 1475 | <a id="adbdc0563cc7d8b6c1e3c2fb6f13871bf"></a> |
| 1476 | <h2 class="memtitle"><span class="permalink"><a href="#adbdc0563cc7d8b6c1e3c2fb6f13871bf">◆ </a></span>CreateLogSoftmax()</h2> |
| 1477 | |
| 1478 | <div class="memitem"> |
| 1479 | <div class="memproto"> |
| 1480 | <table class="mlabels"> |
| 1481 | <tr> |
| 1482 | <td class="mlabels-left"> |
| 1483 | <table class="memname"> |
| 1484 | <tr> |
| 1485 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateLogSoftmax </td> |
| 1486 | <td>(</td> |
| 1487 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">LogSoftmaxQueueDescriptor</a> & </td> |
| 1488 | <td class="paramname"><em>descriptor</em>, </td> |
| 1489 | </tr> |
| 1490 | <tr> |
| 1491 | <td class="paramkey"></td> |
| 1492 | <td></td> |
| 1493 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1494 | <td class="paramname"><em>info</em> </td> |
| 1495 | </tr> |
| 1496 | <tr> |
| 1497 | <td></td> |
| 1498 | <td>)</td> |
| 1499 | <td></td><td> const</td> |
| 1500 | </tr> |
| 1501 | </table> |
| 1502 | </td> |
| 1503 | <td class="mlabels-right"> |
| 1504 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1505 | </tr> |
| 1506 | </table> |
| 1507 | </div><div class="memdoc"> |
| 1508 | |
| 1509 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a04a3ae3944eb63e7e94c6e9676815864">WorkloadFactoryBase</a>, and <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a95c212cdbcf2af9a845f19467c2f2f2e">RefWorkloadFactory</a>.</p> |
| 1510 | |
| 1511 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01256">1256</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1512 | |
| 1513 | <p class="reference">Referenced by <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00021">LogSoftmaxLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1514 | <div class="fragment"><div class="line"><a name="l01258"></a><span class="lineno"> 1258</span> {</div><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01260"></a><span class="lineno"> 1260</span> }</div></div><!-- fragment --> |
| 1515 | </div> |
| 1516 | </div> |
| 1517 | <a id="ab6bd7aaf685d4e956d780f8655a6f174"></a> |
| 1518 | <h2 class="memtitle"><span class="permalink"><a href="#ab6bd7aaf685d4e956d780f8655a6f174">◆ </a></span>CreateLstm()</h2> |
| 1519 | |
| 1520 | <div class="memitem"> |
| 1521 | <div class="memproto"> |
| 1522 | <table class="mlabels"> |
| 1523 | <tr> |
| 1524 | <td class="mlabels-left"> |
| 1525 | <table class="memname"> |
| 1526 | <tr> |
| 1527 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateLstm </td> |
| 1528 | <td>(</td> |
| 1529 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml">LstmQueueDescriptor</a> & </td> |
| 1530 | <td class="paramname"><em>descriptor</em>, </td> |
| 1531 | </tr> |
| 1532 | <tr> |
| 1533 | <td class="paramkey"></td> |
| 1534 | <td></td> |
| 1535 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1536 | <td class="paramname"><em>info</em> </td> |
| 1537 | </tr> |
| 1538 | <tr> |
| 1539 | <td></td> |
| 1540 | <td>)</td> |
| 1541 | <td></td><td> const</td> |
| 1542 | </tr> |
| 1543 | </table> |
| 1544 | </td> |
| 1545 | <td class="mlabels-right"> |
| 1546 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1547 | </tr> |
| 1548 | </table> |
| 1549 | </div><div class="memdoc"> |
| 1550 | |
| 1551 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#af6cc3669898b498592dc28600aa6f0cd">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a0dce100ea0fc5c44798736a4d879bd4d">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a0dce100ea0fc5c44798736a4d879bd4d">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a0dce100ea0fc5c44798736a4d879bd4d">ClWorkloadFactory</a>.</p> |
| 1552 | |
| 1553 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01262">1262</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1554 | |
| 1555 | <p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1556 | <div class="fragment"><div class="line"><a name="l01264"></a><span class="lineno"> 1264</span> {</div><div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01266"></a><span class="lineno"> 1266</span> }</div></div><!-- fragment --> |
| 1557 | </div> |
| 1558 | </div> |
| 1559 | <a id="a3fe27b35296a25984ab97319fd9a13d6"></a> |
| 1560 | <h2 class="memtitle"><span class="permalink"><a href="#a3fe27b35296a25984ab97319fd9a13d6">◆ </a></span>CreateMaximum()</h2> |
| 1561 | |
| 1562 | <div class="memitem"> |
| 1563 | <div class="memproto"> |
| 1564 | <table class="mlabels"> |
| 1565 | <tr> |
| 1566 | <td class="mlabels-left"> |
| 1567 | <table class="memname"> |
| 1568 | <tr> |
| 1569 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateMaximum </td> |
| 1570 | <td>(</td> |
| 1571 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_maximum_queue_descriptor.xhtml">MaximumQueueDescriptor</a> & </td> |
| 1572 | <td class="paramname"><em>descriptor</em>, </td> |
| 1573 | </tr> |
| 1574 | <tr> |
| 1575 | <td class="paramkey"></td> |
| 1576 | <td></td> |
| 1577 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1578 | <td class="paramname"><em>info</em> </td> |
| 1579 | </tr> |
| 1580 | <tr> |
| 1581 | <td></td> |
| 1582 | <td>)</td> |
| 1583 | <td></td><td> const</td> |
| 1584 | </tr> |
| 1585 | </table> |
| 1586 | </td> |
| 1587 | <td class="mlabels-right"> |
| 1588 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1589 | </tr> |
| 1590 | </table> |
| 1591 | </div><div class="memdoc"> |
| 1592 | |
| 1593 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a9e67be0a653c173ba94e38137dc4bbde">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ae2c6c12059f9cde37ff6bb8f682e9ceb">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#ae2c6c12059f9cde37ff6bb8f682e9ceb">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ae2c6c12059f9cde37ff6bb8f682e9ceb">ClWorkloadFactory</a>.</p> |
| 1594 | |
| 1595 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01268">1268</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1596 | |
| 1597 | <p class="reference">Referenced by <a class="el" href="_maximum_layer_8cpp_source.xhtml#l00021">MaximumLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1598 | <div class="fragment"><div class="line"><a name="l01270"></a><span class="lineno"> 1270</span> {</div><div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01272"></a><span class="lineno"> 1272</span> }</div></div><!-- fragment --> |
| 1599 | </div> |
| 1600 | </div> |
| 1601 | <a id="ac63f8f12f80efbe37b789d1540649470"></a> |
| 1602 | <h2 class="memtitle"><span class="permalink"><a href="#ac63f8f12f80efbe37b789d1540649470">◆ </a></span>CreateMean()</h2> |
| 1603 | |
| 1604 | <div class="memitem"> |
| 1605 | <div class="memproto"> |
| 1606 | <table class="mlabels"> |
| 1607 | <tr> |
| 1608 | <td class="mlabels-left"> |
| 1609 | <table class="memname"> |
| 1610 | <tr> |
| 1611 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateMean </td> |
| 1612 | <td>(</td> |
| 1613 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_mean_queue_descriptor.xhtml">MeanQueueDescriptor</a> & </td> |
| 1614 | <td class="paramname"><em>descriptor</em>, </td> |
| 1615 | </tr> |
| 1616 | <tr> |
| 1617 | <td class="paramkey"></td> |
| 1618 | <td></td> |
| 1619 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1620 | <td class="paramname"><em>Info</em> </td> |
| 1621 | </tr> |
| 1622 | <tr> |
| 1623 | <td></td> |
| 1624 | <td>)</td> |
| 1625 | <td></td><td> const</td> |
| 1626 | </tr> |
| 1627 | </table> |
| 1628 | </td> |
| 1629 | <td class="mlabels-right"> |
| 1630 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1631 | </tr> |
| 1632 | </table> |
| 1633 | </div><div class="memdoc"> |
| 1634 | |
| 1635 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#aabe4842ade5647ac5bbee5e446e49a5c">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aba5032787777bf0074ce70e2c2423d49">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aba5032787777bf0074ce70e2c2423d49">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aba5032787777bf0074ce70e2c2423d49">ClWorkloadFactory</a>.</p> |
| 1636 | |
| 1637 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01274">1274</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1638 | |
| 1639 | <p class="reference">Referenced by <a class="el" href="_mean_layer_8cpp_source.xhtml#l00022">MeanLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1640 | <div class="fragment"><div class="line"><a name="l01276"></a><span class="lineno"> 1276</span> {</div><div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01278"></a><span class="lineno"> 1278</span> }</div></div><!-- fragment --> |
| 1641 | </div> |
| 1642 | </div> |
| 1643 | <a id="a87bf54bcdc865fd5d4f86194b3899d09"></a> |
| 1644 | <h2 class="memtitle"><span class="permalink"><a href="#a87bf54bcdc865fd5d4f86194b3899d09">◆ </a></span>CreateMemCopy()</h2> |
| 1645 | |
| 1646 | <div class="memitem"> |
| 1647 | <div class="memproto"> |
| 1648 | <table class="mlabels"> |
| 1649 | <tr> |
| 1650 | <td class="mlabels-left"> |
| 1651 | <table class="memname"> |
| 1652 | <tr> |
| 1653 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateMemCopy </td> |
| 1654 | <td>(</td> |
| 1655 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_mem_copy_queue_descriptor.xhtml">MemCopyQueueDescriptor</a> & </td> |
| 1656 | <td class="paramname"><em>descriptor</em>, </td> |
| 1657 | </tr> |
| 1658 | <tr> |
| 1659 | <td class="paramkey"></td> |
| 1660 | <td></td> |
| 1661 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1662 | <td class="paramname"><em>info</em> </td> |
| 1663 | </tr> |
| 1664 | <tr> |
| 1665 | <td></td> |
| 1666 | <td>)</td> |
| 1667 | <td></td><td> const</td> |
| 1668 | </tr> |
| 1669 | </table> |
| 1670 | </td> |
| 1671 | <td class="mlabels-right"> |
| 1672 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1673 | </tr> |
| 1674 | </table> |
| 1675 | </div><div class="memdoc"> |
| 1676 | |
| 1677 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a73e9a5c2c3eff38766f03adb98abdd26">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a7cbe2f3dee6fad6a92a384455676fa63">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aa07df85c33d6e3ea4891b5f344df6964">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a7cbe2f3dee6fad6a92a384455676fa63">ClWorkloadFactory</a>.</p> |
| 1678 | |
| 1679 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01280">1280</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1680 | |
| 1681 | <p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1682 | <div class="fragment"><div class="line"><a name="l01282"></a><span class="lineno"> 1282</span> {</div><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01284"></a><span class="lineno"> 1284</span> }</div></div><!-- fragment --> |
| 1683 | </div> |
| 1684 | </div> |
| 1685 | <a id="af0c99a5e2a6e4a67fec8b8c5906a3552"></a> |
| 1686 | <h2 class="memtitle"><span class="permalink"><a href="#af0c99a5e2a6e4a67fec8b8c5906a3552">◆ </a></span>CreateMemImport()</h2> |
| 1687 | |
| 1688 | <div class="memitem"> |
| 1689 | <div class="memproto"> |
| 1690 | <table class="mlabels"> |
| 1691 | <tr> |
| 1692 | <td class="mlabels-left"> |
| 1693 | <table class="memname"> |
| 1694 | <tr> |
| 1695 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateMemImport </td> |
| 1696 | <td>(</td> |
| 1697 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_mem_import_queue_descriptor.xhtml">MemImportQueueDescriptor</a> & </td> |
| 1698 | <td class="paramname"><em>descriptor</em>, </td> |
| 1699 | </tr> |
| 1700 | <tr> |
| 1701 | <td class="paramkey"></td> |
| 1702 | <td></td> |
| 1703 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1704 | <td class="paramname"><em>info</em> </td> |
| 1705 | </tr> |
| 1706 | <tr> |
| 1707 | <td></td> |
| 1708 | <td>)</td> |
| 1709 | <td></td><td> const</td> |
| 1710 | </tr> |
| 1711 | </table> |
| 1712 | </td> |
| 1713 | <td class="mlabels-right"> |
| 1714 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1715 | </tr> |
| 1716 | </table> |
| 1717 | </div><div class="memdoc"> |
| 1718 | |
| 1719 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ad16ff72d909eb48f3dc8e1015c4a5078">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a44d5ee8d1c0bd414bf1dfb60d94a62d8">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a1786f52370ba933427837a2179305773">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a44d5ee8d1c0bd414bf1dfb60d94a62d8">ClWorkloadFactory</a>.</p> |
| 1720 | |
| 1721 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01286">1286</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1722 | |
| 1723 | <p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1724 | <div class="fragment"><div class="line"><a name="l01288"></a><span class="lineno"> 1288</span> {</div><div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01290"></a><span class="lineno"> 1290</span> }</div></div><!-- fragment --> |
| 1725 | </div> |
| 1726 | </div> |
| 1727 | <a id="acc3239cb7dd9434551a70d8534387069"></a> |
| 1728 | <h2 class="memtitle"><span class="permalink"><a href="#acc3239cb7dd9434551a70d8534387069">◆ </a></span>CreateMerge()</h2> |
| 1729 | |
| 1730 | <div class="memitem"> |
| 1731 | <div class="memproto"> |
| 1732 | <table class="mlabels"> |
| 1733 | <tr> |
| 1734 | <td class="mlabels-left"> |
| 1735 | <table class="memname"> |
| 1736 | <tr> |
| 1737 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateMerge </td> |
| 1738 | <td>(</td> |
| 1739 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_merge_queue_descriptor.xhtml">MergeQueueDescriptor</a> & </td> |
| 1740 | <td class="paramname"><em>descriptor</em>, </td> |
| 1741 | </tr> |
| 1742 | <tr> |
| 1743 | <td class="paramkey"></td> |
| 1744 | <td></td> |
| 1745 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1746 | <td class="paramname"><em>info</em> </td> |
| 1747 | </tr> |
| 1748 | <tr> |
| 1749 | <td></td> |
| 1750 | <td>)</td> |
| 1751 | <td></td><td> const</td> |
| 1752 | </tr> |
| 1753 | </table> |
| 1754 | </td> |
| 1755 | <td class="mlabels-right"> |
| 1756 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1757 | </tr> |
| 1758 | </table> |
| 1759 | </div><div class="memdoc"> |
| 1760 | |
| 1761 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ac05fd4710da8c304db555fb5f597d614">WorkloadFactoryBase</a>.</p> |
| 1762 | |
| 1763 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01292">1292</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1764 | |
| 1765 | <p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1766 | <div class="fragment"><div class="line"><a name="l01294"></a><span class="lineno"> 1294</span> {</div><div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01296"></a><span class="lineno"> 1296</span> }</div></div><!-- fragment --> |
| 1767 | </div> |
| 1768 | </div> |
| 1769 | <a id="addb710d76098d55ad2f56117b73a9f48"></a> |
| 1770 | <h2 class="memtitle"><span class="permalink"><a href="#addb710d76098d55ad2f56117b73a9f48">◆ </a></span>CreateMerger()</h2> |
| 1771 | |
| 1772 | <div class="memitem"> |
| 1773 | <div class="memproto"> |
| 1774 | <table class="mlabels"> |
| 1775 | <tr> |
| 1776 | <td class="mlabels-left"> |
| 1777 | <table class="memname"> |
| 1778 | <tr> |
| 1779 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateMerger </td> |
| 1780 | <td>(</td> |
| 1781 | <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a308ba160745ba35e1de8d698d0139eb4">MergerQueueDescriptor</a> & </td> |
| 1782 | <td class="paramname"><em>descriptor</em>, </td> |
| 1783 | </tr> |
| 1784 | <tr> |
| 1785 | <td class="paramkey"></td> |
| 1786 | <td></td> |
| 1787 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1788 | <td class="paramname"><em>info</em> </td> |
| 1789 | </tr> |
| 1790 | <tr> |
| 1791 | <td></td> |
| 1792 | <td>)</td> |
| 1793 | <td></td><td> const</td> |
| 1794 | </tr> |
| 1795 | </table> |
| 1796 | </td> |
| 1797 | <td class="mlabels-right"> |
| 1798 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1799 | </tr> |
| 1800 | </table> |
| 1801 | </div><div class="memdoc"> |
| 1802 | |
| 1803 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ad4b8b34cc736f9d7778c6a2ab4fba25e">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a9f6500bc4fc71e20292c5d229afee4eb">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ad4b8b34cc736f9d7778c6a2ab4fba25e">ClWorkloadFactory</a>.</p> |
| 1804 | |
| 1805 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01298">1298</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1806 | |
| 1807 | <p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1808 | <div class="fragment"><div class="line"><a name="l01300"></a><span class="lineno"> 1300</span> {</div><div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01302"></a><span class="lineno"> 1302</span> }</div></div><!-- fragment --> |
| 1809 | </div> |
| 1810 | </div> |
| 1811 | <a id="a8851ca32bea910cf9376d05527e3dbef"></a> |
| 1812 | <h2 class="memtitle"><span class="permalink"><a href="#a8851ca32bea910cf9376d05527e3dbef">◆ </a></span>CreateMinimum()</h2> |
| 1813 | |
| 1814 | <div class="memitem"> |
| 1815 | <div class="memproto"> |
| 1816 | <table class="mlabels"> |
| 1817 | <tr> |
| 1818 | <td class="mlabels-left"> |
| 1819 | <table class="memname"> |
| 1820 | <tr> |
| 1821 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateMinimum </td> |
| 1822 | <td>(</td> |
| 1823 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_minimum_queue_descriptor.xhtml">MinimumQueueDescriptor</a> & </td> |
| 1824 | <td class="paramname"><em>descriptor</em>, </td> |
| 1825 | </tr> |
| 1826 | <tr> |
| 1827 | <td class="paramkey"></td> |
| 1828 | <td></td> |
| 1829 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1830 | <td class="paramname"><em>info</em> </td> |
| 1831 | </tr> |
| 1832 | <tr> |
| 1833 | <td></td> |
| 1834 | <td>)</td> |
| 1835 | <td></td><td> const</td> |
| 1836 | </tr> |
| 1837 | </table> |
| 1838 | </td> |
| 1839 | <td class="mlabels-right"> |
| 1840 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1841 | </tr> |
| 1842 | </table> |
| 1843 | </div><div class="memdoc"> |
| 1844 | |
| 1845 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1ba2b05e3c2028d4bc3db29fc0edf122">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a39927b6e1faae50d9f804b435430bbf2">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a39927b6e1faae50d9f804b435430bbf2">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a39927b6e1faae50d9f804b435430bbf2">ClWorkloadFactory</a>.</p> |
| 1846 | |
| 1847 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01304">1304</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1848 | |
| 1849 | <p class="reference">Referenced by <a class="el" href="_minimum_layer_8cpp_source.xhtml#l00022">MinimumLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1850 | <div class="fragment"><div class="line"><a name="l01306"></a><span class="lineno"> 1306</span> {</div><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span> }</div></div><!-- fragment --> |
| 1851 | </div> |
| 1852 | </div> |
| 1853 | <a id="a756955d7436dd8f6e63cdf6367eb1694"></a> |
| 1854 | <h2 class="memtitle"><span class="permalink"><a href="#a756955d7436dd8f6e63cdf6367eb1694">◆ </a></span>CreateMultiplication()</h2> |
| 1855 | |
| 1856 | <div class="memitem"> |
| 1857 | <div class="memproto"> |
| 1858 | <table class="mlabels"> |
| 1859 | <tr> |
| 1860 | <td class="mlabels-left"> |
| 1861 | <table class="memname"> |
| 1862 | <tr> |
| 1863 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateMultiplication </td> |
| 1864 | <td>(</td> |
| 1865 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">MultiplicationQueueDescriptor</a> & </td> |
| 1866 | <td class="paramname"><em>descriptor</em>, </td> |
| 1867 | </tr> |
| 1868 | <tr> |
| 1869 | <td class="paramkey"></td> |
| 1870 | <td></td> |
| 1871 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1872 | <td class="paramname"><em>info</em> </td> |
| 1873 | </tr> |
| 1874 | <tr> |
| 1875 | <td></td> |
| 1876 | <td>)</td> |
| 1877 | <td></td><td> const</td> |
| 1878 | </tr> |
| 1879 | </table> |
| 1880 | </td> |
| 1881 | <td class="mlabels-right"> |
| 1882 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1883 | </tr> |
| 1884 | </table> |
| 1885 | </div><div class="memdoc"> |
| 1886 | |
| 1887 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a848fc4ff47d5e9c68d2e26f6523b4e58">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a247e81465a607359f63756d13c417e70">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#af7ba09a42932a341c966f1ba1f596861">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a247e81465a607359f63756d13c417e70">ClWorkloadFactory</a>.</p> |
| 1888 | |
| 1889 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01310">1310</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1890 | |
| 1891 | <p class="reference">Referenced by <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00399">CompareMultiplicationTest()</a>, <a class="el" href="_multiplication_layer_8cpp_source.xhtml#l00022">MultiplicationLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1892 | <div class="fragment"><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span> {</div><div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01314"></a><span class="lineno"> 1314</span> }</div></div><!-- fragment --> |
| 1893 | </div> |
| 1894 | </div> |
| 1895 | <a id="a185c215631e1b01a6d41232410de4c46"></a> |
| 1896 | <h2 class="memtitle"><span class="permalink"><a href="#a185c215631e1b01a6d41232410de4c46">◆ </a></span>CreateNormalization()</h2> |
