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| <a href="#pub-methods">Public Member Functions</a> | |
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| <p><code>#include <<a class="el" href="_neon_workload_factory_8hpp_source.html">NeonWorkloadFactory.hpp</a>></code></p> |
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| Inheritance diagram for NeonWorkloadFactory:</div> |
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| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| Public Member Functions</h2></td></tr> |
| <tr class="memitem:a19a681524fa55169540fcccb9dcefaa6"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.html#a19a681524fa55169540fcccb9dcefaa6">NeonWorkloadFactory</a> (const std::shared_ptr< <a class="el" href="classarmnn_1_1_neon_memory_manager.html">NeonMemoryManager</a> > &memoryManager)</td></tr> |
| <tr class="separator:a19a681524fa55169540fcccb9dcefaa6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4fd94de07f659ca8fac3dcb7440c8469"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.html#a4fd94de07f659ca8fac3dcb7440c8469">NeonWorkloadFactory</a> (const std::shared_ptr< <a class="el" href="classarmnn_1_1_neon_memory_manager.html">NeonMemoryManager</a> > &memoryManager, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a> &modelContextPtr)</td></tr> |
| <tr class="separator:a4fd94de07f659ca8fac3dcb7440c8469"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae2cd7e29596b68884bfaade25f8f0dc0"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.html#ae2cd7e29596b68884bfaade25f8f0dc0">GetBackendId</a> () const override</td></tr> |
| <tr class="separator:ae2cd7e29596b68884bfaade25f8f0dc0"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aed0a782f32856bde72bc10d9381dc11e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.html#aed0a782f32856bde72bc10d9381dc11e">SupportsSubTensors</a> () const override</td></tr> |
| <tr class="separator:aed0a782f32856bde72bc10d9381dc11e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abefb9df9d7a54cf2f82047ea350d0388"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.html#abefb9df9d7a54cf2f82047ea350d0388">CreateSubTensorHandle</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> &parent, <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> const &subTensorShape, unsigned int const *subTensorOrigin) const override</td></tr> |
| <tr class="separator:abefb9df9d7a54cf2f82047ea350d0388"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7239477811c44d4398f0c2d291d9ea76"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.html#a7239477811c44d4398f0c2d291d9ea76">CreateTensorHandle</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &tensorInfo, const bool IsMemoryManaged=true) const override</td></tr> |
| <tr class="separator:a7239477811c44d4398f0c2d291d9ea76"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aaed323bbcbaded57334783e4732ee3ed"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.html#aaed323bbcbaded57334783e4732ee3ed">CreateTensorHandle</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &tensorInfo, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout, const bool IsMemoryManaged=true) const override</td></tr> |
| <tr class="separator:aaed323bbcbaded57334783e4732ee3ed"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a739bcc341b89c98a5d38717370ebcaa6"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.html#a739bcc341b89c98a5d38717370ebcaa6">CreateWorkload</a> (<a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, const <a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &info) const override</td></tr> |
| <tr class="memdesc:a739bcc341b89c98a5d38717370ebcaa6"><td class="mdescLeft"> </td><td class="mdescRight">Backends should implement their own CreateWorkload function with a switch statement. <a href="classarmnn_1_1_neon_workload_factory.html#a739bcc341b89c98a5d38717370ebcaa6">More...</a><br /></td></tr> |
| <tr class="separator:a739bcc341b89c98a5d38717370ebcaa6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarmnn_1_1_i_workload_factory"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_i_workload_factory')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a></td></tr> |
| <tr class="memitem:aab62208f96483015c29ad58549efedd8 inherit pub_methods_classarmnn_1_1_i_workload_factory"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.html#aab62208f96483015c29ad58549efedd8">~IWorkloadFactory</a> ()</td></tr> |
| <tr class="separator:aab62208f96483015c29ad58549efedd8 inherit pub_methods_classarmnn_1_1_i_workload_factory"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a54a596adc0162c80f33a6cda4f33a6ef inherit pub_methods_classarmnn_1_1_i_workload_factory"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.html#a54a596adc0162c80f33a6cda4f33a6ef">AfterWorkloadsCreated</a> ()</td></tr> |
| <tr class="separator:a54a596adc0162c80f33a6cda4f33a6ef inherit pub_methods_classarmnn_1_1_i_workload_factory"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a> |
| Static Public Member Functions</h2></td></tr> |
| <tr class="memitem:a9992ea7c353e8597fbd8ae426f4612ae"><td class="memItemLeft" align="right" valign="top">static bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.html#a9992ea7c353e8597fbd8ae426f4612ae">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_layer.html">Layer</a> &layer, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported)</td></tr> |
| <tr class="separator:a9992ea7c353e8597fbd8ae426f4612ae"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aeaff50773427132e1066a7de56a53db1"><td class="memItemLeft" align="right" valign="top">static bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.html#aeaff50773427132e1066a7de56a53db1">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a> &layer, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported, const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &modelOptions)</td></tr> |
| <tr class="separator:aeaff50773427132e1066a7de56a53db1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_static_methods_classarmnn_1_1_i_workload_factory"><td colspan="2" onclick="javascript:toggleInherit('pub_static_methods_classarmnn_1_1_i_workload_factory')"><img src="closed.png" alt="-"/> Static Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a></td></tr> |
| <tr class="memitem:a74dc9ec1a223eab8b072368b2dacee87 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><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.html#a74dc9ec1a223eab8b072368b2dacee87">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &backendId, const <a class="el" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a> &layer, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported)</td></tr> |
| <tr class="separator:a74dc9ec1a223eab8b072368b2dacee87 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7d94ea841143b76fe08ccb308839bfd7 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><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.html#a7d94ea841143b76fe08ccb308839bfd7">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a> &layer, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported)</td></tr> |
| <tr class="separator:a7d94ea841143b76fe08ccb308839bfd7 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aeaff50773427132e1066a7de56a53db1 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><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.html#aeaff50773427132e1066a7de56a53db1">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a> &layer, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported, const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &modelOptions)</td></tr> |
| <tr class="separator:aeaff50773427132e1066a7de56a53db1 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a52ba8d60c6582a847ef7bc914116d394 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><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.html#a52ba8d60c6582a847ef7bc914116d394">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &backendId, const <a class="el" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a> &layer, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported, const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &modelOptions)</td></tr> |
| <tr class="separator:a52ba8d60c6582a847ef7bc914116d394 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"> |
| <p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8hpp_source.html#l00020">20</a> of file <a class="el" href="_neon_workload_factory_8hpp_source.html">NeonWorkloadFactory.hpp</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="a19a681524fa55169540fcccb9dcefaa6"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a19a681524fa55169540fcccb9dcefaa6">◆ </a></span>NeonWorkloadFactory() <span class="overload">[1/2]</span></h2> |
| |
| <div class="memitem"> |
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| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarmnn_1_1_neon_workload_factory.html">NeonWorkloadFactory</a> </td> |
| <td>(</td> |
| <td class="paramtype">const std::shared_ptr< <a class="el" href="classarmnn_1_1_neon_memory_manager.html">NeonMemoryManager</a> > & </td> |
| <td class="paramname"><em>memoryManager</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.html#l00073">73</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.html">NeonWorkloadFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  : m_MemoryManager(memoryManager), m_ModelContextPtr(<a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a>{})</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span> {</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  SetNumberOfThreads();</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a4fd94de07f659ca8fac3dcb7440c8469"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a4fd94de07f659ca8fac3dcb7440c8469">◆ </a></span>NeonWorkloadFactory() <span class="overload">[2/2]</span></h2> |
| |
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| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarmnn_1_1_neon_workload_factory.html">NeonWorkloadFactory</a> </td> |
| <td>(</td> |
| <td class="paramtype">const std::shared_ptr< <a class="el" href="classarmnn_1_1_neon_memory_manager.html">NeonMemoryManager</a> > & </td> |
| <td class="paramname"><em>memoryManager</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a> & </td> |
