diff options
| author | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
|---|---|---|
| committer | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
| commit | ae050524109f1ce827962665436ef7430f2ac479 (patch) | |
| tree | a087fe0c77570971dd7979f2757426c24e91afc7 /23.02/classarmnn_1_1_neon_backend.xhtml | |
| parent | 8d2ca734165a068478df7cffa46185680b05cd20 (diff) | |
| download | armnn-ae050524109f1ce827962665436ef7430f2ac479.tar.gz | |
IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub.
* Updating Doxygen documentation for 23.02 release.
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82
Diffstat (limited to '23.02/classarmnn_1_1_neon_backend.xhtml')
| -rw-r--r-- | 23.02/classarmnn_1_1_neon_backend.xhtml | 631 |
1 files changed, 496 insertions, 135 deletions
diff --git a/23.02/classarmnn_1_1_neon_backend.xhtml b/23.02/classarmnn_1_1_neon_backend.xhtml index 0558314d6b..4602582174 100644 --- a/23.02/classarmnn_1_1_neon_backend.xhtml +++ b/23.02/classarmnn_1_1_neon_backend.xhtml @@ -8,7 +8,7 @@ <head> <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> <meta http-equiv="X-UA-Compatible" content="IE=9"/> -<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="generator" content="Doxygen 1.8.17"/> <meta name="robots" content="NOINDEX, NOFOLLOW" /> <meta name="viewport" content="width=device-width, initial-scale=1"/> <title>ArmNN: NeonBackend Class Reference</title> @@ -19,9 +19,6 @@ <script type="text/javascript" src="resize.js"></script> <script type="text/javascript" src="navtreedata.js"></script> <script type="text/javascript" src="navtree.js"></script> -<script type="text/javascript"> - $(document).ready(initResizable); -</script> <link href="search/search.css" rel="stylesheet" type="text/css"/> <script type="text/javascript" src="search/searchdata.js"></script> <script type="text/javascript" src="search/search.js"></script> @@ -30,7 +27,8 @@ extensions: ["tex2jax.js"], jax: ["input/TeX","output/HTML-CSS"], }); -</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +</script> +<script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> <link href="doxygen.css" rel="stylesheet" type="text/css" /> <link href="stylesheet.css" rel="stylesheet" type="text/css"/> </head> @@ -51,18 +49,21 @@ </table> </div> <!-- end header part --> -<!-- Generated by Doxygen 1.8.13 --> +<!-- Generated by Doxygen 1.8.17 --> <script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ </script> <script type="text/javascript" src="menudata.js"></script> <script type="text/javascript" src="menu.js"></script> <script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ $(function() { initMenu('',true,false,'search.php','Search'); $(document).ready(function() { init_search(); }); }); -</script> +/* @license-end */</script> <div id="main-nav"></div> </div><!-- top --> <div id="side-nav" class="ui-resizable side-nav-resizable"> @@ -76,7 +77,9 @@ $(function() { </div> </div> <script type="text/javascript"> -$(document).ready(function(){initNavTree('classarmnn_1_1_neon_backend.xhtml','');}); +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('classarmnn_1_1_neon_backend.xhtml',''); initResizable(); }); +/* @license-end */ </script> <div id="doc-content"> <!-- window showing the filter options --> @@ -111,9 +114,9 @@ Inheritance diagram for NeonBackend:</div> <img src="classarmnn_1_1_neon_backend.png" usemap="#NeonBackend_map" alt=""/> <map id="NeonBackend_map" name="NeonBackend_map"> <area href="classarmnn_1_1_i_backend_internal.xhtml" alt="IBackendInternal" shape="rect" coords="0,56,106,80"/> -<area href="classarmnn_1_1_i_backend.xhtml" title="Each backend should implement an IBackend. " alt="IBackend" shape="rect" coords="0,0,106,24"/> -</map> - </div></div> +<area href="classarmnn_1_1_i_backend.xhtml" title="Each backend should implement an IBackend." alt="IBackend" shape="rect" coords="0,0,106,24"/> + </map> +</div></div> <table class="memberdecls"> <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> Public Member Functions</h2></td></tr> @@ -134,10 +137,10 @@ Public Member Functions</h2></td></tr> <tr class="memitem:a95c304f397c4ef9f0108834e16631219"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a72ca1cf423bda4b0a9ffb789627126de">IWorkloadFactoryPtr</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.xhtml#a95c304f397c4ef9f0108834e16631219">CreateWorkloadFactory</a> (class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> &tensorHandleFactoryRegistry, const <a class="el" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &modelOptions) const override</td></tr> <tr class="separator:a95c304f397c4ef9f0108834e16631219"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:a801cf3170dc777aca3e6f926d1bd70a5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#ada6d56575c0fe53cf23c7ae4610c6367">IBackendInternal::IBackendContextPtr</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.xhtml#a801cf3170dc777aca3e6f926d1bd70a5">CreateBackendContext</a> (const <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">IRuntime::CreationOptions</a> &) const override</td></tr> -<tr class="memdesc:a801cf3170dc777aca3e6f926d1bd70a5"><td class="mdescLeft"> </td><td class="mdescRight">Create the runtime context of the backend. <a href="#a801cf3170dc777aca3e6f926d1bd70a5">More...</a><br /></td></tr> +<tr class="memdesc:a801cf3170dc777aca3e6f926d1bd70a5"><td class="mdescLeft"> </td><td class="mdescRight">Create the runtime context of the backend. <a href="classarmnn_1_1_neon_backend.xhtml#a801cf3170dc777aca3e6f926d1bd70a5">More...</a><br /></td></tr> <tr class="separator:a801cf3170dc777aca3e6f926d1bd70a5"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:a68c2ef244261cc9649799284774af132"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#ae44a82b0e485e551a0f77150b1076e06">IBackendInternal::IBackendProfilingContextPtr</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.xhtml#a68c2ef244261cc9649799284774af132">CreateBackendProfilingContext</a> (const <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">IRuntime::CreationOptions</a> &, <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a335964abd41c91f7e6ef5c65865a7b98">IBackendProfilingPtr</a> &backendProfiling) override</td></tr> -<tr class="memdesc:a68c2ef244261cc9649799284774af132"><td class="mdescLeft"> </td><td class="mdescRight">Create context specifically used for profiling interaction from backends. <a href="#a68c2ef244261cc9649799284774af132">More...