| 1897 | |
| 1898 | <div class="memitem"> |
| 1899 | <div class="memproto"> |
| 1900 | <table class="mlabels"> |
| 1901 | <tr> |
| 1902 | <td class="mlabels-left"> |
| 1903 | <table class="memname"> |
| 1904 | <tr> |
| 1905 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateNormalization </td> |
| 1906 | <td>(</td> |
| 1907 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_normalization_queue_descriptor.xhtml">NormalizationQueueDescriptor</a> & </td> |
| 1908 | <td class="paramname"><em>descriptor</em>, </td> |
| 1909 | </tr> |
| 1910 | <tr> |
| 1911 | <td class="paramkey"></td> |
| 1912 | <td></td> |
| 1913 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1914 | <td class="paramname"><em>info</em> </td> |
| 1915 | </tr> |
| 1916 | <tr> |
| 1917 | <td></td> |
| 1918 | <td>)</td> |
| 1919 | <td></td><td> const</td> |
| 1920 | </tr> |
| 1921 | </table> |
| 1922 | </td> |
| 1923 | <td class="mlabels-right"> |
| 1924 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1925 | </tr> |
| 1926 | </table> |
| 1927 | </div><div class="memdoc"> |
| 1928 | |
| 1929 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a6df587611b4c46b591527f3d594f4a11">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aca46fe4cdc107d912d822a7618d4d2db">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3334b1fbbf87863e3b40a6194b9e0199">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aca46fe4cdc107d912d822a7618d4d2db">ClWorkloadFactory</a>.</p> |
| 1930 | |
| 1931 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01316">1316</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1932 | |
| 1933 | <p class="reference">Referenced by <a class="el" href="_normalization_layer_8cpp_source.xhtml#l00021">NormalizationLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1934 | <div class="fragment"><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span> {</div><div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span> }</div></div><!-- fragment --> |
| 1935 | </div> |
| 1936 | </div> |
| 1937 | <a id="adb279112eb265e5531c4ac2194b6c898"></a> |
| 1938 | <h2 class="memtitle"><span class="permalink"><a href="#adb279112eb265e5531c4ac2194b6c898">◆ </a></span>CreateOutput()</h2> |
| 1939 | |
| 1940 | <div class="memitem"> |
| 1941 | <div class="memproto"> |
| 1942 | <table class="mlabels"> |
| 1943 | <tr> |
| 1944 | <td class="mlabels-left"> |
| 1945 | <table class="memname"> |
| 1946 | <tr> |
| 1947 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateOutput </td> |
| 1948 | <td>(</td> |
| 1949 | <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a37a1a6b381ccc76df203fee023234996">OutputQueueDescriptor</a> & </td> |
| 1950 | <td class="paramname"><em>descriptor</em>, </td> |
| 1951 | </tr> |
| 1952 | <tr> |
| 1953 | <td class="paramkey"></td> |
| 1954 | <td></td> |
| 1955 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1956 | <td class="paramname"><em>info</em> </td> |
| 1957 | </tr> |
| 1958 | <tr> |
| 1959 | <td></td> |
| 1960 | <td>)</td> |
| 1961 | <td></td><td> const</td> |
| 1962 | </tr> |
| 1963 | </table> |
| 1964 | </td> |
| 1965 | <td class="mlabels-right"> |
| 1966 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 1967 | </tr> |
| 1968 | </table> |
| 1969 | </div><div class="memdoc"> |
| 1970 | |
| 1971 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#afd952ccd68a1b2231b77db1f9131a61b">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a5d463f116733f47ce2bab08e430d1ba2">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a5d463f116733f47ce2bab08e430d1ba2">NeonWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a5d463f116733f47ce2bab08e430d1ba2">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#a5d463f116733f47ce2bab08e430d1ba2">SampleDynamicWorkloadFactory</a>.</p> |
| 1972 | |
| 1973 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01322">1322</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 1974 | |
| 1975 | <p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 1976 | <div class="fragment"><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span> {</div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span> }</div></div><!-- fragment --> |
| 1977 | </div> |
| 1978 | </div> |
| 1979 | <a id="ab0c956e4a638d0a2777ecb71953f7e27"></a> |
| 1980 | <h2 class="memtitle"><span class="permalink"><a href="#ab0c956e4a638d0a2777ecb71953f7e27">◆ </a></span>CreatePad()</h2> |
| 1981 | |
| 1982 | <div class="memitem"> |
| 1983 | <div class="memproto"> |
| 1984 | <table class="mlabels"> |
| 1985 | <tr> |
| 1986 | <td class="mlabels-left"> |
| 1987 | <table class="memname"> |
| 1988 | <tr> |
| 1989 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreatePad </td> |
| 1990 | <td>(</td> |
| 1991 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_pad_queue_descriptor.xhtml">PadQueueDescriptor</a> & </td> |
| 1992 | <td class="paramname"><em>descriptor</em>, </td> |
| 1993 | </tr> |
| 1994 | <tr> |
| 1995 | <td class="paramkey"></td> |
| 1996 | <td></td> |
| 1997 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 1998 | <td class="paramname"><em>Info</em> </td> |
| 1999 | </tr> |
| 2000 | <tr> |
| 2001 | <td></td> |
| 2002 | <td>)</td> |
| 2003 | <td></td><td> const</td> |
| 2004 | </tr> |
| 2005 | </table> |
| 2006 | </td> |
| 2007 | <td class="mlabels-right"> |
| 2008 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2009 | </tr> |
| 2010 | </table> |
| 2011 | </div><div class="memdoc"> |
| 2012 | |
| 2013 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a06a69eab86af31e0daa17c99b9038bf1">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a8fb2b01fe17e49e997fe59d86e4d5c9a">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a8fb2b01fe17e49e997fe59d86e4d5c9a">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a8fb2b01fe17e49e997fe59d86e4d5c9a">ClWorkloadFactory</a>.</p> |
| 2014 | |
| 2015 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01328">1328</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2016 | |
| 2017 | <p class="reference">Referenced by <a class="el" href="_pad_layer_8cpp_source.xhtml#l00022">PadLayer::CreateWorkload()</a>, <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00020">Pad2dTestCommon()</a>, <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00093">Pad3dTestCommon()</a>, <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00177">Pad4dTestCommon()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2018 | <div class="fragment"><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span> {</div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span> }</div></div><!-- fragment --> |
| 2019 | </div> |
| 2020 | </div> |
| 2021 | <a id="a2dcee0bc4bbae1f745324aed0f841a0a"></a> |
| 2022 | <h2 class="memtitle"><span class="permalink"><a href="#a2dcee0bc4bbae1f745324aed0f841a0a">◆ </a></span>CreatePermute()</h2> |
| 2023 | |
| 2024 | <div class="memitem"> |
| 2025 | <div class="memproto"> |
| 2026 | <table class="mlabels"> |
| 2027 | <tr> |
| 2028 | <td class="mlabels-left"> |
| 2029 | <table class="memname"> |
| 2030 | <tr> |
| 2031 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreatePermute </td> |
| 2032 | <td>(</td> |
| 2033 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_permute_queue_descriptor.xhtml">PermuteQueueDescriptor</a> & </td> |
| 2034 | <td class="paramname"><em>descriptor</em>, </td> |
| 2035 | </tr> |
| 2036 | <tr> |
| 2037 | <td class="paramkey"></td> |
| 2038 | <td></td> |
| 2039 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2040 | <td class="paramname"><em>info</em> </td> |
| 2041 | </tr> |
| 2042 | <tr> |
| 2043 | <td></td> |
| 2044 | <td>)</td> |
| 2045 | <td></td><td> const</td> |
| 2046 | </tr> |
| 2047 | </table> |
| 2048 | </td> |
| 2049 | <td class="mlabels-right"> |
| 2050 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2051 | </tr> |
| 2052 | </table> |
| 2053 | </div><div class="memdoc"> |
| 2054 | |
| 2055 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a32983845590ec2dc9e644491793fd557">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a7b6ac4b2de1550174ad661fa76ec3d2d">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a59399d21babdc3a17df004dfa64617ea">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a7b6ac4b2de1550174ad661fa76ec3d2d">ClWorkloadFactory</a>.</p> |
| 2056 | |
| 2057 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01334">1334</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2058 | |
| 2059 | <p class="reference">Referenced by <a class="el" href="_permute_layer_8cpp_source.xhtml#l00025">PermuteLayer::CreateWorkload()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00121">PermuteTensorData()</a>, <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00019">SimplePermuteTestImpl()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2060 | <div class="fragment"><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span> {</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span> }</div></div><!-- fragment --> |
| 2061 | </div> |
| 2062 | </div> |
| 2063 | <a id="a6e95afd9a55700cbf6f9e8db8089f2f2"></a> |
| 2064 | <h2 class="memtitle"><span class="permalink"><a href="#a6e95afd9a55700cbf6f9e8db8089f2f2">◆ </a></span>CreatePooling2d()</h2> |
| 2065 | |
| 2066 | <div class="memitem"> |
| 2067 | <div class="memproto"> |
| 2068 | <table class="mlabels"> |
| 2069 | <tr> |
| 2070 | <td class="mlabels-left"> |
| 2071 | <table class="memname"> |
| 2072 | <tr> |
| 2073 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreatePooling2d </td> |
| 2074 | <td>(</td> |
| 2075 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_pooling2d_queue_descriptor.xhtml">Pooling2dQueueDescriptor</a> & </td> |
| 2076 | <td class="paramname"><em>descriptor</em>, </td> |
| 2077 | </tr> |
| 2078 | <tr> |
| 2079 | <td class="paramkey"></td> |
| 2080 | <td></td> |
| 2081 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2082 | <td class="paramname"><em>info</em> </td> |
| 2083 | </tr> |
| 2084 | <tr> |
| 2085 | <td></td> |
| 2086 | <td>)</td> |
| 2087 | <td></td><td> const</td> |
| 2088 | </tr> |
| 2089 | </table> |
| 2090 | </td> |
| 2091 | <td class="mlabels-right"> |
| 2092 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2093 | </tr> |
| 2094 | </table> |
| 2095 | </div><div class="memdoc"> |
| 2096 | |
| 2097 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#abf1f324933ada657d13faf8d1d32a907">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ae22c3b8013c1ee7a5459016c0595d444">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a6e05a05ea7ea2c384c94d6568f032614">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ae22c3b8013c1ee7a5459016c0595d444">ClWorkloadFactory</a>.</p> |
| 2098 | |
| 2099 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01340">1340</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2100 | |
| 2101 | <p class="reference">Referenced by <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00454">AdditionAfterMaxPoolTest()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.xhtml#l00027">Pooling2dLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2102 | <div class="fragment"><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span> {</div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span> }</div></div><!-- fragment --> |
| 2103 | </div> |
| 2104 | </div> |
| 2105 | <a id="a012306477c38a533edd29c422227cd8c"></a> |
| 2106 | <h2 class="memtitle"><span class="permalink"><a href="#a012306477c38a533edd29c422227cd8c">◆ </a></span>CreatePreCompiled()</h2> |
| 2107 | |
| 2108 | <div class="memitem"> |
| 2109 | <div class="memproto"> |
| 2110 | <table class="mlabels"> |
| 2111 | <tr> |
| 2112 | <td class="mlabels-left"> |
| 2113 | <table class="memname"> |
| 2114 | <tr> |
| 2115 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreatePreCompiled </td> |
| 2116 | <td>(</td> |
| 2117 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_pre_compiled_queue_descriptor.xhtml">PreCompiledQueueDescriptor</a> & </td> |
| 2118 | <td class="paramname"><em>descriptor</em>, </td> |
| 2119 | </tr> |
| 2120 | <tr> |
| 2121 | <td class="paramkey"></td> |
| 2122 | <td></td> |
| 2123 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2124 | <td class="paramname"><em>info</em> </td> |
| 2125 | </tr> |
| 2126 | <tr> |
| 2127 | <td></td> |
| 2128 | <td>)</td> |
| 2129 | <td></td><td> const</td> |
| 2130 | </tr> |
| 2131 | </table> |
| 2132 | </td> |
| 2133 | <td class="mlabels-right"> |
| 2134 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2135 | </tr> |
| 2136 | </table> |
| 2137 | </div><div class="memdoc"> |
| 2138 | |
| 2139 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a21a5aef5f1850d8b5f797d97632409b8">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a3f21c47a41cbbcfe7d74becd76766c80">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3f21c47a41cbbcfe7d74becd76766c80">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a3f21c47a41cbbcfe7d74becd76766c80">ClWorkloadFactory</a>.</p> |
| 2140 | |
| 2141 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01346">1346</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2142 | |
| 2143 | <p class="reference">Referenced by <a class="el" href="_pre_compiled_layer_8cpp_source.xhtml#l00031">PreCompiledLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2144 | <div class="fragment"><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span> {</div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01350"></a><span class="lineno"> 1350</span> }</div></div><!-- fragment --> |
| 2145 | </div> |
| 2146 | </div> |
| 2147 | <a id="adf4a93f605e4e7dad6aee0b4d2159171"></a> |
| 2148 | <h2 class="memtitle"><span class="permalink"><a href="#adf4a93f605e4e7dad6aee0b4d2159171">◆ </a></span>CreatePrelu()</h2> |
| 2149 | |
| 2150 | <div class="memitem"> |
| 2151 | <div class="memproto"> |
| 2152 | <table class="mlabels"> |
| 2153 | <tr> |
| 2154 | <td class="mlabels-left"> |
| 2155 | <table class="memname"> |
| 2156 | <tr> |
| 2157 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreatePrelu </td> |
| 2158 | <td>(</td> |
| 2159 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_prelu_queue_descriptor.xhtml">PreluQueueDescriptor</a> & </td> |
| 2160 | <td class="paramname"><em>descriptor</em>, </td> |
| 2161 | </tr> |
| 2162 | <tr> |
| 2163 | <td class="paramkey"></td> |
| 2164 | <td></td> |
| 2165 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2166 | <td class="paramname"><em>info</em> </td> |
| 2167 | </tr> |
| 2168 | <tr> |
| 2169 | <td></td> |
| 2170 | <td>)</td> |
| 2171 | <td></td><td> const</td> |
| 2172 | </tr> |
| 2173 | </table> |
| 2174 | </td> |
| 2175 | <td class="mlabels-right"> |
| 2176 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2177 | </tr> |
| 2178 | </table> |
| 2179 | </div><div class="memdoc"> |
| 2180 | |
| 2181 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a8040319bef721ad05a9fdf75060aaafe">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ac4739f640f68405d2e5a4e4b716c3c59">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aca8d797b1e48d693de73e868b3aa41ec">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ac4739f640f68405d2e5a4e4b716c3c59">ClWorkloadFactory</a>.</p> |
| 2182 | |
| 2183 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01352">1352</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2184 | |
| 2185 | <p class="reference">Referenced by <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00021">PreluLayer::CreateWorkload()</a>, <a class="el" href="_prelu_test_impl_8hpp_source.xhtml#l00023">PreluTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2186 | <div class="fragment"><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span> {</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span> }</div></div><!-- fragment --> |
| 2187 | </div> |
| 2188 | </div> |
| 2189 | <a id="a1942c254ba89d17803e5a636aa927d90"></a> |
| 2190 | <h2 class="memtitle"><span class="permalink"><a href="#a1942c254ba89d17803e5a636aa927d90">◆ </a></span>CreateQuantize()</h2> |
| 2191 | |
| 2192 | <div class="memitem"> |
| 2193 | <div class="memproto"> |
| 2194 | <table class="mlabels"> |
| 2195 | <tr> |
| 2196 | <td class="mlabels-left"> |
| 2197 | <table class="memname"> |
| 2198 | <tr> |
| 2199 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateQuantize </td> |
| 2200 | <td>(</td> |
| 2201 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_quantize_queue_descriptor.xhtml">QuantizeQueueDescriptor</a> & </td> |
| 2202 | <td class="paramname"><em>descriptor</em>, </td> |
| 2203 | </tr> |
| 2204 | <tr> |
| 2205 | <td class="paramkey"></td> |
| 2206 | <td></td> |
| 2207 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2208 | <td class="paramname"><em>Info</em> </td> |
| 2209 | </tr> |
| 2210 | <tr> |
| 2211 | <td></td> |
| 2212 | <td>)</td> |
| 2213 | <td></td><td> const</td> |
| 2214 | </tr> |
| 2215 | </table> |
| 2216 | </td> |
| 2217 | <td class="mlabels-right"> |
| 2218 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2219 | </tr> |
| 2220 | </table> |
| 2221 | </div><div class="memdoc"> |
| 2222 | |
| 2223 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ae51a441630e32e5a850d3d639f0e7847">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a1782959d8ba043acbc72d6a06c00a7f4">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a6a58a15e291291722dc9a4517d2974eb">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a1782959d8ba043acbc72d6a06c00a7f4">ClWorkloadFactory</a>.</p> |
| 2224 | |
| 2225 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01358">1358</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2226 | |
| 2227 | <p class="reference">Referenced by <a class="el" href="_quantize_layer_8cpp_source.xhtml#l00019">QuantizeLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2228 | <div class="fragment"><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span> {</div><div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span> }</div></div><!-- fragment --> |
| 2229 | </div> |
| 2230 | </div> |
| 2231 | <a id="ab5ceda49651dcd53fb7eb05658b5a0cb"></a> |
| 2232 | <h2 class="memtitle"><span class="permalink"><a href="#ab5ceda49651dcd53fb7eb05658b5a0cb">◆ </a></span>CreateQuantizedLstm()</h2> |
| 2233 | |
| 2234 | <div class="memitem"> |
| 2235 | <div class="memproto"> |
| 2236 | <table class="mlabels"> |
| 2237 | <tr> |
| 2238 | <td class="mlabels-left"> |
| 2239 | <table class="memname"> |
| 2240 | <tr> |
| 2241 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateQuantizedLstm </td> |
| 2242 | <td>(</td> |
| 2243 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">QuantizedLstmQueueDescriptor</a> & </td> |
| 2244 | <td class="paramname"><em>descriptor</em>, </td> |
| 2245 | </tr> |
| 2246 | <tr> |
| 2247 | <td class="paramkey"></td> |
| 2248 | <td></td> |
| 2249 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2250 | <td class="paramname"><em>info</em> </td> |
| 2251 | </tr> |
| 2252 | <tr> |
| 2253 | <td></td> |
| 2254 | <td>)</td> |
| 2255 | <td></td><td> const</td> |
| 2256 | </tr> |
| 2257 | </table> |
| 2258 | </td> |
| 2259 | <td class="mlabels-right"> |
| 2260 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2261 | </tr> |
| 2262 | </table> |
| 2263 | </div><div class="memdoc"> |
| 2264 | |
| 2265 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#abd228c95f2ec95cbb2abcaa0dbacc018">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a166569e6ac31c22484612c77690c3eff">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a166569e6ac31c22484612c77690c3eff">ClWorkloadFactory</a>.</p> |
| 2266 | |
| 2267 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01364">1364</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2268 | |
| 2269 | <p class="reference">Referenced by <a class="el" href="_quantized_lstm_layer_8cpp_source.xhtml#l00022">QuantizedLstmLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2270 | <div class="fragment"><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span> {</div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span> }</div></div><!-- fragment --> |
| 2271 | </div> |
| 2272 | </div> |
| 2273 | <a id="a4f9d9c79a100a0d057027d8524373962"></a> |
| 2274 | <h2 class="memtitle"><span class="permalink"><a href="#a4f9d9c79a100a0d057027d8524373962">◆ </a></span>CreateReshape()</h2> |
| 2275 | |
| 2276 | <div class="memitem"> |
| 2277 | <div class="memproto"> |
| 2278 | <table class="mlabels"> |
| 2279 | <tr> |
| 2280 | <td class="mlabels-left"> |
| 2281 | <table class="memname"> |
| 2282 | <tr> |
| 2283 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateReshape </td> |
| 2284 | <td>(</td> |
| 2285 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_reshape_queue_descriptor.xhtml">ReshapeQueueDescriptor</a> & </td> |
| 2286 | <td class="paramname"><em>descriptor</em>, </td> |
| 2287 | </tr> |
| 2288 | <tr> |
| 2289 | <td class="paramkey"></td> |
| 2290 | <td></td> |
| 2291 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2292 | <td class="paramname"><em>info</em> </td> |
| 2293 | </tr> |
| 2294 | <tr> |
| 2295 | <td></td> |
| 2296 | <td>)</td> |
| 2297 | <td></td><td> const</td> |
| 2298 | </tr> |
| 2299 | </table> |
| 2300 | </td> |
| 2301 | <td class="mlabels-right"> |
| 2302 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2303 | </tr> |
| 2304 | </table> |
| 2305 | </div><div class="memdoc"> |
| 2306 | |