| <td class="paramname"><em>modelContextPtr</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.html#l00079">79</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.html">NeonWorkloadFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  : m_MemoryManager(memoryManager), m_ModelContextPtr(modelContextPtr)</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>  SetNumberOfThreads();</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span> }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="abefb9df9d7a54cf2f82047ea350d0388"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#abefb9df9d7a54cf2f82047ea350d0388">◆ </a></span>CreateSubTensorHandle()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
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| <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> > CreateSubTensorHandle </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> & </td> |
| <td class="paramname"><em>parent</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> const & </td> |
| <td class="paramname"><em>subTensorShape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int const * </td> |
| <td class="paramname"><em>subTensorOrigin</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_workload_factory_base.html#a99251f9711c087d7c1b5a08236ef0201">WorkloadFactoryBase</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.html#l00086">86</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.html">NeonWorkloadFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> {</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">const</span> arm_compute::TensorShape shape = armcomputetensorutils::BuildArmComputeTensorShape(subTensorShape);</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  </div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> coords;</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  coords.set_num_dimensions(subTensorShape.GetNumDimensions());</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < subTensorShape.GetNumDimensions(); i++)</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// Arm compute indexes tensor coords in reverse order.</span></div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> revertedIndex = subTensorShape.GetNumDimensions() - i - 1;</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  coords.set(i, armnn::numeric_cast<int>(subTensorOrigin[revertedIndex]));</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>  </div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">const</span> arm_compute::TensorShape parentShape = armcomputetensorutils::BuildArmComputeTensorShape(parent.GetShape());</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">if</span> (!::arm_compute::error_on_invalid_subtensor(__func__, __FILE__, __LINE__, parentShape, coords, shape))</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  {</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  </div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">return</span> std::make_unique<NeonSubTensorHandle>(</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  PolymorphicDowncast<IAclTensorHandle*>(&parent), shape, coords);</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span> }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a7239477811c44d4398f0c2d291d9ea76"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a7239477811c44d4398f0c2d291d9ea76">◆ </a></span>CreateTensorHandle() <span class="overload">[1/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
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| <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> > CreateTensorHandle </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> |
| <td class="paramname"><em>tensorInfo</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const bool </td> |
| <td class="paramname"><em>IsMemoryManaged</em> = <code>true</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_workload_factory_base.html#a526eaec84398bc8067f407769b31f4a9">WorkloadFactoryBase</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.html#l00111">111</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.html">NeonWorkloadFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> {</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">auto</span> tensorHandle = std::make_unique<NeonTensorHandle>(tensorInfo);</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">if</span> (IsMemoryManaged)</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  tensorHandle->SetMemoryGroup(m_MemoryManager->GetInterLayerMemoryGroup());</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">return</span> tensorHandle;</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span> }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="aaed323bbcbaded57334783e4732ee3ed"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aaed323bbcbaded57334783e4732ee3ed">◆ </a></span>CreateTensorHandle() <span class="overload">[2/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> > CreateTensorHandle </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> & </td> |
| <td class="paramname"><em>tensorInfo</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> </td> |
| <td class="paramname"><em>dataLayout</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const bool </td> |
| <td class="paramname"><em>IsMemoryManaged</em> = <code>true</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_workload_factory_base.html#a68f34fb8ec9a7921a1f6c17b4f5312e6">WorkloadFactoryBase</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.html#l00122">122</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.html">NeonWorkloadFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> {</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">auto</span> tensorHandle = std::make_unique<NeonTensorHandle>(tensorInfo, dataLayout);</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">if</span> (IsMemoryManaged)</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>  tensorHandle->SetMemoryGroup(m_MemoryManager->GetInterLayerMemoryGroup());</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="keywordflow">return</span> tensorHandle;</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span> }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a739bcc341b89c98a5d38717370ebcaa6"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a739bcc341b89c98a5d38717370ebcaa6">◆ </a></span>CreateWorkload()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a> > CreateWorkload </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> </td> |
| <td class="paramname"><em>type</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> & </td> |
| <td class="paramname"><em>descriptor</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> & </td> |
| <td class="paramname"><em>info</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Backends should implement their own CreateWorkload function with a switch statement. </p> |
| <p>The case for the switch should be the LayerType and based on that they will call their specific workload creation functionality. </p> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_workload_factory_base.html#a30b9965b6bce898c027235de615e2331">WorkloadFactoryBase</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.html#l00134">134</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.html">NeonWorkloadFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> {</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">switch</span>(type)</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a> :</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  {</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">auto</span> activationQueueDescriptor = PolymorphicDowncast<const ActivationQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">return</span> std::make_unique<NeonActivationWorkload>(*activationQueueDescriptor, info);</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a> :</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  {</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">auto</span> additionQueueDescriptor = PolymorphicDowncast<const AdditionQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">return</span> std::make_unique<NeonAdditionWorkload>(*additionQueueDescriptor, info);</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">LayerType::ArgMinMax</a> :</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">auto</span> argMinMaxQueueDescriptor = PolymorphicDowncast<const ArgMinMaxQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span> std::make_unique<NeonArgMinMaxWorkload>(*argMinMaxQueueDescriptor, info);</div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  }</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">LayerType::BatchMatMul</a> :</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  {</div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">auto</span> batchMatMulQueueDescriptor = PolymorphicDowncast<const BatchMatMulQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">if</span> (m_ModelContextPtr)</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">if</span> (m_ModelContextPtr.get() != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  {</div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">auto</span> modelOptions = <span class="keyword">dynamic_cast<</span>NeonBackendModelContext*<span class="keyword">></span>(m_ModelContextPtr.get());</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">if</span> (modelOptions)</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {</div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  isFastMathEnabled = modelOptions->IsFastMathEnabled();</div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</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>  }</div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">return</span> std::make_unique<NeonBatchMatMulWorkload>(*batchMatMulQueueDescriptor, info, isFastMathEnabled);</div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a> :</div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">auto</span> batchNormalizationQueueDescriptor</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  = PolymorphicDowncast<const BatchNormalizationQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">return</span> std::make_unique<NeonBatchNormalizationWorkload>(*batchNormalizationQueueDescriptor, info);</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a> :</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">auto</span> batchToSpaceNdQueueDescriptor</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  = PolymorphicDowncast<const BatchToSpaceNdQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">return</span> std::make_unique<NeonBatchToSpaceNdWorkload>(*batchToSpaceNdQueueDescriptor, info);</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  }</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">LayerType::Cast</a> :</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  {</div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">auto</span> castQueueDescriptor = PolymorphicDowncast<const CastQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> std::make_unique<NeonCastWorkload>(*castQueueDescriptor, info);</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">LayerType::ChannelShuffle</a> :</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>  <span class="keyword">auto</span> channelShuffleQueueDescriptor = PolymorphicDowncast<const ChannelShuffleQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">return</span> std::make_unique<NeonChannelShuffleWorkload>(*channelShuffleQueueDescriptor, info);</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">LayerType::Comparison</a> :</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  {</div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">auto</span> comparisonQueueDescriptor = PolymorphicDowncast<const ComparisonQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">return</span> std::make_unique<NeonComparisonWorkload>(*comparisonQueueDescriptor, info);</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  }</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a> :</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  {</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">auto</span> concatQueueDescriptor = PolymorphicDowncast<const ConcatQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">return</span> std::make_unique<NeonConcatWorkload>(*concatQueueDescriptor, info);</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.