</a><br /></td></tr> +<tr class="memdesc:a68c2ef244261cc9649799284774af132"><td class="mdescLeft"> </td><td class="mdescRight">Create context specifically used for profiling interaction from backends. <a href="classarmnn_1_1_neon_backend.xhtml#a68c2ef244261cc9649799284774af132">More...</a><br /></td></tr> <tr class="separator:a68c2ef244261cc9649799284774af132"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:a93d4285a3ea5e4e3b35578484d889daa"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">IBackendInternal::ILayerSupportSharedPtr</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.xhtml#a93d4285a3ea5e4e3b35578484d889daa">GetLayerSupport</a> () const override</td></tr> <tr class="separator:a93d4285a3ea5e4e3b35578484d889daa"><td class="memSeparator" colspan="2"> </td></tr> @@ -146,18 +149,18 @@ Public Member Functions</h2></td></tr> <tr class="memitem:a339efc194a1738cd93fcdde4d948a5cd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_optimization_views.xhtml">OptimizationViews</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.xhtml#a339efc194a1738cd93fcdde4d948a5cd">OptimizeSubgraphView</a> (const <a class="el" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a> &subgraph, const <a class="el" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &modelOptions) const override</td></tr> <tr class="separator:a339efc194a1738cd93fcdde4d948a5cd"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:a63559c7f206c265f5fff5ffcc8a58e3e"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.xhtml#a63559c7f206c265f5fff5ffcc8a58e3e">GetHandleFactoryPreferences</a> () const override</td></tr> -<tr class="memdesc:a63559c7f206c265f5fff5ffcc8a58e3e"><td class="mdescLeft"> </td><td class="mdescRight">(<a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>) Returns a vector of supported TensorHandleFactory ids in preference order. <a href="#a63559c7f206c265f5fff5ffcc8a58e3e">More...</a><br /></td></tr> +<tr class="memdesc:a63559c7f206c265f5fff5ffcc8a58e3e"><td class="mdescLeft"> </td><td class="mdescRight">(<a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>) Returns a vector of supported TensorHandleFactory ids in preference order. <a href="classarmnn_1_1_neon_backend.xhtml#a63559c7f206c265f5fff5ffcc8a58e3e">More...</a><br /></td></tr> <tr class="separator:a63559c7f206c265f5fff5ffcc8a58e3e"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:a583bc4404a9d27ee1f8c46239637125d"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.xhtml#a583bc4404a9d27ee1f8c46239637125d">RegisterTensorHandleFactories</a> (class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> &registry) override</td></tr> -<tr class="memdesc:a583bc4404a9d27ee1f8c46239637125d"><td class="mdescLeft"> </td><td class="mdescRight">(<a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>) Register TensorHandleFactories Either this method or <a class="el" href="classarmnn_1_1_neon_backend.xhtml#a93fcb3bff141d8c77b53466a44b58eee">CreateMemoryManager()</a> and IWorkloadFactory::CreateTensor() IWorkloadFactory::CreateSubtensor() methods must be implemented. <a href="#a583bc4404a9d27ee1f8c46239637125d">More...</a><br /></td></tr> +<tr class="memdesc:a583bc4404a9d27ee1f8c46239637125d"><td class="mdescLeft"> </td><td class="mdescRight">(<a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>) Register TensorHandleFactories Either this method or <a class="el" href="classarmnn_1_1_neon_backend.xhtml#a93fcb3bff141d8c77b53466a44b58eee">CreateMemoryManager()</a> and IWorkloadFactory::CreateTensor() IWorkloadFactory::CreateSubtensor() methods must be implemented. <a href="classarmnn_1_1_neon_backend.xhtml#a583bc4404a9d27ee1f8c46239637125d">More...</a><br /></td></tr> <tr class="separator:a583bc4404a9d27ee1f8c46239637125d"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:a2482b4a7d5bde88e9b963be08017ce2b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a> (const <a class="el" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &modelOptions) const override</td></tr> <tr class="separator:a2482b4a7d5bde88e9b963be08017ce2b"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:ab9199ff425571ba62412bb903c2c933e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#aa9c506b558b8aa33a228b15164f40dc3">BackendCapabilities</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.xhtml#ab9199ff425571ba62412bb903c2c933e">GetCapabilities</a> () const override</td></tr> -<tr class="memdesc:ab9199ff425571ba62412bb903c2c933e"><td class="mdescLeft"> </td><td class="mdescRight">Returns a BackendCapability if the backend lists the capability The BackendCapability must then be inspected to check whether or not that BackendCapability is supported Otherwise returns an <a class="el" href="structarmnn_1_1_empty_optional.xhtml" title="EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...">EmptyOptional</a> if the BackendCapability is unlisted. <a href="#ab9199ff425571ba62412bb903c2c933e">More...</a><br /></td></tr> +<tr class="memdesc:ab9199ff425571ba62412bb903c2c933e"><td class="mdescLeft"> </td><td class="mdescRight">Returns a BackendCapability if the backend lists the capability The BackendCapability must then be inspected to check whether or not that BackendCapability is supported Otherwise returns an <a class="el" href="structarmnn_1_1_empty_optional.xhtml" title="EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...">EmptyOptional</a> if the BackendCapability is unlisted. <a href="classarmnn_1_1_neon_backend.xhtml#ab9199ff425571ba62412bb903c2c933e">More...