| 2307 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a655697a3bf827352acadc5f1dd3a8a34">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a85d2e898648c795f462a15f5c03a67ac">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a85d2e898648c795f462a15f5c03a67ac">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a85d2e898648c795f462a15f5c03a67ac">ClWorkloadFactory</a>.</p> |
| 2308 | |
| 2309 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01370">1370</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2310 | |
| 2311 | <p class="reference">Referenced by <a class="el" href="_reshape_layer_8cpp_source.xhtml#l00022">ReshapeLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2312 | <div class="fragment"><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span> {</div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span> }</div></div><!-- fragment --> |
| 2313 | </div> |
| 2314 | </div> |
| 2315 | <a id="a84377c94a59c589dbf419f838c4b9119"></a> |
| 2316 | <h2 class="memtitle"><span class="permalink"><a href="#a84377c94a59c589dbf419f838c4b9119">◆ </a></span>CreateResize()</h2> |
| 2317 | |
| 2318 | <div class="memitem"> |
| 2319 | <div class="memproto"> |
| 2320 | <table class="mlabels"> |
| 2321 | <tr> |
| 2322 | <td class="mlabels-left"> |
| 2323 | <table class="memname"> |
| 2324 | <tr> |
| 2325 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateResize </td> |
| 2326 | <td>(</td> |
| 2327 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_resize_queue_descriptor.xhtml">ResizeQueueDescriptor</a> & </td> |
| 2328 | <td class="paramname"><em>descriptor</em>, </td> |
| 2329 | </tr> |
| 2330 | <tr> |
| 2331 | <td class="paramkey"></td> |
| 2332 | <td></td> |
| 2333 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2334 | <td class="paramname"><em>info</em> </td> |
| 2335 | </tr> |
| 2336 | <tr> |
| 2337 | <td></td> |
| 2338 | <td>)</td> |
| 2339 | <td></td><td> const</td> |
| 2340 | </tr> |
| 2341 | </table> |
| 2342 | </td> |
| 2343 | <td class="mlabels-right"> |
| 2344 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2345 | </tr> |
| 2346 | </table> |
| 2347 | </div><div class="memdoc"> |
| 2348 | |
| 2349 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#aa9390326e8445e71c5dee9858084a1b8">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a3f15b1b391dd86de376ce541eadca3fa">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3f15b1b391dd86de376ce541eadca3fa">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a3f15b1b391dd86de376ce541eadca3fa">ClWorkloadFactory</a>.</p> |
| 2350 | |
| 2351 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01382">1382</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2352 | |
| 2353 | <p class="reference">Referenced by <a class="el" href="_resize_layer_8cpp_source.xhtml#l00026">ResizeLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2354 | <div class="fragment"><div class="line"><a name="l01384"></a><span class="lineno"> 1384</span> {</div><div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01386"></a><span class="lineno"> 1386</span> }</div></div><!-- fragment --> |
| 2355 | </div> |
| 2356 | </div> |
| 2357 | <a id="a7eb321c47cd90d2cc3823e74596f1239"></a> |
| 2358 | <h2 class="memtitle"><span class="permalink"><a href="#a7eb321c47cd90d2cc3823e74596f1239">◆ </a></span>CreateResizeBilinear()</h2> |
| 2359 | |
| 2360 | <div class="memitem"> |
| 2361 | <div class="memproto"> |
| 2362 | <table class="mlabels"> |
| 2363 | <tr> |
| 2364 | <td class="mlabels-left"> |
| 2365 | <table class="memname"> |
| 2366 | <tr> |
| 2367 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateResizeBilinear </td> |
| 2368 | <td>(</td> |
| 2369 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_resize_bilinear_queue_descriptor.xhtml">ResizeBilinearQueueDescriptor</a> & </td> |
| 2370 | <td class="paramname"><em>descriptor</em>, </td> |
| 2371 | </tr> |
| 2372 | <tr> |
| 2373 | <td class="paramkey"></td> |
| 2374 | <td></td> |
| 2375 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2376 | <td class="paramname"><em>info</em> </td> |
| 2377 | </tr> |
| 2378 | <tr> |
| 2379 | <td></td> |
| 2380 | <td>)</td> |
| 2381 | <td></td><td> const</td> |
| 2382 | </tr> |
| 2383 | </table> |
| 2384 | </td> |
| 2385 | <td class="mlabels-right"> |
| 2386 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2387 | </tr> |
| 2388 | </table> |
| 2389 | </div><div class="memdoc"> |
| 2390 | |
| 2391 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ae0895b3c5782c6094ce839e07cc17d58">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a12b5d302d3707fbbc0275a4683c59349">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ae0895b3c5782c6094ce839e07cc17d58">ClWorkloadFactory</a>.</p> |
| 2392 | |
| 2393 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01376">1376</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2394 | |
| 2395 | <p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2396 | <div class="fragment"><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span> {</div><div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span> }</div></div><!-- fragment --> |
| 2397 | </div> |
| 2398 | </div> |
| 2399 | <a id="a2459b9d4f72d78eab86f9ec09384c491"></a> |
| 2400 | <h2 class="memtitle"><span class="permalink"><a href="#a2459b9d4f72d78eab86f9ec09384c491">◆ </a></span>CreateRsqrt()</h2> |
| 2401 | |
| 2402 | <div class="memitem"> |
| 2403 | <div class="memproto"> |
| 2404 | <table class="mlabels"> |
| 2405 | <tr> |
| 2406 | <td class="mlabels-left"> |
| 2407 | <table class="memname"> |
| 2408 | <tr> |
| 2409 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateRsqrt </td> |
| 2410 | <td>(</td> |
| 2411 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_rsqrt_queue_descriptor.xhtml">RsqrtQueueDescriptor</a> & </td> |
| 2412 | <td class="paramname"><em>descriptor</em>, </td> |
| 2413 | </tr> |
| 2414 | <tr> |
| 2415 | <td class="paramkey"></td> |
| 2416 | <td></td> |
| 2417 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2418 | <td class="paramname"><em>info</em> </td> |
| 2419 | </tr> |
| 2420 | <tr> |
| 2421 | <td></td> |
| 2422 | <td>)</td> |
| 2423 | <td></td><td> const</td> |
| 2424 | </tr> |
| 2425 | </table> |
| 2426 | </td> |
| 2427 | <td class="mlabels-right"> |
| 2428 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2429 | </tr> |
| 2430 | </table> |
| 2431 | </div><div class="memdoc"> |
| 2432 | |
| 2433 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a5d0b48104607726b76e2968da5a4feec">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#afddaf1bce21f092a34d877cffac411a3">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#afddaf1bce21f092a34d877cffac411a3">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#afddaf1bce21f092a34d877cffac411a3">ClWorkloadFactory</a>.</p> |
| 2434 | |
| 2435 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01388">1388</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2436 | |
| 2437 | <p class="reference">Referenced by <a class="el" href="_rsqrt_layer_8cpp_source.xhtml#l00022">RsqrtLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2438 | <div class="fragment"><div class="line"><a name="l01390"></a><span class="lineno"> 1390</span> {</div><div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01392"></a><span class="lineno"> 1392</span> }</div></div><!-- fragment --> |
| 2439 | </div> |
| 2440 | </div> |
| 2441 | <a id="a86658e2fc02a32acd4de20ef92242347"></a> |
| 2442 | <h2 class="memtitle"><span class="permalink"><a href="#a86658e2fc02a32acd4de20ef92242347">◆ </a></span>CreateSlice()</h2> |
| 2443 | |
| 2444 | <div class="memitem"> |
| 2445 | <div class="memproto"> |
| 2446 | <table class="mlabels"> |
| 2447 | <tr> |
| 2448 | <td class="mlabels-left"> |
| 2449 | <table class="memname"> |
| 2450 | <tr> |
| 2451 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateSlice </td> |
| 2452 | <td>(</td> |
| 2453 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_slice_queue_descriptor.xhtml">SliceQueueDescriptor</a> & </td> |
| 2454 | <td class="paramname"><em>descriptor</em>, </td> |
| 2455 | </tr> |
| 2456 | <tr> |
| 2457 | <td class="paramkey"></td> |
| 2458 | <td></td> |
| 2459 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2460 | <td class="paramname"><em>info</em> </td> |
| 2461 | </tr> |
| 2462 | <tr> |
| 2463 | <td></td> |
| 2464 | <td>)</td> |
| 2465 | <td></td><td> const</td> |
| 2466 | </tr> |
| 2467 | </table> |
| 2468 | </td> |
| 2469 | <td class="mlabels-right"> |
| 2470 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2471 | </tr> |
| 2472 | </table> |
| 2473 | </div><div class="memdoc"> |
| 2474 | |
| 2475 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a67ee4f8373684cb67f033976fc563081">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#abda2c9b7c5fe4ca092d2224ba9679a06">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#abda2c9b7c5fe4ca092d2224ba9679a06">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#abda2c9b7c5fe4ca092d2224ba9679a06">ClWorkloadFactory</a>.</p> |
| 2476 | |
| 2477 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01394">1394</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2478 | |
| 2479 | <p class="reference">Referenced by <a class="el" href="_slice_layer_8cpp_source.xhtml#l00026">SliceLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2480 | <div class="fragment"><div class="line"><a name="l01396"></a><span class="lineno"> 1396</span> {</div><div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01398"></a><span class="lineno"> 1398</span> }</div></div><!-- fragment --> |
| 2481 | </div> |
| 2482 | </div> |
| 2483 | <a id="a8a843d44d2e81df87e414df3b3e688de"></a> |
| 2484 | <h2 class="memtitle"><span class="permalink"><a href="#a8a843d44d2e81df87e414df3b3e688de">◆ </a></span>CreateSoftmax()</h2> |
| 2485 | |
| 2486 | <div class="memitem"> |
| 2487 | <div class="memproto"> |
| 2488 | <table class="mlabels"> |
| 2489 | <tr> |
| 2490 | <td class="mlabels-left"> |
| 2491 | <table class="memname"> |
| 2492 | <tr> |
| 2493 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateSoftmax </td> |
| 2494 | <td>(</td> |
| 2495 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_softmax_queue_descriptor.xhtml">SoftmaxQueueDescriptor</a> & </td> |
| 2496 | <td class="paramname"><em>descriptor</em>, </td> |
| 2497 | </tr> |
| 2498 | <tr> |
| 2499 | <td class="paramkey"></td> |
| 2500 | <td></td> |
| 2501 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2502 | <td class="paramname"><em>info</em> </td> |
| 2503 | </tr> |
| 2504 | <tr> |
| 2505 | <td></td> |
| 2506 | <td>)</td> |
| 2507 | <td></td><td> const</td> |
| 2508 | </tr> |
| 2509 | </table> |
| 2510 | </td> |
| 2511 | <td class="mlabels-right"> |
| 2512 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2513 | </tr> |
| 2514 | </table> |
| 2515 | </div><div class="memdoc"> |
| 2516 | |
| 2517 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a6d49c282026484eb1c6e56f56f35348e">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a457c416483289cc7c8a8511a67d95816">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a457c416483289cc7c8a8511a67d95816">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a457c416483289cc7c8a8511a67d95816">ClWorkloadFactory</a>.</p> |
| 2518 | |
| 2519 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01400">1400</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2520 | |
| 2521 | <p class="reference">Referenced by <a class="el" href="_softmax_layer_8cpp_source.xhtml#l00021">SoftmaxLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2522 | <div class="fragment"><div class="line"><a name="l01402"></a><span class="lineno"> 1402</span> {</div><div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01404"></a><span class="lineno"> 1404</span> }</div></div><!-- fragment --> |
| 2523 | </div> |
| 2524 | </div> |
| 2525 | <a id="a44e7aebc021646becc3f32722e22553e"></a> |
| 2526 | <h2 class="memtitle"><span class="permalink"><a href="#a44e7aebc021646becc3f32722e22553e">◆ </a></span>CreateSpaceToBatchNd()</h2> |
| 2527 | |
| 2528 | <div class="memitem"> |
| 2529 | <div class="memproto"> |
| 2530 | <table class="mlabels"> |
| 2531 | <tr> |
| 2532 | <td class="mlabels-left"> |
| 2533 | <table class="memname"> |
| 2534 | <tr> |
| 2535 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateSpaceToBatchNd </td> |
| 2536 | <td>(</td> |
| 2537 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">SpaceToBatchNdQueueDescriptor</a> & </td> |
| 2538 | <td class="paramname"><em>descriptor</em>, </td> |
| 2539 | </tr> |
| 2540 | <tr> |
| 2541 | <td class="paramkey"></td> |
| 2542 | <td></td> |
| 2543 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2544 | <td class="paramname"><em>info</em> </td> |
| 2545 | </tr> |
| 2546 | <tr> |
| 2547 | <td></td> |
| 2548 | <td>)</td> |
| 2549 | <td></td><td> const</td> |
| 2550 | </tr> |
| 2551 | </table> |
| 2552 | </td> |
| 2553 | <td class="mlabels-right"> |
| 2554 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2555 | </tr> |
| 2556 | </table> |
| 2557 | </div><div class="memdoc"> |
| 2558 | |
| 2559 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1c9cd3cd798df38358e9047ac4621fe2">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a1d1feb2b5c6a4c6701a3dee01e65bee4">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a1d1feb2b5c6a4c6701a3dee01e65bee4">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a1d1feb2b5c6a4c6701a3dee01e65bee4">ClWorkloadFactory</a>.</p> |
| 2560 | |
| 2561 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01412">1412</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2562 | |
| 2563 | <p class="reference">Referenced by <a class="el" href="_space_to_batch_nd_layer_8cpp_source.xhtml#l00027">SpaceToBatchNdLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2564 | <div class="fragment"><div class="line"><a name="l01414"></a><span class="lineno"> 1414</span> {</div><div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01416"></a><span class="lineno"> 1416</span> }</div></div><!-- fragment --> |
| 2565 | </div> |
| 2566 | </div> |
| 2567 | <a id="a9bdc3801e1e964046730d49c0e11d1ce"></a> |
| 2568 | <h2 class="memtitle"><span class="permalink"><a href="#a9bdc3801e1e964046730d49c0e11d1ce">◆ </a></span>CreateSpaceToDepth()</h2> |
| 2569 | |
| 2570 | <div class="memitem"> |
| 2571 | <div class="memproto"> |
| 2572 | <table class="mlabels"> |
| 2573 | <tr> |
| 2574 | <td class="mlabels-left"> |
| 2575 | <table class="memname"> |
| 2576 | <tr> |
| 2577 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateSpaceToDepth </td> |
| 2578 | <td>(</td> |
| 2579 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_space_to_depth_queue_descriptor.xhtml">SpaceToDepthQueueDescriptor</a> & </td> |
| 2580 | <td class="paramname"><em>descriptor</em>, </td> |
| 2581 | </tr> |
| 2582 | <tr> |
| 2583 | <td class="paramkey"></td> |
| 2584 | <td></td> |
| 2585 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2586 | <td class="paramname"><em>info</em> </td> |
| 2587 | </tr> |
| 2588 | <tr> |
| 2589 | <td></td> |
| 2590 | <td>)</td> |
| 2591 | <td></td><td> const</td> |
| 2592 | </tr> |
| 2593 | </table> |
| 2594 | </td> |
| 2595 | <td class="mlabels-right"> |
| 2596 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2597 | </tr> |
| 2598 | </table> |
| 2599 | </div><div class="memdoc"> |
| 2600 | |
| 2601 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4069efcce4abfd80a88827ea1509b2f8">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a2318d942f9615dff92fe75688bdd8c48">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a2318d942f9615dff92fe75688bdd8c48">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a2318d942f9615dff92fe75688bdd8c48">ClWorkloadFactory</a>.</p> |
| 2602 | |
| 2603 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01418">1418</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2604 | |
| 2605 | <p class="reference">Referenced by <a class="el" href="_space_to_depth_layer_8cpp_source.xhtml#l00027">SpaceToDepthLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2606 | <div class="fragment"><div class="line"><a name="l01420"></a><span class="lineno"> 1420</span> {</div><div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01422"></a><span class="lineno"> 1422</span> }</div></div><!-- fragment --> |
| 2607 | </div> |
| 2608 | </div> |
| 2609 | <a id="ac306abe0073a04300f2d96d0b5eb6218"></a> |
| 2610 | <h2 class="memtitle"><span class="permalink"><a href="#ac306abe0073a04300f2d96d0b5eb6218">◆ </a></span>CreateSplitter()</h2> |
| 2611 | |
| 2612 | <div class="memitem"> |
| 2613 | <div class="memproto"> |
| 2614 | <table class="mlabels"> |
| 2615 | <tr> |
| 2616 | <td class="mlabels-left"> |
| 2617 | <table class="memname"> |
| 2618 | <tr> |
| 2619 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateSplitter </td> |
| 2620 | <td>(</td> |
| 2621 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_splitter_queue_descriptor.xhtml">SplitterQueueDescriptor</a> & </td> |
| 2622 | <td class="paramname"><em>descriptor</em>, </td> |
| 2623 | </tr> |
| 2624 | <tr> |
| 2625 | <td class="paramkey"></td> |
| 2626 | <td></td> |
| 2627 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2628 | <td class="paramname"><em>info</em> </td> |
| 2629 | </tr> |
| 2630 | <tr> |
| 2631 | <td></td> |
| 2632 | <td>)</td> |
| 2633 | <td></td><td> const</td> |
| 2634 | </tr> |
| 2635 | </table> |
| 2636 | </td> |
| 2637 | <td class="mlabels-right"> |
| 2638 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2639 | </tr> |
| 2640 | </table> |
| 2641 | </div><div class="memdoc"> |
| 2642 | |
| 2643 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a49428ff12e031e5af8bcc66161fa09fd">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aa98def0f9b9ff714a013f8083bbadf82">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aa98def0f9b9ff714a013f8083bbadf82">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aa98def0f9b9ff714a013f8083bbadf82">ClWorkloadFactory</a>.</p> |
| 2644 | |
| 2645 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01406">1406</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2646 | |
| 2647 | <p class="reference">Referenced by <a class="el" href="_splitter_layer_8cpp_source.xhtml#l00021">SplitterLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2648 | <div class="fragment"><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span> {</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01410"></a><span class="lineno"> 1410</span> }</div></div><!-- fragment --> |
| 2649 | </div> |
| 2650 | </div> |
| 2651 | <a id="aa06423ce3f34e4ec2d336889f8c0d79a"></a> |
| 2652 | <h2 class="memtitle"><span class="permalink"><a href="#aa06423ce3f34e4ec2d336889f8c0d79a">◆ </a></span>CreateStack()</h2> |
| 2653 | |
| 2654 | <div class="memitem"> |
| 2655 | <div class="memproto"> |
| 2656 | <table class="mlabels"> |
| 2657 | <tr> |
| 2658 | <td class="mlabels-left"> |
| 2659 | <table class="memname"> |
| 2660 | <tr> |
| 2661 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateStack </td> |
| 2662 | <td>(</td> |
| 2663 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_stack_queue_descriptor.xhtml">StackQueueDescriptor</a> & </td> |
| 2664 | <td class="paramname"><em>descriptor</em>, </td> |
| 2665 | </tr> |
| 2666 | <tr> |
| 2667 | <td class="paramkey"></td> |
| 2668 | <td></td> |
| 2669 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2670 | <td class="paramname"><em>info</em> </td> |
| 2671 | </tr> |
| 2672 | <tr> |
| 2673 | <td></td> |
| 2674 | <td>)</td> |
| 2675 | <td></td><td> const</td> |
| 2676 | </tr> |
| 2677 | </table> |
| 2678 | </td> |
| 2679 | <td class="mlabels-right"> |
| 2680 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2681 | </tr> |
| 2682 | </table> |
| 2683 | </div><div class="memdoc"> |
| 2684 | |
| 2685 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a90c2655fd294c445ca2727491c8a8c79">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a4d5371f67eabb04a38c69e97e67f1d35">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a4d5371f67eabb04a38c69e97e67f1d35">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a4d5371f67eabb04a38c69e97e67f1d35">ClWorkloadFactory</a>.</p> |
| 2686 | |
| 2687 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01424">1424</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2688 | |
| 2689 | <p class="reference">Referenced by <a class="el" href="_stack_layer_8cpp_source.xhtml#l00022">StackLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2690 | <div class="fragment"><div class="line"><a name="l01426"></a><span class="lineno"> 1426</span> {</div><div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span> }</div></div><!-- fragment --> |
| 2691 | </div> |
| 2692 | </div> |
| 2693 | <a id="a21344e9f338e1d4c3d26825002a02754"></a> |
| 2694 | <h2 class="memtitle"><span class="permalink"><a href="#a21344e9f338e1d4c3d26825002a02754">◆ </a></span>CreateStridedSlice()</h2> |
| 2695 | |
| 2696 | <div class="memitem"> |
| 2697 | <div class="memproto"> |
| 2698 | <table class="mlabels"> |
| 2699 | <tr> |
| 2700 | <td class="mlabels-left"> |
| 2701 | <table class="memname"> |
| 2702 | <tr> |
| 2703 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateStridedSlice </td> |
| 2704 | <td>(</td> |
| 2705 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_strided_slice_queue_descriptor.xhtml">StridedSliceQueueDescriptor</a> & </td> |
| 2706 | <td class="paramname"><em>descriptor</em>, </td> |
| 2707 | </tr> |
| 2708 | <tr> |
| 2709 | <td class="paramkey"></td> |
| 2710 | <td></td> |
| 2711 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2712 | <td class="paramname"><em>Info</em> </td> |