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</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">auto</span> constantQueueDescriptor = PolymorphicDowncast<const ConstantQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">return</span> std::make_unique<NeonConstantWorkload>(*constantQueueDescriptor, info);</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a> :</div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  {</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">auto</span> convertFp16ToFp32QueueDescriptor</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  = PolymorphicDowncast<const ConvertFp16ToFp32QueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">return</span> std::make_unique<NeonConvertFp16ToFp32Workload>(*convertFp16ToFp32QueueDescriptor, info);</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  }</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a> :</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  {</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">auto</span> convertFp32ToFp16QueueDescriptor</div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  = PolymorphicDowncast<const ConvertFp32ToFp16QueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">return</span> std::make_unique<NeonConvertFp32ToFp16Workload>(*convertFp32ToFp16QueueDescriptor, info);</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  }</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a> :</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keyword">auto</span> convolution2dQueueDescriptor = PolymorphicDowncast<const Convolution2dQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">if</span> (m_ModelContextPtr)</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">if</span> (m_ModelContextPtr.get() != <span class="keyword">nullptr</span>)</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> modelOptions = <span class="keyword">dynamic_cast<</span>NeonBackendModelContext*<span class="keyword">></span>(m_ModelContextPtr.get());</div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">if</span> (modelOptions)</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  {</div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  isFastMathEnabled = modelOptions->IsFastMathEnabled();</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</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>  }</div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">return</span> std::make_unique<NeonConvolution2dWorkload>(*convolution2dQueueDescriptor,</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  info,</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  m_MemoryManager->GetIntraLayerManager(),</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  isFastMathEnabled);</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a> :</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keyword">auto</span> convolution3dQueueDescriptor = PolymorphicDowncast<const Convolution3dQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">if</span> (m_ModelContextPtr)</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  {</div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">if</span> (m_ModelContextPtr.get() != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  {</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keyword">auto</span> modelOptions = <span class="keyword">dynamic_cast<</span>NeonBackendModelContext*<span class="keyword">></span>(m_ModelContextPtr.get());</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">if</span> (modelOptions)</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  {</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  isFastMathEnabled = modelOptions->IsFastMathEnabled();</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>  }</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="keywordflow">return</span> std::make_unique<NeonConvolution3dWorkload>(*convolution3dQueueDescriptor,</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  info,</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  m_MemoryManager->GetIntraLayerManager(),</div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  isFastMathEnabled);</div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  }</div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">LayerType::Debug</a> :</div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  {</div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">auto</span> debugQueueDescriptor = PolymorphicDowncast<const DebugQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NullWorkload, NullWorkload>(*debugQueueDescriptor, info);</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">LayerType::DepthToSpace</a> :</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  {</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keyword">auto</span> depthToSpaceQueueDescriptor = PolymorphicDowncast<const DepthToSpaceQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">return</span> std::make_unique<NeonDepthToSpaceWorkload>(*depthToSpaceQueueDescriptor, info);</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a> :</div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">auto</span> depthwiseConvolution2dQueueDescriptor</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  = PolymorphicDowncast<const DepthwiseConvolution2dQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">return</span> std::make_unique<NeonDepthwiseConvolutionWorkload>(*depthwiseConvolution2dQueueDescriptor, info);</div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  }</div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">LayerType::Dequantize</a> :</div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  {</div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keyword">auto</span> dequantizeQueueDescriptor = PolymorphicDowncast<const DequantizeQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">return</span> std::make_unique<NeonDequantizeWorkload>(*dequantizeQueueDescriptor, info);</div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a> :</div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  {</div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keyword">auto</span> detectionPostProcessQueueDescriptor</div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  = PolymorphicDowncast<const DetectionPostProcessQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NullWorkload, NullWorkload>(*detectionPostProcessQueueDescriptor, info);</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.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</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> divisionQueueDescriptor = PolymorphicDowncast<const DivisionQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">return</span> std::make_unique<NeonDivisionWorkload>(*divisionQueueDescriptor, info);</div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  }</div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a> :</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>  <span class="keyword">auto</span> elementwiseBinaryQueueDescriptor</div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  = PolymorphicDowncast<const ElementwiseBinaryQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">switch</span> (elementwiseBinaryQueueDescriptor->m_Parameters.m_Operation)</div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  {</div> |
| <div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>:</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>  AdditionQueueDescriptor additionQueueDescriptor;</div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  additionQueueDescriptor.m_Inputs = descriptor.m_Inputs;</div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  additionQueueDescriptor.m_Outputs = descriptor.m_Outputs;</div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">return</span> std::make_unique<NeonAdditionWorkload>(additionQueueDescriptor, info);</div> |
| <div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  }</div> |
| <div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>:</div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  {</div> |
| <div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  DivisionQueueDescriptor divisionQueueDescriptor;</div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  divisionQueueDescriptor.m_Inputs = descriptor.m_Inputs;</div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  divisionQueueDescriptor.m_Outputs = descriptor.m_Outputs;</div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">return</span> std::make_unique<NeonDivisionWorkload>(divisionQueueDescriptor, info);</div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  }</div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">BinaryOperation::Maximum</a>:</div> |
| <div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  {</div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  MaximumQueueDescriptor maximumQueueDescriptor;</div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  maximumQueueDescriptor.m_Inputs = descriptor.m_Inputs;</div> |