</a><br /></td></tr> <tr class="separator:ab9199ff425571ba62412bb903c2c933e"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:afb75bad43612f5314622c4fa8a16e63d"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_custom_allocator.xhtml">ICustomAllocator</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.xhtml#afb75bad43612f5314622c4fa8a16e63d">GetDefaultAllocator</a> () const override</td></tr> -<tr class="memdesc:afb75bad43612f5314622c4fa8a16e63d"><td class="mdescLeft"> </td><td class="mdescRight">Returns the default memory allocator for the backend. <a href="#afb75bad43612f5314622c4fa8a16e63d">More...</a><br /></td></tr> +<tr class="memdesc:afb75bad43612f5314622c4fa8a16e63d"><td class="mdescLeft"> </td><td class="mdescRight">Returns the default memory allocator for the backend. <a href="classarmnn_1_1_neon_backend.xhtml#afb75bad43612f5314622c4fa8a16e63d">More...</a><br /></td></tr> <tr class="separator:afb75bad43612f5314622c4fa8a16e63d"><td class="memSeparator" colspan="2"> </td></tr> <tr class="inherit_header pub_methods_classarmnn_1_1_i_backend_internal"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_i_backend_internal')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml">IBackendInternal</a></td></tr> <tr class="memitem:a8c507c220869f89aec2dc370ea6c5a0b inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a8c507c220869f89aec2dc370ea6c5a0b">~IBackendInternal</a> () override=default</td></tr> @@ -174,9 +177,9 @@ Public Member Functions</h2></td></tr> <tr class="memitem:a36b46ce669164b5188cb21796557d897 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a36b46ce669164b5188cb21796557d897">RegisterTensorHandleFactories</a> (class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> &registry, <a class="el" href="namespacearmnn.xhtml#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> inputFlags, <a class="el" href="namespacearmnn.xhtml#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> outputFlags)</td></tr> <tr class="memdesc:a36b46ce669164b5188cb21796557d897 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft"> </td><td class="mdescRight">(<a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>) Register TensorHandleFactories Either this method or <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a0fe4c12c8f1f0722d2a91f61c02a687a">CreateMemoryManager()</a> and IWorkloadFactory::CreateTensor() IWorkloadFactory::CreateSubtensor() methods must be implemented. <a href="classarmnn_1_1_i_backend_internal.xhtml#a36b46ce669164b5188cb21796557d897">More...</a><br /></td></tr> <tr class="separator:a36b46ce669164b5188cb21796557d897 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> -<tr class="memitem:a75af5f33aff768de09b8f703b87636ab inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a75af5f33aff768de09b8f703b87636ab">UseCustomMemoryAllocator</a> (std::shared_ptr< <a class="el" href="classarmnn_1_1_i_custom_allocator.xhtml">ICustomAllocator</a> > allocator, <a class="el" href="classarmnn_1_1_optional.xhtml">armnn::Optional</a>< std::string &> errMsg)</td></tr> -<tr class="memdesc:a75af5f33aff768de09b8f703b87636ab inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft"> </td><td class="mdescRight">Signals the backend to use a custom memory allocator provided by the user. <a href="classarmnn_1_1_i_backend_internal.xhtml#a75af5f33aff768de09b8f703b87636ab">More...</a><br /></td></tr> -<tr class="separator:a75af5f33aff768de09b8f703b87636ab inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8a8eb1a5eb458445a2e5a7c7cd4424cb inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a8a8eb1a5eb458445a2e5a7c7cd4424cb">UseCustomMemoryAllocator</a> (std::shared_ptr< <a class="el" href="classarmnn_1_1_i_custom_allocator.xhtml">ICustomAllocator</a> > allocator, <a class="el" href="classarmnn_1_1_optional.xhtml">armnn::Optional</a>< std::string & > errMsg)</td></tr> +<tr class="memdesc:a8a8eb1a5eb458445a2e5a7c7cd4424cb inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft"> </td><td class="mdescRight">Signals the backend to use a custom memory allocator provided by the user. <a href="classarmnn_1_1_i_backend_internal.xhtml#a8a8eb1a5eb458445a2e5a7c7cd4424cb">More...</a><br /></td></tr> +<tr class="separator:a8a8eb1a5eb458445a2e5a7c7cd4424cb inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:a87d128382876683170ffc3529aadabbf inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a87d128382876683170ffc3529aadabbf">GetNumberOfCacheFiles</a> () const</td></tr> <tr class="memdesc:a87d128382876683170ffc3529aadabbf inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of files cached if backend supports caching. <a href="classarmnn_1_1_i_backend_internal.xhtml#a87d128382876683170ffc3529aadabbf">More...</a><br /></td></tr> <tr class="separator:a87d128382876683170ffc3529aadabbf inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> @@ -306,14 +309,14 @@ Additional Inherited Members</h2></td></tr> </div><div class="memdoc"> <p>Create the runtime context of the backend. </p> -<p>Implementations may return a default-constructed IBackendContextPtr if no context is needed at runtime. Implementations must throw <a class="el" href="classarmnn_1_1_backend_unavailable_exception.xhtml" title="Class for non-fatal exceptions raised while initialising a backend. ">BackendUnavailableException</a> if the backend cannot be used (for example, necessary accelerator hardware is not present). The default implementation always returns a default-constructed pointer. </p> +<p>Implementations may return a default-constructed IBackendContextPtr if no context is needed at runtime. Implementations must throw <a class="el" href="classarmnn_1_1_backend_unavailable_exception.xhtml" title="Class for non-fatal exceptions raised while initialising a backend.">BackendUnavailableException</a> if the backend cannot be used (for example, necessary accelerator hardware is not present). The default implementation always returns a default-constructed pointer. </p> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a07a1b3f9ac897364b5c2aacc227cbebc">IBackendInternal</a>.