| 2713 | </tr> |
| 2714 | <tr> |
| 2715 | <td></td> |
| 2716 | <td>)</td> |
| 2717 | <td></td><td> const</td> |
| 2718 | </tr> |
| 2719 | </table> |
| 2720 | </td> |
| 2721 | <td class="mlabels-right"> |
| 2722 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2723 | </tr> |
| 2724 | </table> |
| 2725 | </div><div class="memdoc"> |
| 2726 | |
| 2727 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a757d3084d3e11a1840bd2170eb990235">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a5c46866e2a0d83e350ff70c12d9613bf">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a5c46866e2a0d83e350ff70c12d9613bf">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a5c46866e2a0d83e350ff70c12d9613bf">ClWorkloadFactory</a>.</p> |
| 2728 | |
| 2729 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01430">1430</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2730 | |
| 2731 | <p class="reference">Referenced by <a class="el" href="_strided_slice_layer_8cpp_source.xhtml#l00022">StridedSliceLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2732 | <div class="fragment"><div class="line"><a name="l01432"></a><span class="lineno"> 1432</span> {</div><div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01434"></a><span class="lineno"> 1434</span> }</div></div><!-- fragment --> |
| 2733 | </div> |
| 2734 | </div> |
| 2735 | <a id="ac043991b839903b2ba9da884e4020848"></a> |
| 2736 | <h2 class="memtitle"><span class="permalink"><a href="#ac043991b839903b2ba9da884e4020848">◆ </a></span>CreateSubTensorHandle()</h2> |
| 2737 | |
| 2738 | <div class="memitem"> |
| 2739 | <div class="memproto"> |
| 2740 | <table class="mlabels"> |
| 2741 | <tr> |
| 2742 | <td class="mlabels-left"> |
| 2743 | <table class="memname"> |
| 2744 | <tr> |
| 2745 | <td class="memname">virtual std::unique_ptr<<a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>> CreateSubTensorHandle </td> |
| 2746 | <td>(</td> |
| 2747 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> & </td> |
| 2748 | <td class="paramname"><em>parent</em>, </td> |
| 2749 | </tr> |
| 2750 | <tr> |
| 2751 | <td class="paramkey"></td> |
| 2752 | <td></td> |
| 2753 | <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> const & </td> |
| 2754 | <td class="paramname"><em>subTensorShape</em>, </td> |
| 2755 | </tr> |
| 2756 | <tr> |
| 2757 | <td class="paramkey"></td> |
| 2758 | <td></td> |
| 2759 | <td class="paramtype">unsigned int const * </td> |
| 2760 | <td class="paramname"><em>subTensorOrigin</em> </td> |
| 2761 | </tr> |
| 2762 | <tr> |
| 2763 | <td></td> |
| 2764 | <td>)</td> |
| 2765 | <td></td><td> const</td> |
| 2766 | </tr> |
| 2767 | </table> |
| 2768 | </td> |
| 2769 | <td class="mlabels-right"> |
| 2770 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 2771 | </tr> |
| 2772 | </table> |
| 2773 | </div><div class="memdoc"> |
| 2774 | |
| 2775 | <p>Implemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#af7ed41b965e30999ff8250e09d7b5abe">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#af7ed41b965e30999ff8250e09d7b5abe">SampleDynamicWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#abefb9df9d7a54cf2f82047ea350d0388">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#abefb9df9d7a54cf2f82047ea350d0388">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a99251f9711c087d7c1b5a08236ef0201">WorkloadFactoryBase</a>.</p> |
| 2776 | |
| 2777 | <p class="reference">Referenced by <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l01916">ConcatDifferentInputOutputQParamTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00272">Concatenate()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02072">ConcatTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02635">ConcatUint16Test()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02352">ConcatUint8DifferentQParamsTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02497">ConcatUint8Test()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2778 | |
| 2779 | </div> |
| 2780 | </div> |
| 2781 | <a id="a439305cf0a71fc85a0b93cc063100f91"></a> |
| 2782 | <h2 class="memtitle"><span class="permalink"><a href="#a439305cf0a71fc85a0b93cc063100f91">◆ </a></span>CreateSubtraction()</h2> |
| 2783 | |
| 2784 | <div class="memitem"> |
| 2785 | <div class="memproto"> |
| 2786 | <table class="mlabels"> |
| 2787 | <tr> |
| 2788 | <td class="mlabels-left"> |
| 2789 | <table class="memname"> |
| 2790 | <tr> |
| 2791 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateSubtraction </td> |
| 2792 | <td>(</td> |
| 2793 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_subtraction_queue_descriptor.xhtml">SubtractionQueueDescriptor</a> & </td> |
| 2794 | <td class="paramname"><em>descriptor</em>, </td> |
| 2795 | </tr> |
| 2796 | <tr> |
| 2797 | <td class="paramkey"></td> |
| 2798 | <td></td> |
| 2799 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2800 | <td class="paramname"><em>info</em> </td> |
| 2801 | </tr> |
| 2802 | <tr> |
| 2803 | <td></td> |
| 2804 | <td>)</td> |
| 2805 | <td></td><td> const</td> |
| 2806 | </tr> |
| 2807 | </table> |
| 2808 | </td> |
| 2809 | <td class="mlabels-right"> |
| 2810 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2811 | </tr> |
| 2812 | </table> |
| 2813 | </div><div class="memdoc"> |
| 2814 | |
| 2815 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a088ed247c7ec3bc1603c60f1145014e8">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a26563dd3de8f08475d30c8c8389f1ddc">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a61d64ca308b8af42b422e13382329021">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a26563dd3de8f08475d30c8c8389f1ddc">ClWorkloadFactory</a>.</p> |
| 2816 | |
| 2817 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01436">1436</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2818 | |
| 2819 | <p class="reference">Referenced by <a class="el" href="_subtraction_layer_8cpp_source.xhtml#l00022">SubtractionLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2820 | <div class="fragment"><div class="line"><a name="l01438"></a><span class="lineno"> 1438</span> {</div><div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span> }</div></div><!-- fragment --> |
| 2821 | </div> |
| 2822 | </div> |
| 2823 | <a id="ab37f39b9e3e224ccde6b36adc876bb19"></a> |
| 2824 | <h2 class="memtitle"><span class="permalink"><a href="#ab37f39b9e3e224ccde6b36adc876bb19">◆ </a></span>CreateSwitch()</h2> |
| 2825 | |
| 2826 | <div class="memitem"> |
| 2827 | <div class="memproto"> |
| 2828 | <table class="mlabels"> |
| 2829 | <tr> |
| 2830 | <td class="mlabels-left"> |
| 2831 | <table class="memname"> |
| 2832 | <tr> |
| 2833 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateSwitch </td> |
| 2834 | <td>(</td> |
| 2835 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_switch_queue_descriptor.xhtml">SwitchQueueDescriptor</a> & </td> |
| 2836 | <td class="paramname"><em>descriptor</em>, </td> |
| 2837 | </tr> |
| 2838 | <tr> |
| 2839 | <td class="paramkey"></td> |
| 2840 | <td></td> |
| 2841 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2842 | <td class="paramname"><em>Info</em> </td> |
| 2843 | </tr> |
| 2844 | <tr> |
| 2845 | <td></td> |
| 2846 | <td>)</td> |
| 2847 | <td></td><td> const</td> |
| 2848 | </tr> |
| 2849 | </table> |
| 2850 | </td> |
| 2851 | <td class="mlabels-right"> |
| 2852 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2853 | </tr> |
| 2854 | </table> |
| 2855 | </div><div class="memdoc"> |
| 2856 | |
| 2857 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a032cba0444de559937381f17bcbe48f5">WorkloadFactoryBase</a>.</p> |
| 2858 | |
| 2859 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01442">1442</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2860 | |
| 2861 | <p class="reference">Referenced by <a class="el" href="_switch_layer_8cpp_source.xhtml#l00019">SwitchLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2862 | <div class="fragment"><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span> {</div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01446"></a><span class="lineno"> 1446</span> }</div></div><!-- fragment --> |
| 2863 | </div> |
| 2864 | </div> |
| 2865 | <a id="a15c140be4ddceffee16436f009d3ed94"></a> |
| 2866 | <h2 class="memtitle"><span class="permalink"><a href="#a15c140be4ddceffee16436f009d3ed94">◆ </a></span>CreateTensorHandle() <span class="overload">[1/2]</span></h2> |
| 2867 | |
| 2868 | <div class="memitem"> |
| 2869 | <div class="memproto"> |
| 2870 | <table class="mlabels"> |
| 2871 | <tr> |
| 2872 | <td class="mlabels-left"> |
| 2873 | <table class="memname"> |
| 2874 | <tr> |
| 2875 | <td class="memname">virtual std::unique_ptr<<a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>> CreateTensorHandle </td> |
| 2876 | <td>(</td> |
| 2877 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> |
| 2878 | <td class="paramname"><em>tensorInfo</em>, </td> |
| 2879 | </tr> |
| 2880 | <tr> |
| 2881 | <td class="paramkey"></td> |
| 2882 | <td></td> |
| 2883 | <td class="paramtype">const bool </td> |
| 2884 | <td class="paramname"><em>IsMemoryManaged</em> = <code><a class="el" href="_ref_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a></code> </td> |
| 2885 | </tr> |
| 2886 | <tr> |
| 2887 | <td></td> |
| 2888 | <td>)</td> |
| 2889 | <td></td><td> const</td> |
| 2890 | </tr> |
| 2891 | </table> |
| 2892 | </td> |
| 2893 | <td class="mlabels-right"> |
| 2894 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 2895 | </tr> |
| 2896 | </table> |
| 2897 | </div><div class="memdoc"> |
| 2898 | |
| 2899 | <p>Implemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">SampleDynamicWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a526eaec84398bc8067f407769b31f4a9">WorkloadFactoryBase</a>.</p> |
| 2900 | |
| 2901 | <p class="reference">Referenced by <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00454">AdditionAfterMaxPoolTest()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00245">AdditionBroadcast1ElementTestImpl()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00162">AdditionBroadcastTestImpl()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00023">BoundedReLuTestCommon()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00184">BoundedReLuUint8UpperAndLowerBoundTest()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01142">CompareActivationTestImpl()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00561">CompareAdditionTest()</a>, <a class="el" href="_batch_normalization_test_impl_8cpp_source.xhtml#l00587">CompareBatchNormTest()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01277">CompareConvolution2dTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l02669">CompareDepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00399">CompareMultiplicationTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l01916">ConcatDifferentInputOutputQParamTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00272">Concatenate()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02072">ConcatTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02635">ConcatUint16Test()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02352">ConcatUint8DifferentQParamsTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02497">ConcatUint8Test()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00307">ConstantLinearActivationTestCommon()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00460">Convolution1dTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l03092">Convolution2dPerAxisQuantTest()</a>, <a class="el" href="_output_handler_8cpp_source.xhtml#l00023">OutputHandler::CreateTensorHandles()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01381">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01518">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l03316">DepthwiseConvolution2dPerAxisQuantTest()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01671">DepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml#l00041">ElementwiseTestHelper()</a>, <a class="el" href="_elementwise_unary_test_impl_8hpp_source.xhtml#l00035">ElementwiseUnaryTestHelper()</a>, <a class="el" href="_fake_quantization_test_impl_8cpp_source.xhtml#l00016">FakeQuantizationTest()</a>, <a class="el" href="_l2_normalization_test_impl_8cpp_source.xhtml#l00672">L2Normalization2dShapeTest()</a>, <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00020">Pad2dTestCommon()</a>, <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00093">Pad3dTestCommon()</a>, <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00177">Pad4dTestCommon()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00121">PermuteTensorData()</a>, <a class="el" href="_prelu_test_impl_8hpp_source.xhtml#l00023">PreluTest()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00392">SimpleActivationTest()</a>, <a class="el" href="_convert_fp16_to_fp32_test_impl_8cpp_source.xhtml#l00016">SimpleConvertFp16ToFp32Test()</a>, <a class="el" href="_convert_fp32_to_fp16_test_impl_8cpp_source.xhtml#l00014">SimpleConvertFp32ToFp16Test()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00367">SimpleConvolution2dNhwcTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00201">SimpleConvolution2dTestImpl()</a>, <a class="el" href="_floor_test_impl_8cpp_source.xhtml#l00015">SimpleFloorTest()</a>, <a class="el" href="_fully_connected_test_impl_8cpp_source.xhtml#l00024">SimpleFullyConnectedTestImpl()</a>, <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00019">SimplePermuteTestImpl()</a>, <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00019">SimpleTransposeTestImpl()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00792">SqrtNNTest()</a>, <a class="el" href="_transpose_convolution2d_test_impl_8cpp_source.xhtml#l00561">TransposeConvolution2dPerAxisQuantTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2902 | |
| 2903 | </div> |
| 2904 | </div> |
| 2905 | <a id="af0b0226f767fd570877710b84c7caa2a"></a> |
| 2906 | <h2 class="memtitle"><span class="permalink"><a href="#af0b0226f767fd570877710b84c7caa2a">◆ </a></span>CreateTensorHandle() <span class="overload">[2/2]</span></h2> |
| 2907 | |
| 2908 | <div class="memitem"> |
| 2909 | <div class="memproto"> |
| 2910 | <table class="mlabels"> |
| 2911 | <tr> |
| 2912 | <td class="mlabels-left"> |
| 2913 | <table class="memname"> |
| 2914 | <tr> |
| 2915 | <td class="memname">virtual std::unique_ptr<<a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>> CreateTensorHandle </td> |
| 2916 | <td>(</td> |
| 2917 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> |
| 2918 | <td class="paramname"><em>tensorInfo</em>, </td> |
| 2919 | </tr> |
| 2920 | <tr> |
| 2921 | <td class="paramkey"></td> |
| 2922 | <td></td> |
| 2923 | <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> </td> |
| 2924 | <td class="paramname"><em>dataLayout</em>, </td> |
| 2925 | </tr> |
| 2926 | <tr> |
| 2927 | <td class="paramkey"></td> |
| 2928 | <td></td> |
| 2929 | <td class="paramtype">const bool </td> |
| 2930 | <td class="paramname"><em>IsMemoryManaged</em> = <code><a class="el" href="_ref_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a></code> </td> |
| 2931 | </tr> |
| 2932 | <tr> |
| 2933 | <td></td> |
| 2934 | <td>)</td> |
| 2935 | <td></td><td> const</td> |
| 2936 | </tr> |
| 2937 | </table> |
| 2938 | </td> |
| 2939 | <td class="mlabels-right"> |
| 2940 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 2941 | </tr> |
| 2942 | </table> |
| 2943 | </div><div class="memdoc"> |
| 2944 | |
| 2945 | <p>Implemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aaed323bbcbaded57334783e4732ee3ed">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#aaed323bbcbaded57334783e4732ee3ed">SampleDynamicWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aaed323bbcbaded57334783e4732ee3ed">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aaed323bbcbaded57334783e4732ee3ed">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a68f34fb8ec9a7921a1f6c17b4f5312e6">WorkloadFactoryBase</a>.</p> |
| 2946 | |
| 2947 | </div> |
| 2948 | </div> |
| 2949 | <a id="a96217a8bbb66811608ce729fd49a3dd2"></a> |
| 2950 | <h2 class="memtitle"><span class="permalink"><a href="#a96217a8bbb66811608ce729fd49a3dd2">◆ </a></span>CreateTranspose()</h2> |
| 2951 | |
| 2952 | <div class="memitem"> |
| 2953 | <div class="memproto"> |
| 2954 | <table class="mlabels"> |
| 2955 | <tr> |
| 2956 | <td class="mlabels-left"> |
| 2957 | <table class="memname"> |
| 2958 | <tr> |
| 2959 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateTranspose </td> |
| 2960 | <td>(</td> |
| 2961 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_transpose_queue_descriptor.xhtml">TransposeQueueDescriptor</a> & </td> |
| 2962 | <td class="paramname"><em>descriptor</em>, </td> |
| 2963 | </tr> |
| 2964 | <tr> |
| 2965 | <td class="paramkey"></td> |
| 2966 | <td></td> |
| 2967 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 2968 | <td class="paramname"><em>info</em> </td> |
| 2969 | </tr> |
| 2970 | <tr> |
| 2971 | <td></td> |
| 2972 | <td>)</td> |
| 2973 | <td></td><td> const</td> |
| 2974 | </tr> |
| 2975 | </table> |
| 2976 | </td> |
| 2977 | <td class="mlabels-right"> |
| 2978 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 2979 | </tr> |
| 2980 | </table> |
| 2981 | </div><div class="memdoc"> |
| 2982 | |
| 2983 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a07446244299bc12305593358695ea1b4">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ac302ae63e103b22d6ce4fef0f5513899">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aac9d1b722bcd5b59cc6760ca2607ef8e">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ac302ae63e103b22d6ce4fef0f5513899">ClWorkloadFactory</a>.</p> |
| 2984 | |
| 2985 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01448">1448</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 2986 | |
| 2987 | <p class="reference">Referenced by <a class="el" href="_transpose_layer_8cpp_source.xhtml#l00025">TransposeLayer::CreateWorkload()</a>, <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00019">SimpleTransposeTestImpl()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 2988 | <div class="fragment"><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span> {</div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span> }</div></div><!-- fragment --> |
| 2989 | </div> |
| 2990 | </div> |
| 2991 | <a id="a12cccba82124cc4993868a3173a65167"></a> |
| 2992 | <h2 class="memtitle"><span class="permalink"><a href="#a12cccba82124cc4993868a3173a65167">◆ </a></span>CreateTransposeConvolution2d()</h2> |
| 2993 | |
| 2994 | <div class="memitem"> |
| 2995 | <div class="memproto"> |
| 2996 | <table class="mlabels"> |
| 2997 | <tr> |
| 2998 | <td class="mlabels-left"> |
| 2999 | <table class="memname"> |
| 3000 | <tr> |
| 3001 | <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateTransposeConvolution2d </td> |
| 3002 | <td>(</td> |
| 3003 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.xhtml">TransposeConvolution2dQueueDescriptor</a> & </td> |
| 3004 | <td class="paramname"><em>descriptor</em>, </td> |
| 3005 | </tr> |
| 3006 | <tr> |
| 3007 | <td class="paramkey"></td> |
| 3008 | <td></td> |
| 3009 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> |
| 3010 | <td class="paramname"><em>info</em> </td> |
| 3011 | </tr> |
| 3012 | <tr> |
| 3013 | <td></td> |
| 3014 | <td>)</td> |
| 3015 | <td></td><td> const</td> |
| 3016 | </tr> |
| 3017 | </table> |
| 3018 | </td> |
| 3019 | <td class="mlabels-right"> |
| 3020 | <span class="mlabels"><span class="mlabel">virtual</span></span> </td> |
| 3021 | </tr> |
| 3022 | </table> |
| 3023 | </div><div class="memdoc"> |
| 3024 | |
| 3025 | <p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#acb80cd4ff2c145b80554376643fc54db">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a29e02d375261a32c39635d6833a49333">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a29e02d375261a32c39635d6833a49333">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a29e02d375261a32c39635d6833a49333">ClWorkloadFactory</a>.</p> |
| 3026 | |
| 3027 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01454">1454</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 3028 | |
| 3029 | <p class="reference">Referenced by <a class="el" href="_transpose_convolution2d_layer_8cpp_source.xhtml#l00027">TransposeConvolution2dLayer::CreateWorkload()</a>, <a class="el" href="_transpose_convolution2d_test_impl_8cpp_source.xhtml#l00561">TransposeConvolution2dPerAxisQuantTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 3030 | <div class="fragment"><div class="line"><a name="l01457"></a><span class="lineno"> 1457</span> {</div><div class="line"><a name="l01458"></a><span class="lineno"> 1458</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01459"></a><span class="lineno"> 1459</span> }</div></div><!-- fragment --> |
| 3031 | </div> |
| 3032 | </div> |
| 3033 | <a id="a9f7e4296485d2812e7996089149c96d1"></a> |
| 3034 | <h2 class="memtitle"><span class="permalink"><a href="#a9f7e4296485d2812e7996089149c96d1">◆ </a></span>GetBackendId()</h2> |
| 3035 | |
| 3036 | <div class="memitem"> |
| 3037 | <div class="memproto"> |
| 3038 | <table class="mlabels"> |
| 3039 | <tr> |
| 3040 | <td class="mlabels-left"> |
| 3041 | <table class="memname"> |
| 3042 | <tr> |
| 3043 | <td class="memname">virtual const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a>& GetBackendId </td> |
| 3044 | <td>(</td> |
| 3045 | <td class="paramname"></td><td>)</td> |
| 3046 | <td> const</td> |
| 3047 | </tr> |