| <div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  maximumQueueDescriptor.m_Outputs = descriptor.m_Outputs;</div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">return</span> std::make_unique<NeonMaximumWorkload>(maximumQueueDescriptor, info);</div> |
| <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  }</div> |
| <div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">BinaryOperation::Minimum</a>:</div> |
| <div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  {</div> |
| <div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  MinimumQueueDescriptor minimumQueueDescriptor;</div> |
| <div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  minimumQueueDescriptor.m_Inputs = descriptor.m_Inputs;</div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  minimumQueueDescriptor.m_Outputs = descriptor.m_Outputs;</div> |
| <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">return</span> std::make_unique<NeonMinimumWorkload>(minimumQueueDescriptor, info);</div> |
| <div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  }</div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>:</div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  {</div> |
| <div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  MultiplicationQueueDescriptor multiplicationQueueDescriptor;</div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  multiplicationQueueDescriptor.m_Inputs = descriptor.m_Inputs;</div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  multiplicationQueueDescriptor.m_Outputs = descriptor.m_Outputs;</div> |
| <div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">return</span> std::make_unique<NeonMultiplicationWorkload>(multiplicationQueueDescriptor, info);</div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  }</div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de">BinaryOperation::Power</a>:</div> |
| <div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53">BinaryOperation::SqDiff</a>:</div> |
| <div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  {</div> |
| <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">return</span> std::make_unique<NeonElementwiseBinaryWorkload>(*elementwiseBinaryQueueDescriptor, info);</div> |
| <div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  }</div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>:</div> |
| <div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  {</div> |
| <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  SubtractionQueueDescriptor subtractionQueueDescriptor;</div> |
| <div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  subtractionQueueDescriptor.m_Inputs = descriptor.m_Inputs;</div> |
| <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  subtractionQueueDescriptor.m_Outputs = descriptor.m_Outputs;</div> |
| <div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">return</span> std::make_unique<NeonSubtractionWorkload>(subtractionQueueDescriptor, info);</div> |
| <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  }</div> |
| <div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00348"></a><span class="lineno"> 348</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.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</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>  <span class="keyword">auto</span> elementwiseUnaryQueueDescriptor</div> |
| <div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  = PolymorphicDowncast<const ElementwiseUnaryQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">switch</span>(elementwiseUnaryQueueDescriptor->m_Parameters.m_Operation)</div> |
| <div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  {</div> |
| <div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a1e34af023adeb7d5f484f8eb4b9826b6">UnaryOperation::Abs</a>:</div> |
| <div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div> |
| <div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  AbsQueueDescriptor absQueueDescriptor;</div> |
| <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  absQueueDescriptor.m_Inputs = elementwiseUnaryQueueDescriptor->m_Inputs;</div> |
| <div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  absQueueDescriptor.m_Outputs = elementwiseUnaryQueueDescriptor->m_Outputs;</div> |
| <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">return</span> std::make_unique<NeonAbsWorkload>(absQueueDescriptor, info);</div> |
| <div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div> |
| <div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0">UnaryOperation::Exp</a>:</div> |
| <div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">return</span> std::make_unique<NeonExpWorkload>(*elementwiseUnaryQueueDescriptor, info);</div> |
| <div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">UnaryOperation::LogicalNot</a>:</div> |
| <div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogicalNotWorkload>(*elementwiseUnaryQueueDescriptor, info);</div> |
| <div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b">UnaryOperation::Log</a>:</div> |
| <div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogWorkload>(*elementwiseUnaryQueueDescriptor, info);</div> |
| <div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd">UnaryOperation::Neg</a>:</div> |
| <div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">return</span> std::make_unique<NeonNegWorkload>(*elementwiseUnaryQueueDescriptor, info);</div> |
| <div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">UnaryOperation::Rsqrt</a>:</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>  RsqrtQueueDescriptor rsqrtQueueDescriptor;</div> |
| <div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  rsqrtQueueDescriptor.m_Inputs = elementwiseUnaryQueueDescriptor->m_Inputs;</div> |
| <div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  rsqrtQueueDescriptor.m_Outputs = elementwiseUnaryQueueDescriptor->m_Outputs;</div> |
| <div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordflow">return</span> std::make_unique<NeonRsqrtWorkload>(rsqrtQueueDescriptor, info);</div> |
| <div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  }</div> |
| <div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd">UnaryOperation::Sin</a>:</div> |
| <div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">return</span> std::make_unique<NeonSinWorkload>(*elementwiseUnaryQueueDescriptor, info);</div> |
| <div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8aae77f3ad25595e35b327334d89410054">UnaryOperation::Sqrt</a>:</div> |
| <div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordflow">return</span> std::make_unique<NeonSqrtWorkload>(*elementwiseUnaryQueueDescriptor, info);</div> |
| <div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">LayerType::Fill</a> :</div> |
| <div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  {</div> |
| <div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keyword">auto</span> fillQueueDescriptor = PolymorphicDowncast<const FillQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">return</span> std::make_unique<NeonFillWorkload>(*fillQueueDescriptor, info);</div> |
| <div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div> |
| <div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</a> :</div> |
| <div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  {</div> |
| <div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keyword">auto</span> floorQueueDescriptor = PolymorphicDowncast<const FloorQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NeonFloorFloatWorkload, NullWorkload>(*floorQueueDescriptor, info);</div> |
| <div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  }</div> |
| <div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a> :</div> |
| <div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  {</div> |
| <div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keyword">auto</span> fullyConnectedQueueDescriptor = PolymorphicDowncast<const FullyConnectedQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordflow">return</span> std::make_unique<NeonFullyConnectedWorkload>(*fullyConnectedQueueDescriptor,</div> |
| <div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  info,</div> |
| <div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  m_MemoryManager->GetIntraLayerManager());</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af617f46b788e11a564cb16c9f5d59fea">LayerType::Fused</a> :</div> |
| <div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  {</div> |
| <div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">auto</span> fusedQueueDescriptor = PolymorphicDowncast<const FusedQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">return</span> std::make_unique<NeonFusedWorkload>(*fusedQueueDescriptor, info);</div> |
| <div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  }</div> |
| <div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">LayerType::Gather</a> :</div> |
| <div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  {</div> |
| <div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keyword">auto</span> gatherQueueDescriptor = PolymorphicDowncast<const GatherQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">return</span> std::make_unique<NeonGatherWorkload>(*gatherQueueDescriptor, info);</div> |
| <div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  }</div> |
| <div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">LayerType::GatherNd</a> :</div> |
| <div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  {</div> |
| <div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keyword">auto</span> gatherNdQueueDescriptor = PolymorphicDowncast<const GatherNdQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">return</span> std::make_unique<NeonGatherNdWorkload>(*gatherNdQueueDescriptor, info);</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a> :</div> |
| <div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  {</div> |
| <div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keyword">auto</span> inputQueueDescriptor = PolymorphicDowncast<const InputQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordflow">return</span> std::make_unique<CopyMemGenericWorkload>(*inputQueueDescriptor, info);</div> |
| <div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  }</div> |
| <div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">LayerType::InstanceNormalization</a> :</div> |
| <div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  {</div> |
| <div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keyword">auto</span> instanceNormalizationQueueDescriptor</div> |