</p> <p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00107">107</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> - -<p class="reference">Referenced by <a class="el" href="_neon_backend_8hpp_source.xhtml#l00033">NeonBackend::GetId()</a>.</p> -<div class="fragment"><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#ada6d56575c0fe53cf23c7ae4610c6367">IBackendContextPtr</a>{};</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> }</div><div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_ada6d56575c0fe53cf23c7ae4610c6367"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#ada6d56575c0fe53cf23c7ae4610c6367">armnn::IBackendInternal::IBackendContextPtr</a></div><div class="ttdeci">std::unique_ptr< IBackendContext > IBackendContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.xhtml#l00090">IBackendInternal.hpp:90</a></div></div> +<div class="fragment"><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> {</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#ada6d56575c0fe53cf23c7ae4610c6367">IBackendContextPtr</a>{};</div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> }</div> </div><!-- fragment --> </div> </div> @@ -356,9 +359,9 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a6c5064ef6323af5c547674d01b15d7ab">IBackendInternal</a>.</p> <p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00112">112</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> - -<p class="reference">Referenced by <a class="el" href="_neon_backend_8hpp_source.xhtml#l00033">NeonBackend::GetId()</a>.</p> -<div class="fragment"><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> {</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#ae44a82b0e485e551a0f77150b1076e06">IBackendProfilingContextPtr</a>{};</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> }</div><div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_ae44a82b0e485e551a0f77150b1076e06"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#ae44a82b0e485e551a0f77150b1076e06">armnn::IBackendInternal::IBackendProfilingContextPtr</a></div><div class="ttdeci">std::shared_ptr< arm::pipe::IBackendProfilingContext > IBackendProfilingContextPtr</div><div class="ttdoc">This is the bridge between backend and backend profiling we&#39;ll keep it in the backend namespace...</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.xhtml#l00092">IBackendInternal.hpp:92</a></div></div> +<div class="fragment"><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> {</div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#ae44a82b0e485e551a0f77150b1076e06">IBackendProfilingContextPtr</a>{};</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> }</div> </div><!-- fragment --> </div> </div> @@ -389,10 +392,12 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a41f38c8c2182463dec4f03769ea54f63">IBackendInternal</a>.</p> <p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00118">118</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> - -<p class="reference">Referenced by <a class="el" href="_neon_backend_8cpp_source.xhtml#l00063">NeonBackend::CreateWorkloadFactory()</a>, <a class="el" href="_neon_backend_8hpp_source.xhtml#l00033">NeonBackend::GetId()</a>, and <a class="el" href="_neon_backend_8cpp_source.xhtml#l00133">NeonBackend::GetLayerSupport()</a>.</p> -<div class="fragment"><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> {</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">IBackendSpecificModelContextPtr</a>{<span class="keyword">new</span> NeonBackendModelContext{modelOptions}};</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> }</div><div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a4d0238968a7643dbb170547dd22bba54"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#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.xhtml#l00096">IBackendInternal.hpp:96</a></div></div> +<div class="fragment"><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> {</div> +<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">IBackendSpecificModelContextPtr</a>{<span class="keyword">new</span> NeonBackendModelContext{modelOptions}};</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> }</div> </div><!-- fragment --> +<p class="reference">Referenced by <a class="el" href="_neon_backend_8cpp_source.xhtml#l00063">NeonBackend::CreateWorkloadFactory()</a>, and <a class="el" href="_neon_backend_8cpp_source.xhtml#l00133">NeonBackend::GetLayerSupport()</a>.</p> + </div> </div> <a id="a93fcb3bff141d8c77b53466a44b58eee"></a> @@ -421,16 +426,17 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a0fe4c12c8f1f0722d2a91f61c02a687a">IBackendInternal</a>.</p> <p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00050">50</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> - +<div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> std::make_unique<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> }</div> +</div><!-- fragment --> <p class="reference">References <a class="el" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::Offset</a>.</p> -<p class="reference">Referenced by <a class="el" href="_neon_backend_8hpp_source.xhtml#l00033">NeonBackend::GetId()</a>.</p> -<div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> std::make_unique<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> }</div><div class="ttc" id="classarmnn_1_1_base_memory_manager_xhtml_aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e"><div class="ttname"><a href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">armnn::BaseMemoryManager::MemoryAffinity::Offset</a></div></div> -</div><!