| 3048 | </table> |
| 3049 | </td> |
| 3050 | <td class="mlabels-right"> |
| 3051 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 3052 | </tr> |
| 3053 | </table> |
| 3054 | </div><div class="memdoc"> |
| 3055 | |
| 3056 | <p>Implemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ae2cd7e29596b68884bfaade25f8f0dc0">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#ae2cd7e29596b68884bfaade25f8f0dc0">SampleDynamicWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ae2cd7e29596b68884bfaade25f8f0dc0">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#ae2cd7e29596b68884bfaade25f8f0dc0">NeonWorkloadFactory</a>.</p> |
| 3057 | |
| 3058 | <p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 3059 | |
| 3060 | </div> |
| 3061 | </div> |
| 3062 | <a id="a74dc9ec1a223eab8b072368b2dacee87"></a> |
| 3063 | <h2 class="memtitle"><span class="permalink"><a href="#a74dc9ec1a223eab8b072368b2dacee87">◆ </a></span>IsLayerSupported() <span class="overload">[1/2]</span></h2> |
| 3064 | |
| 3065 | <div class="memitem"> |
| 3066 | <div class="memproto"> |
| 3067 | <table class="mlabels"> |
| 3068 | <tr> |
| 3069 | <td class="mlabels-left"> |
| 3070 | <table class="memname"> |
| 3071 | <tr> |
| 3072 | <td class="memname">bool IsLayerSupported </td> |
| 3073 | <td>(</td> |
| 3074 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> & </td> |
| 3075 | <td class="paramname"><em>backendId</em>, </td> |
| 3076 | </tr> |
| 3077 | <tr> |
| 3078 | <td class="paramkey"></td> |
| 3079 | <td></td> |
| 3080 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a> & </td> |
| 3081 | <td class="paramname"><em>layer</em>, </td> |
| 3082 | </tr> |
| 3083 | <tr> |
| 3084 | <td class="paramkey"></td> |
| 3085 | <td></td> |
| 3086 | <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > </td> |
| 3087 | <td class="paramname"><em>dataType</em>, </td> |
| 3088 | </tr> |
| 3089 | <tr> |
| 3090 | <td class="paramkey"></td> |
| 3091 | <td></td> |
| 3092 | <td class="paramtype">std::string & </td> |
| 3093 | <td class="paramname"><em>outReasonIfUnsupported</em> </td> |
| 3094 | </tr> |
| 3095 | <tr> |
| 3096 | <td></td> |
| 3097 | <td>)</td> |
| 3098 | <td></td><td></td> |
| 3099 | </tr> |
| 3100 | </table> |
| 3101 | </td> |
| 3102 | <td class="mlabels-right"> |
| 3103 | <span class="mlabels"><span class="mlabel">static</span></span> </td> |
| 3104 | </tr> |
| 3105 | </table> |
| 3106 | </div><div class="memdoc"> |
| 3107 | |
| 3108 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l00045">45</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 3109 | |
| 3110 | <p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::ArgMinMax</a>, <a class="el" href="_backend_registry_8cpp_source.xhtml#l00013">armnn::BackendRegistryInstance()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::BatchNormalization</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::BatchToSpaceNd</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::Comparison</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::Concat</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::ConvertFp16ToFp32</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::ConvertFp32ToFp16</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::Convolution2d</a>, <a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3daa603905470e2a5b8c13e96b579ef0dba">armnn::Debug</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::DepthToSpace</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::Dequantize</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::DetectionPostProcess</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::Division</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::ElementwiseUnary</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::FakeQuantization</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::Floor</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::FullyConnected</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::Gather</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00014">armnn::GetBiasTypeFromWeightsType()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00199">InputSlot::GetConnection()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00310">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00231">Layer::GetInputSlots()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">IConnectableLayer::GetName()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00312">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00232">Layer::GetOutputSlots()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00063">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00259">Layer::GetType()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::InstanceNormalization</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::L2Normalization</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LogSoftmax</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::Lstm</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00386">FullyConnectedDescriptor::m_BiasEnabled</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00151">QuantizedLstmInputParamsInfo::m_CellBias</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00150">QuantizedLstmInputParamsInfo::m_ForgetGateBias</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00149">QuantizedLstmInputParamsInfo::m_InputGateBias</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00141">QuantizedLstmInputParamsInfo::m_InputToCellWeights</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00090">LstmInputParamsInfo::m_InputToForgetWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00140">QuantizedLstmInputParamsInfo::m_InputToForgetWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00139">QuantizedLstmInputParamsInfo::m_InputToInputWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00142">QuantizedLstmInputParamsInfo::m_InputToOutputWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00152">QuantizedLstmInputParamsInfo::m_OutputGateBias</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00146">QuantizedLstmInputParamsInfo::m_RecurrentToCellWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00145">QuantizedLstmInputParamsInfo::m_RecurrentToForgetWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00144">QuantizedLstmInputParamsInfo::m_RecurrentToInputWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00147">QuantizedLstmInputParamsInfo::m_RecurrentToOutputWeights</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::Maximum</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::Mean</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::MemCopy</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::MemImport</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::Merge</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::Minimum</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::Multiplication</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::Normalization</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::Pad</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::Permute</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::Pooling2d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">armnn::PreCompiled</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::Prelu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::Quantize</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::QuantizedLstm</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::Reshape</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::Resize</a>, <a class="el" href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::Slice</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::Softmax</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::SpaceToBatchNd</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::SpaceToDepth</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::Splitter</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::Stack</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99">armnn::StandIn</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::StridedSlice</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::Subtraction</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b">armnn::Switch</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::Transpose</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::TransposeConvolution2d</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> |
| 3111 | |
| 3112 | <p class="reference">Referenced by <a class="el" href="_network_8cpp_source.xhtml#l00149">armnn::AttemptBackendAssignment()</a>, <a class="el" href="_loaded_network_8cpp_source.xhtml#l00277">LoadedNetwork::GetOutputTensorInfo()</a>, <a class="el" href="_cl_workload_factory_8cpp_source.xhtml#l00038">ClWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00033">NeonWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_sample_dynamic_workload_factory_8cpp_source.xhtml#l00037">SampleDynamicWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01084">IWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_ref_workload_factory_8cpp_source.xhtml#l00098">RefWorkloadFactory::IsLayerSupported()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 3113 | <div class="fragment"><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  Optional<std::string&> reason = outReasonIfUnsupported;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordtype">bool</span> result;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> Layer& layer = *(boost::polymorphic_downcast<const Layer*>(&connectableLayer));</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">auto</span> <span class="keyword">const</span>& backendRegistry = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">BackendRegistryInstance</a>();</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">if</span> (!backendRegistry.IsBackendRegistered(backendId))</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  std::stringstream ss;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  ss << connectableLayer.GetName() << <span class="stringliteral">" is not supported on "</span> << backendId</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  << <span class="stringliteral">" because this backend is not registered."</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  outReasonIfUnsupported = ss.str();</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">auto</span> backendFactory = backendRegistry.GetFactory(backendId);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">auto</span> backendObject = backendFactory();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">auto</span> layerSupportObject = backendObject->GetLayerSupport();</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">switch</span>(layer.GetType())</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>:</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ActivationLayer*>(&layer);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  result = layerSupportObject->IsActivationSupported(</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  reason);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>:</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  result = layerSupportObject->IsAdditionSupported(</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  OverrideDataType(input0, dataType),</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  reason);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">LayerType::ArgMinMax</a>:</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ArgMinMaxLayer*>(&layer);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">const</span> ArgMinMaxDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  result = layerSupportObject->IsArgMinMaxSupported(</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  OverrideDataType(output, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>),</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  descriptor,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  reason);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>:</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const BatchNormalizationLayer*>(&layer);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">const</span> TensorInfo& mean = cLayer->m_Mean->GetTensorInfo();</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">const</span> TensorInfo& var = cLayer->m_Variance->GetTensorInfo();</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keyword">const</span> TensorInfo& beta = cLayer->m_Beta->GetTensorInfo();</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">const</span> TensorInfo& gamma = cLayer->m_Gamma->GetTensorInfo();</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  result = layerSupportObject->IsBatchNormalizationSupported(</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  OverrideDataType(mean, dataType),</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  OverrideDataType(var, dataType),</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  OverrideDataType(beta, dataType),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  OverrideDataType(gamma, dataType),</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  reason);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a>:</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const BatchToSpaceNdLayer*>(&layer);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  result = layerSupportObject->IsBatchToSpaceNdSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  reason);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">LayerType::Comparison</a>:</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ComparisonLayer*>(&layer);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  result = layerSupportObject->IsComparisonSupported(OverrideDataType(input0, dataType),</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  OverrideDataType(output, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>),</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  reason);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  }</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>:</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  result = layerSupportObject->IsConstantSupported(OverrideDataType(output, dataType), reason);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>:</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  result = layerSupportObject->IsConvertFp16ToFp32Supported(input, output, reason);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a>:</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  {</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  result = layerSupportObject->IsConvertFp32ToFp16Supported(input, output, reason);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  }</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>:</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  {</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const Convolution2dLayer*>(&layer);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">const</span> TensorInfo input = OverrideDataType(layer.GetInputSlot(0).GetConnection()->GetTensorInfo(),</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  dataType);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">const</span> TensorInfo output = OverrideDataType(layer.GetOutputSlot(0).GetTensorInfo(), dataType);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  BOOST_ASSERT(cLayer->m_Weight.get() != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> Convolution2dDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="comment">// Construct optional biases object based on the value of m_BiasEnabled</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  Optional<TensorInfo> biases;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  biases =</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  OverrideDataType(cLayer->m_Bias->GetTensorInfo(), <a class="code" href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">GetBiasTypeFromWeightsType</a>(dataType));</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  }</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  result = layerSupportObject->IsConvolution2dSupported(</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  input,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  output,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  descriptor,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  OverrideDataType(cLayer->m_Weight->GetTensorInfo(), dataType),</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  biases,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  reason);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  }</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3daa603905470e2a5b8c13e96b579ef0dba">LayerType::Debug</a>:</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  result = layerSupportObject->IsDebugSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  reason);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">LayerType::DepthToSpace</a>:</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const DepthToSpaceLayer*>(&layer);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  result = layerSupportObject->IsDepthToSpaceSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  reason);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  }</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>:</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  {</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const DepthwiseConvolution2dLayer*>(&layer);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">const</span> TensorInfo& input = OverrideDataType(layer.GetInputSlot(0).GetConnection()->GetTensorInfo(),</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  dataType);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">const</span> TensorInfo& output = OverrideDataType(layer.GetOutputSlot(0).GetTensorInfo(), dataType);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  BOOST_ASSERT(cLayer->m_Weight.get() != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keyword">const</span> DepthwiseConvolution2dDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="comment">// Construct optional biases object based on the value of m_BiasEnabled</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  Optional<TensorInfo> biases;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  biases =</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  OverrideDataType(cLayer->m_Bias->GetTensorInfo(), <a class="code" href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">GetBiasTypeFromWeightsType</a>(dataType));</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  }</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  result = layerSupportObject->IsDepthwiseConvolutionSupported(</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  input,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  output,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  descriptor,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  OverrideDataType(cLayer->m_Weight->GetTensorInfo(), dataType),</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  biases,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  reason);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  }</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">LayerType::Dequantize</a>:</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  {</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  result = layerSupportObject->IsDequantizeSupported(input,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  reason);</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>:</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  {</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const DetectionPostProcessLayer*>(&layer);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">const</span> TensorInfo& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a> = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keyword">const</span> TensorInfo& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a> = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keyword">const</span> TensorInfo& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a> = cLayer->m_Anchors->GetTensorInfo();</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">const</span> TensorInfo& detectionBoxes = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keyword">const</span> TensorInfo& detectionClasses = layer.GetOutputSlot(1).GetTensorInfo();</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">const</span> TensorInfo& detectionScores = layer.GetOutputSlot(2).GetTensorInfo();</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keyword">const</span> TensorInfo& numDetections = layer.GetOutputSlot(3).GetTensorInfo();</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keyword">const</span> DetectionPostProcessDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  result = layerSupportObject->IsDetectionPostProcessSupported(boxEncodings,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  scores,</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  anchors,</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  detectionBoxes,</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  detectionClasses,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  detectionScores,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  numDetections,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  descriptor,</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  reason);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  }</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</a>:</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  {</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ElementwiseUnaryLayer*>(&layer);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  result = layerSupportObject->IsElementwiseUnarySupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  reason);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">LayerType::FakeQuantization</a>:</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const FakeQuantizationLayer*>(&layer);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  result = layerSupportObject->IsFakeQuantizationSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  reason);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  }</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</a>:</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  {</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  result = layerSupportObject->IsFloorSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  reason);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  }</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>:</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  {</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const FullyConnectedLayer*>(&layer);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  BOOST_ASSERT(cLayer->m_Weight.get() != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> </div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  TensorInfo biasInfo;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keyword">const</span> TensorInfo * biasInfoPtr = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">static</span> <span class="keyword">const</span> TensorInfo dummyBFloat16Bias(TensorShape({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">static</span> <span class="keyword">const</span> TensorInfo dummyFloat16Bias(TensorShape({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">static</span> <span class="keyword">const</span> TensorInfo dummyFloat32Bias(TensorShape({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keyword">static</span> <span class="keyword">const</span> TensorInfo dummyQA8Bias(TensorShape({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keyword">const</span> FullyConnectedDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  BOOST_ASSERT(cLayer->m_Bias.get() != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  biasInfo = OverrideDataType(cLayer->m_Bias->GetTensorInfo(), <a class="code" href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">GetBiasTypeFromWeightsType</a>(dataType));</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  biasInfoPtr = &biasInfo;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  }</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  {</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="comment">// If biases are not enabled pass a dummy tensorinfo for the validation</span></div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordflow">switch</span>(input.GetDataType())</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>:</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  {</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  biasInfoPtr = &dummyBFloat16Bias;</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  }</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>:</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  {</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  biasInfoPtr = &dummyFloat16Bias;</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  }</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>:</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  {</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  biasInfoPtr = &dummyFloat32Bias;</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  }</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>:</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>:</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>:</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>:</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  biasInfoPtr = &dummyQA8Bias;</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  }</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">"Unexpected bias type"</span>);</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  }</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  }</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  }</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  result = layerSupportObject->IsFullyConnectedSupported(</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  OverrideDataType(cLayer->m_Weight->GetTensorInfo(), dataType),</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  *biasInfoPtr,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  descriptor,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  reason);</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">LayerType::Gather</a>:</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  {</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  result = layerSupportObject->IsGatherSupported(OverrideDataType(input0, dataType),</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  input1,</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  reason);</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  }</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  {</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  result = layerSupportObject->IsInputSupported(OverrideDataType(input, dataType), reason);</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  }</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">LayerType::InstanceNormalization</a>:</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  {</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const InstanceNormalizationLayer*>(&layer);</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keyword">const</span> InstanceNormalizationDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> </div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  result = layerSupportObject->IsInstanceNormalizationSupported(</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  descriptor,</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  reason);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  }</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">LayerType::L2Normalization</a>:</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  {</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const L2NormalizationLayer*>(&layer);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keyword">const</span> L2NormalizationDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> </div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  result = layerSupportObject->IsL2NormalizationSupported(</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  descriptor,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  reason);</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  }</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a>:</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  {</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const LogSoftmaxLayer*>(&layer);</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> </div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> </div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  result = layerSupportObject->IsLogSoftmaxSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  reason);</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  }</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">LayerType::Lstm</a>:</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  {</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const LstmLayer*>(&layer);</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keyword">const</span> LstmDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> </div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="comment">// All inputs.</span></div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keyword">const</span> TensorInfo& input = OverrideDataType(layer.GetInputSlot(0).GetConnection()->GetTensorInfo(),</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  dataType);</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keyword">const</span> TensorInfo& outputStateIn = OverrideDataType(layer.GetInputSlot(1).GetConnection()->GetTensorInfo(),</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  dataType);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keyword">const</span> TensorInfo& cellStateIn = OverrideDataType(layer.GetInputSlot(2).GetConnection()->GetTensorInfo(),</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  dataType);</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="comment">// All outputs</span></div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keyword">const</span> TensorInfo& scratchBuffer = OverrideDataType(layer.GetOutputSlot(0).GetTensorInfo(), dataType);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keyword">const</span> TensorInfo& outputStateOut = OverrideDataType(layer.GetOutputSlot(1).GetTensorInfo(), dataType);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keyword">const</span> TensorInfo& cellStateOut = OverrideDataType(layer.GetOutputSlot(2).GetTensorInfo(), dataType);</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keyword">const</span> TensorInfo& output = OverrideDataType(layer.GetOutputSlot(3).GetTensorInfo(), dataType);</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span> </div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="comment">// Basic parameters</span></div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">const</span> TensorInfo& inputToForgetWeights</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  = OverrideDataType(cLayer->m_BasicParameters.m_InputToForgetWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keyword">const</span> TensorInfo& inputToCellWeights</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  = OverrideDataType(cLayer->m_BasicParameters.m_InputToCellWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keyword">const</span> TensorInfo& inputToOutputWeights</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  = OverrideDataType(cLayer->m_BasicParameters.m_InputToOutputWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keyword">const</span> TensorInfo& recurrentToForgetWeights</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  = OverrideDataType(cLayer->m_BasicParameters.m_RecurrentToForgetWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keyword">const</span> TensorInfo& recurrentToCellWeights</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  = OverrideDataType(cLayer->m_BasicParameters.m_RecurrentToCellWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keyword">const</span> TensorInfo& recurrentToOutputWeights</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  = OverrideDataType(cLayer->m_BasicParameters.m_RecurrentToOutputWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keyword">const</span> TensorInfo& forgetGateBias</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  = OverrideDataType(cLayer->m_BasicParameters.m_ForgetGateBias->GetTensorInfo(), dataType);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keyword">const</span> TensorInfo& cellBias</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  = OverrideDataType(cLayer->m_BasicParameters.m_CellBias->GetTensorInfo(), dataType);</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keyword">const</span> TensorInfo& outputGateBias</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  = OverrideDataType(cLayer->m_BasicParameters.m_OutputGateBias->GetTensorInfo(), dataType);</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> </div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  LstmInputParamsInfo paramsInfo;</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  paramsInfo.m_InputToForgetWeights = &inputToForgetWeights;</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  paramsInfo.m_InputToCellWeights = &inputToCellWeights;</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  paramsInfo.m_InputToOutputWeights = &inputToOutputWeights;</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  paramsInfo.m_RecurrentToForgetWeights = &recurrentToForgetWeights;</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  paramsInfo.m_RecurrentToCellWeights = &recurrentToCellWeights;</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  paramsInfo.m_RecurrentToOutputWeights = &recurrentToOutputWeights;</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  paramsInfo.m_ForgetGateBias = &forgetGateBias;</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  paramsInfo.m_CellBias = &cellBias;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  paramsInfo.m_OutputGateBias = &outputGateBias;</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> </div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="comment">// Optional parameters</span></div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  TensorInfo optInputToInputWeights;</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  TensorInfo optRecurrentToInputWeights;</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  TensorInfo optCellToInputWeights;</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  TensorInfo optInputGateBias;</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  TensorInfo optProjectionWeights;</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  TensorInfo optProjectionBias;</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  TensorInfo optCellToForgetWeights;</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  TensorInfo optCellToOutputWeights;</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  TensorInfo optInputLayerNormWeights;</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  TensorInfo optForgetLayerNormWeights;</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  TensorInfo optCellLayerNormWeights;</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  TensorInfo optOutputLayerNormWeights;</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span> </div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  {</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  optInputToInputWeights =</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  OverrideDataType(cLayer->m_CifgParameters.m_InputToInputWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  paramsInfo.m_InputToInputWeights = &optInputToInputWeights;</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> </div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  optRecurrentToInputWeights =</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  OverrideDataType(cLayer->m_CifgParameters.m_RecurrentToInputWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  paramsInfo.m_RecurrentToInputWeights = &optRecurrentToInputWeights;</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">if</span> (cLayer->m_CifgParameters.m_CellToInputWeights != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  {</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  optCellToInputWeights =</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  OverrideDataType(cLayer->m_CifgParameters.m_CellToInputWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  paramsInfo.m_CellToInputWeights = &optCellToInputWeights;</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  }</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  optInputGateBias =</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  OverrideDataType(cLayer->m_CifgParameters.m_InputGateBias->GetTensorInfo(), dataType);</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  paramsInfo.m_InputGateBias = &optInputGateBias;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  }</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> </div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  {</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  optProjectionWeights =</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  OverrideDataType(cLayer->m_ProjectionParameters.m_ProjectionWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  paramsInfo.m_ProjectionWeights = &optProjectionWeights;</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keywordflow">if</span> (cLayer->m_ProjectionParameters.m_ProjectionBias != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  {</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  optProjectionBias =</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  OverrideDataType(cLayer->m_ProjectionParameters.m_ProjectionBias->GetTensorInfo(), dataType);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  paramsInfo.m_ProjectionBias = &optProjectionBias;</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  }</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  }</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> </div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  {</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  optCellToForgetWeights =</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  OverrideDataType(cLayer->m_PeepholeParameters.m_CellToForgetWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  paramsInfo.m_CellToForgetWeights = &optCellToForgetWeights;</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  optCellToOutputWeights =</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  OverrideDataType(cLayer->m_PeepholeParameters.m_CellToOutputWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  paramsInfo.m_CellToOutputWeights = &optCellToOutputWeights;</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  }</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> </div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  {</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keywordflow">if</span> (!descriptor.m_CifgEnabled)</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  {</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  optInputLayerNormWeights = OverrideDataType(</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  cLayer->m_LayerNormParameters.m_InputLayerNormWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  paramsInfo.m_InputLayerNormWeights = &optInputLayerNormWeights;</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  }</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  optForgetLayerNormWeights = OverrideDataType(</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  cLayer->m_LayerNormParameters.m_ForgetLayerNormWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  paramsInfo.m_ForgetLayerNormWeights = &optForgetLayerNormWeights;</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  optCellLayerNormWeights = OverrideDataType(</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  cLayer->m_LayerNormParameters.m_CellLayerNormWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  paramsInfo.m_CellLayerNormWeights = &optCellLayerNormWeights;</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> </div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  optOutputLayerNormWeights = OverrideDataType(</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  cLayer->m_LayerNormParameters.m_OutputLayerNormWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  paramsInfo.m_OutputLayerNormWeights = &optOutputLayerNormWeights;</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  }</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> </div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  result = layerSupportObject->IsLstmSupported(</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  input,</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  outputStateIn,</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  cellStateIn,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  scratchBuffer,</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  outputStateOut,</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  cellStateOut,</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  output,</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  descriptor,</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  paramsInfo,</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  reason);</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  }</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">LayerType::Maximum</a>:</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  {</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> </div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  result = layerSupportObject->IsMaximumSupported(OverrideDataType(input0, dataType),</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  reason);</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  }</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a>:</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  {</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span> </div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  result = layerSupportObject->IsMemCopySupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  reason);</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  }</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a>:</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  {</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span> </div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  result = layerSupportObject->IsMemImportSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  reason);</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  }</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">LayerType::Merge</a>:</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  {</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span> </div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  result = layerSupportObject->IsMergeSupported(OverrideDataType(input0, dataType),</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  reason);</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  }</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a>:</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  {</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ConcatLayer*>(&layer);</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span> </div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="comment">// Get vector of all inputs.