| <div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  = PolymorphicDowncast<const InstanceNormalizationQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keywordflow">return</span> std::make_unique<NeonInstanceNormalizationWorkload>(*instanceNormalizationQueueDescriptor, info);</div> |
| <div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  }</div> |
| <div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">LayerType::L2Normalization</a> :</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="keyword">auto</span> l2NormalizationQueueDescriptor</div> |
| <div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  = PolymorphicDowncast<const L2NormalizationQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NeonL2NormalizationFloatWorkload, NullWorkload></div> |
| <div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  (*l2NormalizationQueueDescriptor, info, m_MemoryManager->GetIntraLayerManager());</div> |
| <div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  }</div> |
| <div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a> :</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>  <span class="keyword">auto</span> logSoftmaxQueueDescriptor = PolymorphicDowncast<const LogSoftmaxQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogSoftmaxWorkload>(*logSoftmaxQueueDescriptor,</div> |
| <div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  info,</div> |
| <div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  m_MemoryManager->GetIntraLayerManager());</div> |
| <div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  }</div> |
| <div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">LayerType::LogicalBinary</a> :</div> |
| <div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  {</div> |
| <div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keyword">auto</span> logicalBinaryQueueDescriptor = PolymorphicDowncast<const LogicalBinaryQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">switch</span>(logicalBinaryQueueDescriptor->m_Parameters.m_Operation)</div> |
| <div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  {</div> |
| <div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">LogicalBinaryOperation::LogicalAnd</a>:</div> |
| <div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogicalAndWorkload>(*logicalBinaryQueueDescriptor, info);</div> |
| <div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">LogicalBinaryOperation::LogicalOr</a>:</div> |
| <div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogicalOrWorkload>(*logicalBinaryQueueDescriptor, info);</div> |
| <div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  }</div> |
| <div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  }</div> |
| <div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">LayerType::Lstm</a> :</div> |
| <div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  {</div> |
| <div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keyword">auto</span> lstmQueueDescriptor = PolymorphicDowncast<const LstmQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NeonLstmFloatWorkload, NullWorkload>(*lstmQueueDescriptor, info);</div> |
| <div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  }</div> |
| <div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">LayerType::Maximum</a> :</div> |
| <div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  {</div> |
| <div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">auto</span> maximumQueueDescriptor = PolymorphicDowncast<const MaximumQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordflow">return</span> std::make_unique<NeonMaximumWorkload>(*maximumQueueDescriptor, info);</div> |
| <div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  }</div> |
| <div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">LayerType::Mean</a> :</div> |
| <div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  {</div> |
| <div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keyword">auto</span> meanQueueDescriptor = PolymorphicDowncast<const MeanQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordflow">return</span> std::make_unique<NeonMeanWorkload>(*meanQueueDescriptor, info);</div> |
| <div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  }</div> |
| <div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a> :</div> |
| <div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  {</div> |
| <div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keyword">auto</span> memCopyQueueDescriptor = PolymorphicDowncast<const MemCopyQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">if</span> (memCopyQueueDescriptor->m_Inputs.empty() || !memCopyQueueDescriptor->m_Inputs[0])</div> |
| <div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  {</div> |
| <div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"NeonWorkloadFactory: Invalid null input for MemCopy workload"</span>);</div> |
| <div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  }</div> |
| <div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<CopyMemGenericWorkload, CopyMemGenericWorkload>(*memCopyQueueDescriptor, info);</div> |
| <div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  }</div> |
| <div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a> :</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>  <span class="keyword">auto</span> memImportQueueDescriptor = PolymorphicDowncast<const MemImportQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">if</span> (memImportQueueDescriptor->m_Inputs.empty() || !memImportQueueDescriptor->m_Inputs[0])</div> |
| <div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  {</div> |
| <div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"NeonWorkloadFactory: Invalid null input for MemImport workload"</span>);</div> |
| <div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  }</div> |
| <div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keywordflow">return</span> std::make_unique<ImportMemGenericWorkload>(*memImportQueueDescriptor, info);</div> |
| <div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  }</div> |
| <div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">LayerType::Minimum</a> :</div> |
| <div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  {</div> |
| <div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keyword">auto</span> minimumQueueDescriptor = PolymorphicDowncast<const MinimumQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">return</span> std::make_unique<NeonMinimumWorkload>(*minimumQueueDescriptor, info);</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a> :</div> |
| <div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  {</div> |
| <div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keyword">auto</span> multiplicationQueueDescriptor = PolymorphicDowncast<const MultiplicationQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">return</span> std::make_unique<NeonMultiplicationWorkload>(*multiplicationQueueDescriptor, info);</div> |
| <div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  }</div> |
| <div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">LayerType::Normalization</a> :</div> |
| <div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  {</div> |
| <div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keyword">auto</span> normalizationQueueDescriptor = PolymorphicDowncast<const NormalizationQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NeonNormalizationFloatWorkload, NullWorkload></div> |
| <div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  (*normalizationQueueDescriptor, info, m_MemoryManager->GetIntraLayerManager());</div> |
| <div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  }</div> |
| <div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a> :</div> |
| <div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  {</div> |
| <div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keyword">auto</span> outputQueueDescriptor = PolymorphicDowncast<const OutputQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">return</span> std::make_unique<CopyMemGenericWorkload>(*outputQueueDescriptor, info);</div> |
| <div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  }</div> |
| <div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a> :</div> |
| <div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  {</div> |
| <div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keyword">auto</span> padQueueDescriptor = PolymorphicDowncast<const PadQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">return</span> std::make_unique<NeonPadWorkload>(*padQueueDescriptor, info);</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a> :</div> |
| <div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  {</div> |
| <div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keyword">auto</span> permuteQueueDescriptor = PolymorphicDowncast<const PermuteQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">return</span> std::make_unique<NeonPermuteWorkload>(*permuteQueueDescriptor, info);</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a> :</div> |
| <div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  {</div> |
| <div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keyword">auto</span> pooling2dQueueDescriptor = PolymorphicDowncast<const Pooling2dQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keywordflow">return</span> std::make_unique<NeonPooling2dWorkload>(*pooling2dQueueDescriptor, info);</div> |
| <div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  }</div> |
| <div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">LayerType::Pooling3d</a> :</div> |
| <div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  {</div> |
| <div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keyword">auto</span> pooling3dQueueDescriptor = PolymorphicDowncast<const Pooling3dQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keywordflow">return</span> std::make_unique<NeonPooling3dWorkload>(*pooling3dQueueDescriptor, info);</div> |
| <div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  }</div> |
| <div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">LayerType::PreCompiled</a> :</div> |
| <div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  {</div> |
| <div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keyword">auto</span> preCompiledQueueDescriptor = PolymorphicDowncast<const PreCompiledQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NullWorkload, NullWorkload>(*preCompiledQueueDescriptor, info);</div> |
| <div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  }</div> |
| <div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a> :</div> |
| <div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  {</div> |