-- fragment --> </div> </div> -<a id="a8e19e275c8162e34e6d8d10a9245dbc9"></a> -<h2 class="memtitle"><span class="permalink"><a href="#a8e19e275c8162e34e6d8d10a9245dbc9">◆ </a></span>CreateWorkloadFactory() <span class="overload">[1/4]</span></h2> +<a id="afb0e4b4255c996c68fe87e3c13451a43"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afb0e4b4255c996c68fe87e3c13451a43">◆ </a></span>CreateWorkloadFactory() <span class="overload">[1/4]</span></h2> <div class="memitem"> <div class="memproto"> @@ -441,8 +447,8 @@ Additional Inherited Members</h2></td></tr> <tr> <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td> <td>(</td> - <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">IBackendInternal::IMemoryManagerSharedPtr</a> & </td> - <td class="paramname"><em>memoryManager</em> = <code>nullptr</code></td><td>)</td> + <td class="paramtype">class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> & </td> + <td class="paramname"><em>tensorHandleFactoryRegistry</em></td><td>)</td> <td> const</td> </tr> </table> @@ -453,16 +459,32 @@ Additional Inherited Members</h2></td></tr> </table> </div><div class="memdoc"> -<p>Implements <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#afd5a5e90515b31c0174f76ec8897e9b1">IBackendInternal</a>.</p> +<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a41c5c170ef6708c1efc683d900f624ff">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00056">56</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> +<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00070">70</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> {</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">auto</span> memoryManager = std::make_shared<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</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>  tensorHandleFactoryRegistry.RegisterMemoryManager(memoryManager);</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  </div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">auto</span> factory = std::make_unique<NeonTensorHandleFactory>(memoryManager);</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// Register copy and import factory pair</span></div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  tensorHandleFactoryRegistry.RegisterCopyAndImportFactoryPair(factory->GetId(), factory->GetId());</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="comment">// Register the factory</span></div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  tensorHandleFactoryRegistry.RegisterFactory(std::move(factory));</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  </div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  </div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager));</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::Offset</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, and <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>.</p> -<p class="reference">Referenced by <a class="el" href="_neon_backend_8hpp_source.xhtml#l00033">NeonBackend::GetId()</a>.</p> -<div class="fragment"><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> {</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager));</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> }</div></div><!-- fragment --> </div> </div> -<a id="afb0e4b4255c996c68fe87e3c13451a43"></a> -<h2 class="memtitle"><span class="permalink"><a href="#afb0e4b4255c996c68fe87e3c13451a43">◆ </a></span>CreateWorkloadFactory() <span class="overload">[2/4]</span></h2> +<a id="a95c304f397c4ef9f0108834e16631219"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a95c304f397c4ef9f0108834e16631219">◆ </a></span>CreateWorkloadFactory() <span class="overload">[2/4]</span></h2> <div class="memitem"> <div class="memproto"> @@ -474,8 +496,18 @@ Additional Inherited Members</h2></td></tr> <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td> <td>(</td> <td class="paramtype">class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> & </td> - <td class="paramname"><em>tensorHandleFactoryRegistry</em></td><td>)</td> - <td> const</td> + <td class="paramname"><em>tensorHandleFactoryRegistry</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> & </td> + <td class="paramname"><em>modelOptions</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> </tr> </table> </td> @@ -485,17 +517,31 @@ Additional Inherited Members</h2></td></tr> </table> </div><div class="memdoc"> -<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a41c5c170ef6708c1efc683d900f624ff">IBackendInternal</a>.</p> - -<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00070">70</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> +<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#aebacbea86fddc46858f6329671ccf750">IBackendInternal</a>.</p> -<p class="reference">References <a class="el" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::Offset</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, and <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>.</p> -<div class="fragment"><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">auto</span> memoryManager = std::make_shared<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</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>  tensorHandleFactoryRegistry.RegisterMemoryManager(memoryManager);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">auto</span> factory = std::make_unique<NeonTensorHandleFactory>(memoryManager);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// Register copy and import factory pair</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  tensorHandleFactoryRegistry.RegisterCopyAndImportFactoryPair(factory->GetId(), factory->GetId());</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="comment">// Register the factory</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  tensorHandleFactoryRegistry.RegisterFactory(std::move(factory));</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager));</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> }</div><div class="ttc" id="classarmnn_1_1_base_memory_manager_xhtml_aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e"><div class="ttname"><a href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">armnn::BaseMemoryManager::MemoryAffinity::Offset</a></div></div> +<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00089">89</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> +<div class="fragment"><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>  <span class="keyword">auto</span> memoryManager = std::make_shared<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  </div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  tensorHandleFactoryRegistry.RegisterMemoryManager(memoryManager);</div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  </div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">auto</span> factory = std::make_unique<NeonTensorHandleFactory>(memoryManager);</div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Register copy and import factory pair</span></div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  tensorHandleFactoryRegistry.RegisterCopyAndImportFactoryPair(factory->GetId(), factory->GetId());</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Register the factory</span></div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  tensorHandleFactoryRegistry.RegisterFactory(std::move(factory));</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  </div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> }</div> </div><!-- fragment --> +<p class="reference">References <a class="el" href="_neon_backend_8cpp_source.xhtml#l00118">NeonBackend::CreateBackendSpecificModelContext()</a>, <a class="el" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::Offset</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, and <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>.</p> + </div> </div> -<a id="a19441d1c63ca23efb8d4305933bcb712"></a> -<h2 class="memtitle"><span class="permalink"><a href="#a19441d1c63ca23efb8d4305933bcb712">◆ </a></span>CreateWorkloadFactory() <span class="overload">[3/4]</span></h2> +<a id="a8e19e275c8162e34e6d8d10a9245dbc9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8e19e275c8162e34e6d8d10a9245dbc9">◆ </a></span>CreateWorkloadFactory() <span class="overload">[3/4]</span></h2> <div class="memitem"> <div class="memproto"> @@ -506,19 +552,9 @@ Additional Inherited Members</h2></td></tr> <tr> <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td> <td>(</td> - <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">IMemoryManagerSharedPtr</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="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> & </td> - <td class="paramname"><em>modelOptions</em> </td> - </tr> - <tr> - <td></td> - <td>)</td> - <td></td><td> const</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> = <code>nullptr</code></td><td>)</td> + <td> const</td> </tr> </table> </td> @@ -528,17 +564,18 @@ Additional Inherited Members</h2></td></tr> </table> </div><div class="memdoc"> -<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a22973198ab5ac5624b4caa78100d2d25">IBackendInternal</a>.</p> - -<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00063">63</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> +<p>Implements <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#afd5a5e90515b31c0174f76ec8897e9b1">IBackendInternal</a>.</p> -<p class="reference">References <a class="el" href="_neon_backend_8cpp_source.xhtml#l00118">NeonBackend::CreateBackendSpecificModelContext()</a>.</p> -<div class="fragment"><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> }</div><div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a2482b4a7d5bde88e9b963be08017ce2b"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">armnn::NeonBackend::CreateBackendSpecificModelContext</a></div><div class="ttdeci">IBackendInternal::IBackendSpecificModelContextPtr CreateBackendSpecificModelContext(const ModelOptions &modelOptions) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00118">NeonBackend.cpp:118</a></div></div> +<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00056">56</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> {</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager));</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> }</div> </div><!-- fragment --> </div> </div> -<a id="a95c304f397c4ef9f0108834e16631219"></a> -<h2 class="memtitle"><span class="permalink"><a href="#a95c304f397c4ef9f0108834e16631219">◆ </a></span>CreateWorkloadFactory() <span class="overload">[4/4]</span></h2> +<a id="a19441d1c63ca23efb8d4305933bcb712"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a19441d1c63ca23efb8d4305933bcb712">◆ </a></span>CreateWorkloadFactory() <span class="overload">[4/4]</span></h2> <div class="memitem"> <div class="memproto"> @@ -549,8 +586,8 @@ Additional Inherited Members</h2></td></tr> <tr> <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td> <td>(</td> - <td class="paramtype">class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> & </td> - <td class="paramname"><em>tensorHandleFactoryRegistry</em>, </td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> </tr> <tr> <td class="paramkey"></td> @@ -571,14 +608,16 @@ Additional Inherited Members</h2></td></tr> </table> </div><div class="memdoc"> -<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#aebacbea86fddc46858f6329671ccf750">IBackendInternal</a>.</p> - -<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00089">89</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> +<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a22973198ab5ac5624b4caa78100d2d25">IBackendInternal</a>.</p> -<p class="reference">References <a class="el" href="_neon_backend_8cpp_source.xhtml#l00118">NeonBackend::CreateBackendSpecificModelContext()</a>, <a class="el" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::Offset</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, and <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>.