</span></div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <span class="keyword">auto</span> getTensorInfo = [&dataType](<span class="keyword">const</span> InputSlot& slot)</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  {</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keywordflow">return</span> OverrideDataType(slot.GetConnectedOutputSlot()->GetTensorInfo(), dataType);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  };</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="keyword">auto</span> beginI = boost::make_transform_iterator(layer.GetInputSlots().begin(), getTensorInfo);</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keyword">auto</span> endI = boost::make_transform_iterator(layer.GetInputSlots().end(), getTensorInfo);</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  std::vector<TensorInfo> inputs(beginI, endI);</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span> </div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keyword">auto</span> getTensorInfoPtr = [](<span class="keyword">const</span> TensorInfo& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  {</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <span class="keywordflow">return</span> &<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  };</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <span class="keyword">auto</span> beginPtr = boost::make_transform_iterator(inputs.begin(), getTensorInfoPtr);</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <span class="keyword">auto</span> endPtr = boost::make_transform_iterator(inputs.end(), getTensorInfoPtr);</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  std::vector<const TensorInfo*> inputPtrs(beginPtr, endPtr);</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span> </div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span> </div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  result = layerSupportObject->IsConcatSupported(inputPtrs, output, cLayer->GetParameters(), reason);</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span> </div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> </div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  }</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>:</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  {</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  result = layerSupportObject->IsMultiplicationSupported(</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  OverrideDataType(input0, dataType),</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  reason);</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  }</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">LayerType::Normalization</a>:</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  {</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const NormalizationLayer*>(&layer);</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  result = layerSupportObject->IsNormalizationSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  reason);</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  }</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  {</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  result = layerSupportObject->IsOutputSupported(OverrideDataType(output, dataType), reason);</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  }</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a>:</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  {</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const PermuteLayer*>(&layer);</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  result = layerSupportObject->IsPermuteSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  reason);</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  }</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a>:</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  {</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const PadLayer*>(&layer);</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  result = layerSupportObject->IsPadSupported(</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  reason);</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  }</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>:</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  {</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const Pooling2dLayer*>(&layer);</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  result = layerSupportObject->IsPooling2dSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  reason);</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  }</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">LayerType::PreCompiled</a>:</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  {</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const PreCompiledLayer*>(&layer);</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  result = layerSupportObject->IsPreCompiledSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  reason);</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  }</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">LayerType::Quantize</a>:</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  {</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  result = layerSupportObject->IsQuantizeSupported(input, output, reason);</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  }</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a>:</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  {</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const QuantizedLstmLayer*>(&layer);</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> </div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="comment">// Inputs</span></div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <span class="keyword">const</span> TensorInfo& previousCellStateIn = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <span class="keyword">const</span> TensorInfo& previousOutputIn = layer.GetInputSlot(2).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span> </div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <span class="comment">// Outputs</span></div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <span class="keyword">const</span> TensorInfo& cellStateOut = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(1).GetTensorInfo();</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> </div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="comment">// QuantizedLstm parameters</span></div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  QuantizedLstmInputParamsInfo paramsInfo;</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span> </div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  paramsInfo.m_InputToInputWeights =</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  &cLayer->m_QuantizedLstmParameters.m_InputToInputWeights->GetTensorInfo();</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  paramsInfo.m_InputToForgetWeights =</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  &cLayer->m_QuantizedLstmParameters.m_InputToForgetWeights->GetTensorInfo();</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  paramsInfo.m_InputToCellWeights =</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  &cLayer->m_QuantizedLstmParameters.m_InputToCellWeights->GetTensorInfo();</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  paramsInfo.m_InputToOutputWeights =</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  &cLayer->m_QuantizedLstmParameters.m_InputToOutputWeights->GetTensorInfo();</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span> </div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  paramsInfo.m_RecurrentToInputWeights =</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  &cLayer->m_QuantizedLstmParameters.m_RecurrentToInputWeights->GetTensorInfo();</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  paramsInfo.m_RecurrentToForgetWeights =</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  &cLayer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights->GetTensorInfo();</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  paramsInfo.m_RecurrentToCellWeights =</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  &cLayer->m_QuantizedLstmParameters.m_RecurrentToCellWeights->GetTensorInfo();</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  paramsInfo.m_RecurrentToOutputWeights =</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  &cLayer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights->GetTensorInfo();</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span> </div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  paramsInfo.m_InputGateBias =</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  &cLayer->m_QuantizedLstmParameters.m_InputGateBias->GetTensorInfo();</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  paramsInfo.m_ForgetGateBias =</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  &cLayer->m_QuantizedLstmParameters.m_ForgetGateBias->GetTensorInfo();</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  paramsInfo.m_CellBias =</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  &cLayer->m_QuantizedLstmParameters.m_CellBias->GetTensorInfo();</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  paramsInfo.m_OutputGateBias =</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  &cLayer->m_QuantizedLstmParameters.m_OutputGateBias->GetTensorInfo();;</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span> </div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  result = layerSupportObject->IsQuantizedLstmSupported(input,</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  previousCellStateIn,</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  previousOutputIn,</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  cellStateOut,</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  output,</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  paramsInfo,</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  reason);</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  }</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>:</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  {</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  result = layerSupportObject->IsDivisionSupported(</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  OverrideDataType(input0, dataType),</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  reason);</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  }</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>:</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  {</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ReshapeLayer*>(&layer);</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  result = layerSupportObject->IsReshapeSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  reason);</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  }</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a>:</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  {</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ResizeLayer*>(&layer);</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  result = layerSupportObject->IsResizeSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  reason);</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  }</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">LayerType::Slice</a>:</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  {</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const SliceLayer*>(&layer);</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span> </div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span> </div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  result = layerSupportObject->IsSliceSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  reason);</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  }</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a>:</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  {</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const SoftmaxLayer*>(&layer);</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  result = layerSupportObject->IsSoftmaxSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  reason);</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  }</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">LayerType::SpaceToBatchNd</a>:</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  {</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const SpaceToBatchNdLayer*>(&layer);</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  result = layerSupportObject->IsSpaceToBatchNdSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  reason);</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  }</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">LayerType::SpaceToDepth</a>:</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  {</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const SpaceToDepthLayer*>(&layer);</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span> </div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span> </div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  result = layerSupportObject->IsSpaceToDepthSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  reason);</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  }</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">LayerType::Splitter</a>:</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  {</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const SplitterLayer*>(&layer);</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span> </div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="comment">// Get vector of all outputs.</span></div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  <span class="keyword">auto</span> getTensorInfo = [&dataType](<span class="keyword">const</span> OutputSlot& slot)</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  {</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <span class="keywordflow">return</span> OverrideDataType(slot.GetTensorInfo(), dataType);</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  };</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <span class="keyword">auto</span> beginI = boost::make_transform_iterator(layer.GetOutputSlots().begin(), getTensorInfo);</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <span class="keyword">auto</span> endI = boost::make_transform_iterator(layer.GetOutputSlots().end(), getTensorInfo);</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  std::vector<TensorInfo> outputs(beginI, endI);</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span> </div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <span class="keyword">const</span> std::vector<std::reference_wrapper<TensorInfo>> outputPtrs(outputs.begin(), outputs.end());</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span> </div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  result = layerSupportObject->IsSplitterSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  outputPtrs,</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  reason);</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  }</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">LayerType::Stack</a>:</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  {</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const StackLayer*>(&layer);</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span> </div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  <span class="comment">// Get vector of all inputs.</span></div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <span class="keyword">auto</span> getTensorInfo = [&dataType](<span class="keyword">const</span> InputSlot& slot)</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  {</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <span class="keywordflow">return</span> OverrideDataType(slot.GetConnectedOutputSlot()->GetTensorInfo(), dataType);</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  };</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  <span class="keyword">auto</span> beginI = boost::make_transform_iterator(layer.GetInputSlots().begin(), getTensorInfo);</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  <span class="keyword">auto</span> endI = boost::make_transform_iterator(layer.GetInputSlots().end(), getTensorInfo);</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  std::vector<TensorInfo> inputs(beginI, endI);</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span> </div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  <span class="keyword">auto</span> getTensorInfoPtr = [](<span class="keyword">const</span> TensorInfo& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  {</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  <span class="keywordflow">return</span> &<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  };</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  <span class="keyword">auto</span> beginPtr = boost::make_transform_iterator(inputs.begin(), getTensorInfoPtr);</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  <span class="keyword">auto</span> endPtr = boost::make_transform_iterator(inputs.end(), getTensorInfoPtr);</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  std::vector<const TensorInfo*> inputPtrs(beginPtr, endPtr);</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span> </div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span> </div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  result = layerSupportObject->IsStackSupported(inputPtrs, output, cLayer->GetParameters(), reason);</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span> </div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  }</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99">LayerType::StandIn</a>:</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  {</div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const StandInLayer*>(&layer);</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span> </div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  <span class="comment">// Get vector of all inputs.