| <div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keyword">auto</span> preluQueueDescriptor = PolymorphicDowncast<const PreluQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keywordflow">return</span> std::make_unique<NeonPreluWorkload>(*preluQueueDescriptor, info);</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a> :</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="keyword">auto</span> qLstmQueueDescriptor = PolymorphicDowncast<const QLstmQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keywordflow">return</span> std::make_unique<NeonQLstmWorkload>(*qLstmQueueDescriptor, info);</div> |
| <div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  }</div> |
| <div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">LayerType::Quantize</a> :</div> |
| <div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  {</div> |
| <div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keyword">auto</span> quantizeQueueDescriptor = PolymorphicDowncast<const QuantizeQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordflow">return</span> std::make_unique<NeonQuantizeWorkload>(*quantizeQueueDescriptor, info);</div> |
| <div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  }</div> |
| <div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a> :</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="keyword">auto</span> quantizedLstmQueueDescriptor = PolymorphicDowncast<const QuantizedLstmQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keywordflow">return</span> std::make_unique<NeonQuantizedLstmWorkload>(*quantizedLstmQueueDescriptor, info);</div> |
| <div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  }</div> |
| <div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">LayerType::Rank</a> :</div> |
| <div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  {</div> |
| <div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keyword">auto</span> rankQueueDescriptor = PolymorphicDowncast<const RankQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keywordflow">return</span> std::make_unique<NeonRankWorkload>(*rankQueueDescriptor, info);</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a> :</div> |
| <div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  {</div> |
| <div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keyword">auto</span> reduceQueueDescriptor = PolymorphicDowncast<const ReduceQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keywordflow">return</span> std::make_unique<NeonReduceWorkload>(*reduceQueueDescriptor, info);</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a> :</div> |
| <div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  {</div> |
| <div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keyword">auto</span> reshapeQueueDescriptor = PolymorphicDowncast<const ReshapeQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keywordflow">return</span> std::make_unique<NeonReshapeWorkload>(*reshapeQueueDescriptor, info);</div> |
| <div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  }</div> |
| <div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a> :</div> |
| <div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  {</div> |
| <div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keyword">auto</span> resizeQueueDescriptor = PolymorphicDowncast<const ResizeQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keywordflow">return</span> std::make_unique<NeonResizeWorkload>(*resizeQueueDescriptor, info);</div> |
| <div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  }</div> |
| <div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">LayerType::ReverseV2</a> :</div> |
| <div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  {</div> |
| <div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keyword">auto</span> reverseV2QueueDescriptor = PolymorphicDowncast<const ReverseV2QueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keywordflow">return</span> std::make_unique<NeonReverseV2Workload>(*reverseV2QueueDescriptor, info);</div> |
| <div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  }</div> |
| <div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">LayerType::Slice</a> :</div> |
| <div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  {</div> |
| <div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keyword">auto</span> sliceQueueDescriptor = PolymorphicDowncast<const SliceQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">return</span> std::make_unique<NeonSliceWorkload>(*sliceQueueDescriptor, info);</div> |
| <div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  }</div> |
| <div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a> :</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="keyword">auto</span> softmaxQueueDescriptor = PolymorphicDowncast<const SoftmaxQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">return</span> std::make_unique<NeonSoftmaxWorkload>(*softmaxQueueDescriptor,</div> |
| <div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  info,</div> |
| <div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  m_MemoryManager->GetIntraLayerManager());</div> |
| <div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  }</div> |
| <div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">LayerType::SpaceToBatchNd</a> :</div> |
| <div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  {</div> |
| <div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keyword">auto</span> spaceToBatchNdQueueDescriptor</div> |
| <div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  = PolymorphicDowncast<const SpaceToBatchNdQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">return</span> std::make_unique<NeonSpaceToBatchNdWorkload>(*spaceToBatchNdQueueDescriptor, info);</div> |
| <div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  }</div> |
| <div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">LayerType::SpaceToDepth</a> :</div> |
| <div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  {</div> |
| <div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keyword">auto</span> spaceToDepthQueueDescriptor = PolymorphicDowncast<const SpaceToDepthQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keywordflow">return</span> std::make_unique<NeonSpaceToDepthWorkload>(*spaceToDepthQueueDescriptor, info);</div> |
| <div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  }</div> |
| <div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">LayerType::Splitter</a> :</div> |
| <div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  {</div> |
| <div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keyword">auto</span> splitterQueueDescriptor = PolymorphicDowncast<const SplitterQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keywordflow">return</span> std::make_unique<NeonSplitterWorkload>(*splitterQueueDescriptor, info);</div> |
| <div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  }</div> |
| <div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">LayerType::Stack</a> :</div> |
| <div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  {</div> |
| <div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keyword">auto</span> stackQueueDescriptor = PolymorphicDowncast<const StackQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keywordflow">return</span> std::make_unique<NeonStackWorkload>(*stackQueueDescriptor, info);</div> |
| <div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  }</div> |
| <div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">LayerType::StridedSlice</a> :</div> |
| <div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  {</div> |
| <div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="keyword">auto</span> stridedSliceQueueDescriptor = PolymorphicDowncast<const StridedSliceQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="keywordflow">return</span> std::make_unique<NeonStridedSliceWorkload>(*stridedSliceQueueDescriptor, info);</div> |
| <div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  }</div> |
| <div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a> :</div> |
| <div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  {</div> |
| <div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keyword">auto</span> subtractionQueueDescriptor = PolymorphicDowncast<const SubtractionQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keywordflow">return</span> std::make_unique<NeonSubtractionWorkload>(*subtractionQueueDescriptor, info);</div> |
| <div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  }</div> |
| <div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">LayerType::Tile</a>:</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>  <span class="keyword">auto</span> tileQueueDescriptor = PolymorphicDowncast<const TileQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keywordflow">return</span> std::make_unique<NeonTileWorkload>(*tileQueueDescriptor, info);</div> |
| <div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  }</div> |
| <div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a> :</div> |
| <div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  {</div> |
| <div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keyword">auto</span> transposeQueueDescriptor = PolymorphicDowncast<const TransposeQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keywordflow">return</span> std::make_unique<NeonTransposeWorkload>(*transposeQueueDescriptor, info);</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a> :</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="keyword">auto</span> transposeConvolution2dQueueDescriptor</div> |
| <div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  = PolymorphicDowncast<const TransposeConvolution2dQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="keywordflow">return</span> std::make_unique<NeonTransposeConvolution2dWorkload>(*transposeConvolution2dQueueDescriptor,</div> |
| <div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  info,</div> |
| <div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  m_MemoryManager->GetIntraLayerManager());</div> |
| <div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  }</div> |
| <div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">LayerType::UnidirectionalSequenceLstm</a> :</div> |
| <div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  {</div> |
| <div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const UnidirectionalSequenceLstmQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keywordflow">if</span> ((<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0].GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div> |
| <div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1].GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div> |