</p> -<div class="fragment"><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>  <span class="keyword">auto</span> memoryManager = std::make_shared<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  tensorHandleFactoryRegistry.RegisterMemoryManager(memoryManager);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">auto</span> factory = std::make_unique<NeonTensorHandleFactory>(memoryManager);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Register copy and import factory pair</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  tensorHandleFactoryRegistry.RegisterCopyAndImportFactoryPair(factory->GetId(), factory->GetId());</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Register the factory</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  tensorHandleFactoryRegistry.RegisterFactory(std::move(factory));</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> }</div><div class="ttc" id="classarmnn_1_1_base_memory_manager_xhtml_aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e"><div class="ttname"><a href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">armnn::BaseMemoryManager::MemoryAffinity::Offset</a></div></div> -<div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a2482b4a7d5bde88e9b963be08017ce2b"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">armnn::NeonBackend::CreateBackendSpecificModelContext</a></div><div class="ttdeci">IBackendInternal::IBackendSpecificModelContextPtr CreateBackendSpecificModelContext(const ModelOptions &modelOptions) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00118">NeonBackend.cpp:118</a></div></div> +<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00063">63</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> {</div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> }</div> </div><!-- fragment --> +<p class="reference">References <a class="el" href="_neon_backend_8cpp_source.xhtml#l00118">NeonBackend::CreateBackendSpecificModelContext()</a>.</p> + </div> </div> <a id="ab9199ff425571ba62412bb903c2c933e"></a> @@ -609,10 +648,12 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a057f6c5c3ab3248050ed548273c4beb9">IBackendInternal</a>.</p> <p class="definition">Definition at line <a class="el" href="_neon_backend_8hpp_source.xhtml#l00065">65</a> of file <a class="el" href="_neon_backend_8hpp_source.xhtml">NeonBackend.hpp</a>.</p> - -<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a140decc881c774b2cf515db7bc161a4e">armnn::cpuAccCapabilities</a>, and <a class="el" href="_neon_backend_8cpp_source.xhtml#l00455">NeonBackend::GetDefaultAllocator()</a>.</p> -<div class="fragment"><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a140decc881c774b2cf515db7bc161a4e">cpuAccCapabilities</a>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  };</div><div class="ttc" id="namespacearmnn_xhtml_a140decc881c774b2cf515db7bc161a4e"><div class="ttname"><a href="namespacearmnn.xhtml#a140decc881c774b2cf515db7bc161a4e">armnn::cpuAccCapabilities</a></div><div class="ttdeci">const BackendCapabilities cpuAccCapabilities("CpuAcc", { {"NonConstWeights", false}, {"AsyncExecution", false}, {"ProtectedContentAllocation", false}, {"ConstantTensorsAsInputs", true}, {"PreImportIOTensors", false}, {"ExternallyManagedMemory", true}, {"MultiAxisPacking", false}, {"SingleAxisPacking", true} })</div></div> +<div class="fragment"><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a140decc881c774b2cf515db7bc161a4e">cpuAccCapabilities</a>;</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  };</div> </div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a140decc881c774b2cf515db7bc161a4e">armnn::cpuAccCapabilities</a>.</p> + </div> </div> <a id="afb75bad43612f5314622c4fa8a16e63d"></a> @@ -644,9 +685,10 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a563472222884844adc3183c433f38e54">IBackendInternal</a>.</p> <p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00455">455</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> - -<p class="reference">Referenced by <a class="el" href="_neon_backend_8hpp_source.xhtml#l00065">NeonBackend::GetCapabilities()</a>.</p> -<div class="fragment"><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> {</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keywordflow">return</span> std::make_unique<DefaultAllocator>();</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> }</div></div><!-- fragment --> +<div class="fragment"><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> {</div> +<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keywordflow">return</span> std::make_unique<DefaultAllocator>();</div> +<div class="line"><a name="l00458"></a><span class="lineno"> 458</span> }</div> +</div><!-- fragment --> </div> </div> <a id="a63559c7f206c265f5fff5ffcc8a58e3e"></a> @@ -677,12 +719,12 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#ac5d107c5672f446603b6e6b92bce6244">IBackendInternal</a>.</p> <p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00436">436</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> - +<div class="fragment"><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="keywordflow">return</span> std::vector<ITensorHandleFactory::FactoryId>() = { <a class="code" href="classarmnn_1_1_neon_tensor_handle_factory.xhtml#acdecb5b442434112c2cc8fc48c0ea922">NeonTensorHandleFactory::GetIdStatic</a>() };</div> +<div class="line"><a name="l00439"></a><span class="lineno"> 439</span> }</div> +</div><!-- fragment --> <p class="reference">References <a class="el" href="_neon_tensor_handle_factory_8cpp_source.xhtml#l00089">NeonTensorHandleFactory::GetIdStatic()</a>.</p> -<p class="reference">Referenced by <a class="el" href="_neon_backend_8hpp_source.xhtml#l00033">NeonBackend::GetId()</a>.</p> -<div class="fragment"><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="keywordflow">return</span> std::vector<ITensorHandleFactory::FactoryId>() = { <a class="code" href="classarmnn_1_1_neon_tensor_handle_factory.xhtml#acdecb5b442434112c2cc8fc48c0ea922">NeonTensorHandleFactory::GetIdStatic</a>() };</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span> }</div><div class="ttc" id="classarmnn_1_1_neon_tensor_handle_factory_xhtml_acdecb5b442434112c2cc8fc48c0ea922"><div class="ttname"><a href="classarmnn_1_1_neon_tensor_handle_factory.xhtml#acdecb5b442434112c2cc8fc48c0ea922">armnn::NeonTensorHandleFactory::GetIdStatic</a></div><div class="ttdeci">static const FactoryId & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_tensor_handle_factory_8cpp_source.xhtml#l00089">NeonTensorHandleFactory.cpp:89</a></div></div> -</div><!