</span></div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  <span class="keyword">auto</span> getTensorInfoIn = [&dataType](<span class="keyword">const</span> InputSlot& slot)</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  {</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <span class="keywordflow">return</span> OverrideDataType(slot.GetConnectedOutputSlot()->GetTensorInfo(), dataType);</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  };</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  <span class="keyword">auto</span> getTensorInfoOut = [&dataType](<span class="keyword">const</span> OutputSlot& slot)</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  {</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  <span class="keywordflow">return</span> OverrideDataType(slot.GetTensorInfo(), dataType);</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  };</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  <span class="keyword">auto</span> beginI = boost::make_transform_iterator(layer.GetInputSlots().begin(), getTensorInfoIn);</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  <span class="keyword">auto</span> endI = boost::make_transform_iterator(layer.GetInputSlots().end(), getTensorInfoIn);</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  std::vector<TensorInfo> inputs(beginI, endI);</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span> </div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  <span class="keyword">auto</span> beginO = boost::make_transform_iterator(layer.GetOutputSlots().begin(), getTensorInfoOut);</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <span class="keyword">auto</span> endO = boost::make_transform_iterator(layer.GetOutputSlots().end(), getTensorInfoOut);</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  std::vector<TensorInfo> outputs(beginO, endO);</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span> </div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span> </div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  <span class="keyword">auto</span> getTensorInfoPtr = [](<span class="keyword">const</span> TensorInfo& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  {</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  <span class="keywordflow">return</span> &<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  };</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  <span class="keyword">auto</span> beginPtrI = boost::make_transform_iterator(inputs.begin(), getTensorInfoPtr);</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  <span class="keyword">auto</span> endPtrI = boost::make_transform_iterator(inputs.end(), getTensorInfoPtr);</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  std::vector<const TensorInfo*> inputPtrs(beginPtrI, endPtrI);</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span> </div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <span class="keyword">auto</span> beginPtrO = boost::make_transform_iterator(outputs.begin(), getTensorInfoPtr);</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <span class="keyword">auto</span> endPtrO = boost::make_transform_iterator(outputs.end(), getTensorInfoPtr);</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  std::vector<const TensorInfo*> outputPtrs(beginPtrO, endPtrO);</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span> </div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span> </div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  result = layerSupportObject->IsStandInSupported(inputPtrs,</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  outputPtrs,</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  reason);</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  }</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">LayerType::StridedSlice</a>:</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  {</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const StridedSliceLayer*>(&layer);</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  result = layerSupportObject->IsStridedSliceSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  reason);</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  }</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>:</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  {</div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  result = layerSupportObject->IsSubtractionSupported(</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  OverrideDataType(input0, dataType),</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  reason);</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  }</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b">LayerType::Switch</a>:</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  {</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  <span class="keyword">const</span> TensorInfo& output0 = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  <span class="keyword">const</span> TensorInfo& output1 = layer.GetOutputSlot(1).GetTensorInfo();</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  result = layerSupportObject->IsSwitchSupported(OverrideDataType(input0, dataType),</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  OverrideDataType(output0, dataType),</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  OverrideDataType(output1, dataType),</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  reason);</div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  }</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">LayerType::Mean</a>:</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  {</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const MeanLayer*>(&layer);</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  result = layerSupportObject->IsMeanSupported(</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  cLayer->GetParameters(),</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  reason);</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  }</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">LayerType::Minimum</a>:</div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  {</div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  result = layerSupportObject->IsMinimumSupported(OverrideDataType(input0, dataType),</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  reason);</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  }</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a>:</div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  {</div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <span class="keyword">const</span> TensorInfo& alpha = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  result = layerSupportObject->IsPreluSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  OverrideDataType(alpha, dataType),</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  reason);</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  }</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a>:</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  {</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const TransposeLayer*>(&layer);</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  result = layerSupportObject->IsTransposeSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  cLayer->GetParameters(),</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  reason);</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  }</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a>:</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  {</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const TransposeConvolution2dLayer*>(&layer);</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span> </div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <span class="keyword">const</span> TensorInfo input = OverrideDataType(layer.GetInputSlot(0).GetConnection()->GetTensorInfo(),</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  dataType);</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <span class="keyword">const</span> TensorInfo output = OverrideDataType(layer.GetOutputSlot(0).GetTensorInfo(), dataType);</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span> </div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  <span class="keyword">const</span> TransposeConvolution2dDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span> </div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  Optional<TensorInfo> biases;</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  {</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  BOOST_ASSERT(cLayer->m_Bias.get() != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  biases = OverrideDataType(cLayer->m_Bias->GetTensorInfo(),</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  <a class="code" href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">GetBiasTypeFromWeightsType</a>(dataType));</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  }</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span> </div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  BOOST_ASSERT(cLayer->m_Weight.get() != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <span class="keyword">const</span> TensorInfo weights = OverrideDataType(cLayer->m_Weight->GetTensorInfo(), dataType);</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> </div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  result = layerSupportObject->IsTransposeConvolution2dSupported(input,</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  output,</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  descriptor,</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  weights,</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  biases,</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  reason);</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span> </div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  }</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  {</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">"WorkloadFactory did not recognise type of layer."</span>);</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  reason.value() = <span class="stringliteral">"Unrecognised layer type"</span>;</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  result = <span class="keyword">false</span>;</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  }</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  }</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div></div> |
| 3114 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::LayerType::ElementwiseUnary</a></div></div> |
| 3115 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</a></div></div> |
| 3116 | <div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div> |
| 3117 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::LayerType::Comparison</a></div></div> |
| 3118 | <div class="ttc" id="namespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a></div></div> |
| 3119 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div></div> |
| 3120 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::LayerType::Stack</a></div></div> |
| 3121 | <div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> |
| 3122 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a></div></div> |
| 3123 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div></div> |
| 3124 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div></div> |
| 3125 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div></div> |
| 3126 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a></div></div> |
| 3127 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a></div></div> |
| 3128 | <div class="ttc" id="namespacearmnn_xhtml_ac2807505b850738bc8a1991ce669dd47"><div class="ttname"><a href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a></div><div class="ttdeci">BackendRegistry & BackendRegistryInstance()</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00013">BackendRegistry.cpp:13</a></div></div> |
| 3129 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div></div> |
| 3130 | <div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> |
| 3131 | <div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> |
| 3132 | <div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_ada422a73ac4e68bcb1b1b1f0b44028d9"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a></div><div class="ttdeci">std::vector< float > boxEncodings({ 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f })</div></div> |
| 3133 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div></div> |
| 3134 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a></div></div> |
| 3135 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::LayerType::Merge</a></div></div> |
| 3136 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a></div></div> |
| 3137 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a></div></div> |
| 3138 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a></div></div> |
| 3139 | <div class="ttc" id="namespacearmnn_xhtml_a83c4a275acf59f62b8387f389d0929d5"><div class="ttname"><a href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">armnn::GetBiasTypeFromWeightsType</a></div><div class="ttdeci">armnn::Optional< armnn::DataType > GetBiasTypeFromWeightsType(armnn::Optional< armnn::DataType > weightsType)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00014">LayerSupportRules.hpp:14</a></div></div> |
| 3140 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div></div> |
| 3141 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div></div> |
| 3142 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div></div> |
| 3143 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::LayerType::Mean</a></div></div> |
| 3144 | <div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> |
| 3145 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::LayerType::Gather</a></div></div> |
| 3146 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div></div> |
| 3147 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div></div> |
| 3148 | <div class="ttc" id="namespacearmnn_xhtml_a93a3ba385cad27c4774e5fe64c025d3daa603905470e2a5b8c13e96b579ef0dba"><div class="ttname"><a href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3daa603905470e2a5b8c13e96b579ef0dba">armnn::LogSeverity::Debug</a></div></div> |
| 3149 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div></div> |
| 3150 | <div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> |
| 3151 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div></div> |
| 3152 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a></div></div> |
| 3153 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::LayerType::Maximum</a></div></div> |
| 3154 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">armnn::LayerType::PreCompiled</a></div></div> |
| 3155 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div></div> |
| 3156 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div></div> |
| 3157 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div></div> |
| 3158 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a></div></div> |
| 3159 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div> |
| 3160 | <div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> |
| 3161 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a></div></div> |
| 3162 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div></div> |
| 3163 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div></div> |
| 3164 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99">armnn::LayerType::StandIn</a></div></div> |
| 3165 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div></div> |
| 3166 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::LayerType::Splitter</a></div></div> |
| 3167 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b">armnn::LayerType::Switch</a></div></div> |
| 3168 | <div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_a0348e6bb67ace72535bd105219bb6237"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a></div><div class="ttdeci">std::vector< float > scores({ 0.0f, 0.9f, 0.8f, 0.0f, 0.75f, 0.72f, 0.0f, 0.6f, 0.5f, 0.0f, 0.93f, 0.95f, 0.0f, 0.5f, 0.4f, 0.0f, 0.3f, 0.2f })</div></div> |
| 3169 | <div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> |
| 3170 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::LayerType::QuantizedLstm</a></div></div> |
| 3171 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::LayerType::ArgMinMax</a></div></div> |
| 3172 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div> |
| 3173 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::LayerType::Lstm</a></div></div> |
| 3174 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div></div> |
| 3175 | <div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> |
| 3176 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div></div> |
| 3177 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::LayerType::FakeQuantization</a></div></div> |
| 3178 | <div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> |
| 3179 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</a></div></div> |
| 3180 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::LayerType::Minimum</a></div></div> |
| 3181 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a></div></div> |
| 3182 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::LayerType::Slice</a></div></div> |
| 3183 | <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div></div> |
| 3184 | <div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_ac0981848e4ae57729f14f72bd4caa9f8"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a></div><div class="ttdeci">std::vector< float > anchors({ 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 10.5f, 1.0f, 1.0f, 0.5f, 10.5f, 1.0f, 1.0f, 0.5f, 100.5f, 1.0f, 1.0f })</div></div> |
| 3185 | </div><!-- fragment --> |
| 3186 | </div> |
| 3187 | </div> |
| 3188 | <a id="a7d94ea841143b76fe08ccb308839bfd7"></a> |
| 3189 | <h2 class="memtitle"><span class="permalink"><a href="#a7d94ea841143b76fe08ccb308839bfd7">◆ </a></span>IsLayerSupported() <span class="overload">[2/2]</span></h2> |
| 3190 | |
| 3191 | <div class="memitem"> |
| 3192 | <div class="memproto"> |
| 3193 | <table class="mlabels"> |
| 3194 | <tr> |
| 3195 | <td class="mlabels-left"> |
| 3196 | <table class="memname"> |
| 3197 | <tr> |
| 3198 | <td class="memname">bool IsLayerSupported </td> |
| 3199 | <td>(</td> |
| 3200 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a> & </td> |
| 3201 | <td class="paramname"><em>layer</em>, </td> |
| 3202 | </tr> |
| 3203 | <tr> |
| 3204 | <td class="paramkey"></td> |
| 3205 | <td></td> |
| 3206 | <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > </td> |
| 3207 | <td class="paramname"><em>dataType</em>, </td> |
| 3208 | </tr> |
| 3209 | <tr> |
| 3210 | <td class="paramkey"></td> |
| 3211 | <td></td> |
| 3212 | <td class="paramtype">std::string & </td> |
| 3213 | <td class="paramname"><em>outReasonIfUnsupported</em> </td> |
| 3214 | </tr> |
| 3215 | <tr> |
| 3216 | <td></td> |
| 3217 | <td>)</td> |
| 3218 | <td></td><td></td> |
| 3219 | </tr> |
| 3220 | </table> |
| 3221 | </td> |
| 3222 | <td class="mlabels-right"> |
| 3223 | <span class="mlabels"><span class="mlabel">static</span></span> </td> |
| 3224 | </tr> |
| 3225 | </table> |
| 3226 | </div><div class="memdoc"> |
| 3227 | |
| 3228 | <p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01084">1084</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> |
| 3229 | |
| 3230 | <p class="reference">References <a class="el" href="_workload_factory_8cpp_source.xhtml#l00045">IWorkloadFactory::IsLayerSupported()</a>.</p> |
| 3231 | <div class="fragment"><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span> {</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <span class="keyword">auto</span> layer = boost::polymorphic_downcast<const Layer*>(&connectableLayer);</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">IsLayerSupported</a>(layer->GetBackendId(), connectableLayer, dataType, outReasonIfUnsupported);</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span> }</div><div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a74dc9ec1a223eab8b072368b2dacee87"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">armnn::IWorkloadFactory::IsLayerSupported</a></div><div class="ttdeci">static bool IsLayerSupported(const BackendId &backendId, const IConnectableLayer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l00045">WorkloadFactory.cpp:45</a></div></div> |
| 3232 | </div><!-- fragment --> |
| 3233 | </div> |
| 3234 | </div> |
| 3235 | <a id="a37f4eba7877deb34f4d8d64c9bcb9ab5"></a> |
| 3236 | <h2 class="memtitle"><span class="permalink"><a href="#a37f4eba7877deb34f4d8d64c9bcb9ab5">◆ </a></span>SupportsSubTensors()</h2> |
| 3237 | |
| 3238 | <div class="memitem"> |
| 3239 | <div class="memproto"> |
| 3240 | <table class="mlabels"> |
| 3241 | <tr> |
| 3242 | <td class="mlabels-left"> |
| 3243 | <table class="memname"> |
| 3244 | <tr> |
| 3245 | <td class="memname">virtual bool SupportsSubTensors </td> |
| 3246 | <td>(</td> |
| 3247 | <td class="paramname"></td><td>)</td> |
| 3248 | <td> const</td> |
| 3249 | </tr> |
| 3250 | </table> |
| 3251 | </td> |
| 3252 | <td class="mlabels-right"> |
| 3253 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 3254 | </tr> |
| 3255 | </table> |
| 3256 | </div><div class="memdoc"> |
| 3257 | |
| 3258 | <p>Implemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aed0a782f32856bde72bc10d9381dc11e">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#aed0a782f32856bde72bc10d9381dc11e">SampleDynamicWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aed0a782f32856bde72bc10d9381dc11e">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aed0a782f32856bde72bc10d9381dc11e">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#aed0a782f32856bde72bc10d9381dc11e">WorkloadFactoryBase</a>.</p> |
| 3259 | |
| 3260 | <p class="reference">Referenced by <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l01916">ConcatDifferentInputOutputQParamTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00272">Concatenate()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02072">ConcatTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02635">ConcatUint16Test()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02352">ConcatUint8DifferentQParamsTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02497">ConcatUint8Test()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> |
| 3261 | |
| 3262 | </div> |
| 3263 | </div> |
| 3264 | <hr/>The documentation for this class was generated from the following files:<ul> |
| 3265 | <li>src/backends/backendsCommon/<a class="el" href="_workload_factory_8hpp_source.xhtml">WorkloadFactory.hpp</a></li> |
| 3266 | <li>src/backends/backendsCommon/<a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a></li> |
| 3267 | </ul> |
| 3268 | </div><!-- contents --> |
| 3269 | </div><!-- doc-content --> |
| 3270 | <!-- start footer part --> |
| 3271 | <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| 3272 | <ul> |
| 3273 | <li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a></li> |
| 3274 | <li class="footer">Generated on Fri Mar 13 2020 16:09:18 for ArmNN by |
| 3275 | <a href="http://www.doxygen.org/index.html"> |
| 3276 | <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> |
| 3277 | </ul> |
| 3278 | </div> |
| 3279 | </body> |
| 3280 | </html> |