| <div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[2].GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div> |
| <div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[0].GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div> |
| <div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[1].GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div> |
| <div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[2].GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>))</div> |
| <div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  {</div> |
| <div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <span class="keywordflow">return</span> std::make_unique<NeonUnidirectionalSequenceLstmFloatWorkload>(*desc, info);</div> |
| <div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  }</div> |
| <div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  {</div> |
| <div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <span class="keywordflow">return</span> std::make_unique<NeonUnidirectionalSequenceLstmWorkload>(*desc, info);</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>  }</div> |
| <div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</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> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a1e34af023adeb7d5f484f8eb4b9826b6">armnn::Abs</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">armnn::Add</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::ArgMinMax</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::BatchMatMul</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::BatchNormalization</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::BatchToSpaceNd</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::Cast</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::ChannelShuffle</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::Comparison</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::Concat</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::ConvertFp16ToFp32</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::ConvertFp32ToFp16</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::Convolution2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::Convolution3d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::Debug</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::DepthToSpace</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::Dequantize</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::DetectionPostProcess</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">armnn::Div</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::Division</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::ElementwiseBinary</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::ElementwiseUnary</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0">armnn::Exp</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::Fill</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">armnn::Floor</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::FullyConnected</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af617f46b788e11a564cb16c9f5d59fea">armnn::Fused</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::Gather</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">armnn::GatherNd</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::InstanceNormalization</a>, <a class="el" href="_neon_backend_model_context_8cpp_source.html#l00053">NeonBackendModelContext::IsFastMathEnabled()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::L2Normalization</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b">armnn::Log</a>, <a class="el" href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalAnd</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LogicalBinary</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::LogicalNot</a>, <a class="el" href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalOr</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LogSoftmax</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::Lstm</a>, <a class="el" href="_workload_data_8hpp_source.html#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.html#l00027">QueueDescriptor::m_Outputs</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">armnn::Maximum</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::Mean</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::MemCopy</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::MemImport</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::Minimum</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">armnn::Mul</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::Multiplication</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd">armnn::Neg</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::Normalization</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::Pad</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::Permute</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::Pooling2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::Pooling3d</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de">armnn::Power</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">armnn::PreCompiled</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::Prelu</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::QLstm</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::Quantize</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::QuantizedLstm</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::Rank</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::Reduce</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::Reshape</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::Resize</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">armnn::ReverseV2</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">armnn::Rsqrt</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd">armnn::Sin</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::Slice</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::Softmax</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::SpaceToBatchNd</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::SpaceToDepth</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::Splitter</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53">armnn::SqDiff</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8aae77f3ad25595e35b327334d89410054">armnn::Sqrt</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::Stack</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::StridedSlice</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::Sub</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::Subtraction</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">armnn::Tile</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::Transpose</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::TransposeConvolution2d</a>, and <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::UnidirectionalSequenceLstm</a>.</p> |
| |
| </div> |
| </div> |
| <a id="ae2cd7e29596b68884bfaade25f8f0dc0"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae2cd7e29596b68884bfaade25f8f0dc0">◆ </a></span>GetBackendId()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
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| <td class="memname">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> & GetBackendId </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Implements <a class="el" href="classarmnn_1_1_i_workload_factory.html#a9f7e4296485d2812e7996089149c96d1">IWorkloadFactory</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.html#l00049">49</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.html">NeonWorkloadFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">return</span> s_Id;</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="aeaff50773427132e1066a7de56a53db1"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aeaff50773427132e1066a7de56a53db1">◆ </a></span>IsLayerSupported() <span class="overload">[1/2]</span></h2> |
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| <td class="mlabels-left"> |
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| <td class="memname">bool IsLayerSupported </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a> & </td> |
| <td class="paramname"><em>layer</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > </td> |
| <td class="paramname"><em>dataType</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">std::string & </td> |
| <td class="paramname"><em>outReasonIfUnsupported</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> & </td> |
| <td class="paramname"><em>modelOptions</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">static</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.html#l00041">41</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.html">NeonWorkloadFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(s_Id, layer, dataType, outReasonIfUnsupported, modelOptions);</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_workload_factory_8cpp_source.html#l01614">IWorkloadFactory::IsLayerSupported()</a>.</p> |
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| </div> |
| </div> |
| <a id="a9992ea7c353e8597fbd8ae426f4612ae"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9992ea7c353e8597fbd8ae426f4612ae">◆ </a></span>IsLayerSupported() <span class="overload">[2/2]</span></h2> |
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| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
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| <td class="memname">bool IsLayerSupported </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_layer.html">Layer</a> & </td> |
| <td class="paramname"><em>layer</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > </td> |
| <td class="paramname"><em>dataType</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">std::string & </td> |
| <td class="paramname"><em>outReasonIfUnsupported</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">static</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.html#l00034">34</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.html">NeonWorkloadFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(s_Id, layer, dataType, outReasonIfUnsupported);</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_workload_factory_8cpp_source.html#l01614">IWorkloadFactory::IsLayerSupported()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="aed0a782f32856bde72bc10d9381dc11e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aed0a782f32856bde72bc10d9381dc11e">◆ </a></span>SupportsSubTensors()</h2> |
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| <td class="mlabels-left"> |
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| <td class="memname">bool SupportsSubTensors </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_workload_factory_base.html#aed0a782f32856bde72bc10d9381dc11e">WorkloadFactoryBase</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8hpp_source.html#l00039">39</a> of file <a class="el" href="_neon_workload_factory_8hpp_source.html">NeonWorkloadFactory.hpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>src/backends/neon/<a class="el" href="_neon_workload_factory_8hpp_source.html">NeonWorkloadFactory.hpp</a></li> |
| <li>src/backends/neon/<a class="el" href="_neon_workload_factory_8cpp_source.html">NeonWorkloadFactory.cpp</a></li> |
| </ul> |
| </div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a></div><div class="ttdeci">@ SpaceToDepth</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">armnn::BinaryOperation::Mul</a></div><div class="ttdeci">@ Mul</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div><div class="ttdeci">@ Permute</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">armnn::BinaryOperation::Add</a></div><div class="ttdeci">@ Add</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::LayerType::Splitter</a></div><div class="ttdeci">@ Splitter</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a></div><div class="ttdeci">@ InstanceNormalization</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div><div class="ttdeci">@ ConvertFp16ToFp32</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">armnn::LayerType::Floor</a></div><div class="ttdeci">@ Floor</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::BinaryOperation::Sub</a></div><div class="ttdeci">@ Sub</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a></div><div class="ttdeci">@ Transpose</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::LayerType::Comparison</a></div><div class="ttdeci">@ Comparison</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a></div><div class="ttdeci">@ StridedSlice</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247"><div class="ttname"><a href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</a></div><div class="ttdeci">@ LogicalOr</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">armnn::LayerType::Tile</a></div><div class="ttdeci">@ Tile</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::LayerType::Stack</a></div><div class="ttdeci">@ Stack</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a></div><div class="ttdeci">@ Normalization</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::LayerType::QuantizedLstm</a></div><div class="ttdeci">@ QuantizedLstm</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd">armnn::UnaryOperation::Neg</a></div><div class="ttdeci">@ Neg</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div><div class="ttdeci">@ Reduce</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::LayerType::ElementwiseUnary</a></div><div class="ttdeci">@ ElementwiseUnary</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac6e86c1def7f674d3c4cb7f577874aa6"><div class="ttname"><a href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">armnn::Coordinates</a></div><div class="ttdeci">std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.html#l00015">InternalTypes.hpp:15</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">armnn::LayerType::GatherNd</a></div><div class="ttdeci">@ GatherNd</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::LayerType::ElementwiseBinary</a></div><div class="ttdeci">@ ElementwiseBinary</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div><div class="ttdeci">@ ConvertFp32ToFp16</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::LayerType::Slice</a></div><div class="ttdeci">@ Slice</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">armnn::BinaryOperation::Maximum</a></div><div class="ttdeci">@ Maximum</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::LayerType::ChannelShuffle</a></div><div class="ttdeci">@ ChannelShuffle</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53">armnn::BinaryOperation::SqDiff</a></div><div class="ttdeci">@ SqDiff</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">armnn::UnaryOperation::Rsqrt</a></div><div class="ttdeci">@ Rsqrt</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8aae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8aae77f3ad25595e35b327334d89410054">armnn::UnaryOperation::Sqrt</a></div><div class="ttdeci">@ Sqrt</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::UnaryOperation::LogicalNot</a></div><div class="ttdeci">@ LogicalNot</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div><div class="ttdeci">@ Subtraction</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a></div><div class="ttdeci">@ Prelu</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LayerType::LogicalBinary</a></div><div class="ttdeci">@ LogicalBinary</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</a></div><div class="ttdeci">@ Concat</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0">armnn::UnaryOperation::Exp</a></div><div class="ttdeci">@ Exp</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div><div class="ttdeci">@ TransposeConvolution2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::LayerType::Debug</a></div><div class="ttdeci">@ Debug</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd">armnn::UnaryOperation::Sin</a></div><div class="ttdeci">@ Sin</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a></div><div class="ttdeci">@ Quantize</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div><div class="ttdeci">@ Multiplication</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div><div class="ttdeci">@ Addition</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</a></div><div class="ttdeci">@ DepthToSpace</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de">armnn::BinaryOperation::Power</a></div><div class="ttdeci">@ Power</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div><div class="ttdeci">@ DetectionPostProcess</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div><div class="ttdeci">@ MemImport</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div><div class="ttdeci">@ Pooling2d</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html_a74dc9ec1a223eab8b072368b2dacee87"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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.html#l01614">WorkloadFactory.cpp:1614</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div><div class="ttdeci">@ Division</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::LayerType::Gather</a></div><div class="ttdeci">@ Gather</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::LayerType::Pooling3d</a></div><div class="ttdeci">@ Pooling3d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b">armnn::UnaryOperation::Log</a></div><div class="ttdeci">@ Log</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div><div class="ttdeci">@ LogSoftmax</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a></div><div class="ttdeci">@ BatchMatMul</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55"><div class="ttname"><a href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a></div><div class="ttdeci">@ LogicalAnd</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a></div><div class="ttdeci">@ Cast</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div><div class="ttdeci">@ BatchToSpaceNd</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div><div class="ttdeci">@ Reshape</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a></div><div class="ttdeci">@ SpaceToBatchNd</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::LayerType::Fill</a></div><div class="ttdeci">@ Fill</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a></div><div class="ttdeci">@ L2Normalization</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af617f46b788e11a564cb16c9f5d59fea"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af617f46b788e11a564cb16c9f5d59fea">armnn::LayerType::Fused</a></div><div class="ttdeci">@ Fused</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::LayerType::Minimum</a></div><div class="ttdeci">@ Minimum</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">armnn::LayerType::PreCompiled</a></div><div class="ttdeci">@ PreCompiled</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::LayerType::UnidirectionalSequenceLstm</a></div><div class="ttdeci">@ UnidirectionalSequenceLstm</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::BinaryOperation::Minimum</a></div><div class="ttdeci">@ Minimum</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">armnn::LayerType::ReverseV2</a></div><div class="ttdeci">@ ReverseV2</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div><div class="ttdeci">@ MemCopy</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::LayerType::ArgMinMax</a></div><div class="ttdeci">@ ArgMinMax</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a></div><div class="ttdeci">@ Pad</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::LayerType::Rank</a></div><div class="ttdeci">@ Rank</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::LayerType::Mean</a></div><div class="ttdeci">@ Mean</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a1e34af023adeb7d5f484f8eb4b9826b6">armnn::UnaryOperation::Abs</a></div><div class="ttdeci">@ Abs</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div><div class="ttdeci">@ Resize</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">armnn::BinaryOperation::Div</a></div><div class="ttdeci">@ Div</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::LayerType::Maximum</a></div><div class="ttdeci">@ Maximum</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::LayerType::Lstm</a></div><div class="ttdeci">@ Lstm</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a></div><div class="ttdeci">@ Dequantize</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div><div class="ttdeci">@ Convolution3d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::LayerType::QLstm</a></div><div class="ttdeci">@ QLstm</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_a4d0238968a7643dbb170547dd22bba54"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">armnn::IBackendInternal::IBackendSpecificModelContextPtr</a></div><div class="ttdeci">std::shared_ptr< IBackendModelContext > IBackendSpecificModelContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00096">IBackendInternal.hpp:96</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div> |
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