-- fragment --> </div> </div> <a id="a6c6c3d137a7792e264a89cc40ea94bb0"></a> @@ -711,10 +753,10 @@ Additional Inherited Members</h2></td></tr> <p>Implements <a class="el" href="classarmnn_1_1_i_backend.xhtml#aa9fc23b7155bd678232eeb351059b748">IBackend</a>.</p> <p class="definition">Definition at line <a class="el" href="_neon_backend_8hpp_source.xhtml#l00033">33</a> of file <a class="el" href="_neon_backend_8hpp_source.xhtml">NeonBackend.hpp</a>.</p> - -<p class="reference">References <a class="el" href="_neon_backend_8cpp_source.xhtml#l00107">NeonBackend::CreateBackendContext()</a>, <a class="el" href="_neon_backend_8cpp_source.xhtml#l00112">NeonBackend::CreateBackendProfilingContext()</a>, <a class="el" href="_neon_backend_8cpp_source.xhtml#l00118">NeonBackend::CreateBackendSpecificModelContext()</a>, <a class="el" href="_neon_backend_8cpp_source.xhtml#l00050">NeonBackend::CreateMemoryManager()</a>, <a class="el" href="_neon_backend_8cpp_source.xhtml#l00056">NeonBackend::CreateWorkloadFactory()</a>, <a class="el" href="_neon_backend_8cpp_source.xhtml#l00436">NeonBackend::GetHandleFactoryPreferences()</a>, <a class="el" href="_neon_backend_8cpp_source.xhtml#l00044">NeonBackend::GetIdStatic()</a>, <a class="el" href="_neon_backend_8cpp_source.xhtml#l00124">NeonBackend::GetLayerSupport()</a>, <a class="el" href="_neon_backend_8cpp_source.xhtml#l00142">NeonBackend::OptimizeSubgraphView()</a>, and <a class="el" href="_neon_backend_8cpp_source.xhtml#l00441">NeonBackend::RegisterTensorHandleFactories()</a>.</p> -<div class="fragment"><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> { <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a177af502214bbc8123fbb4a3c4f0a1b8">GetIdStatic</a>(); }</div><div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a177af502214bbc8123fbb4a3c4f0a1b8"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a177af502214bbc8123fbb4a3c4f0a1b8">armnn::NeonBackend::GetIdStatic</a></div><div class="ttdeci">static const BackendId & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00044">NeonBackend.cpp:44</a></div></div> +<div class="fragment"><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> { <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a177af502214bbc8123fbb4a3c4f0a1b8">GetIdStatic</a>(); }</div> </div><!-- fragment --> +<p class="reference">References <a class="el" href="_neon_backend_8cpp_source.xhtml#l00044">NeonBackend::GetIdStatic()</a>.</p> + </div> </div> <a id="a177af502214bbc8123fbb4a3c4f0a1b8"></a> @@ -741,12 +783,15 @@ Additional Inherited Members</h2></td></tr> </div><div class="memdoc"> <p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00044">44</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.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="keyword">static</span> <span class="keyword">const</span> BackendId s_Id{<a class="code" href="namespacearmnn.xhtml#a3a34a305e5187f3a3c67030d3bebbdb0">NeonBackendId</a>()};</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">return</span> s_Id;</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> }</div> +</div><!-- fragment --> <p class="reference">References <a class="el" href="_neon_backend_id_8hpp_source.xhtml#l00010">armnn::NeonBackendId()</a>.</p> <p class="reference">Referenced by <a class="el" href="_neon_backend_8hpp_source.xhtml#l00033">NeonBackend::GetId()</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="keyword">static</span> <span class="keyword">const</span> BackendId s_Id{<a class="code" href="namespacearmnn.xhtml#a3a34a305e5187f3a3c67030d3bebbdb0">NeonBackendId</a>()};</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">return</span> s_Id;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a3a34a305e5187f3a3c67030d3bebbdb0"><div class="ttname"><a href="namespacearmnn.xhtml#a3a34a305e5187f3a3c67030d3bebbdb0">armnn::NeonBackendId</a></div><div class="ttdeci">constexpr const char * NeonBackendId()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_id_8hpp_source.xhtml#l00010">NeonBackendId.hpp:10</a></div></div> -</div><!-- fragment --> + </div> </div> <a id="a93d4285a3ea5e4e3b35578484d889daa"></a> @@ -775,10 +820,13 @@ Additional Inherited Members</h2></td></tr> <p>Implements <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#ad86597efa7c25997572c80dc29f3104a">IBackendInternal</a>.</p> <p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00124">124</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> - -<p class="reference">Referenced by <a class="el" href="_neon_backend_8hpp_source.xhtml#l00033">NeonBackend::GetId()</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">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">new</span> NeonLayerSupport(<a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a>{})</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  };</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">return</span> layerSupport;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> }</div><div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a4d0238968a7643dbb170547dd22bba54"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#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.xhtml#l00096">IBackendInternal.hpp:96</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a11fa919c11fe46aad613b2e960fcfe90"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">armnn::IBackendInternal::ILayerSupportSharedPtr</a></div><div class="ttdeci">std::shared_ptr< ILayerSupport > ILayerSupportSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.xhtml#l00094">IBackendInternal.hpp:94</a></div></div> +<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">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  {</div> +<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">new</span> NeonLayerSupport(<a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a>{})</div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  };</div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">return</span> layerSupport;</div> +<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> }</div> </div><!-- fragment --> </div> </div> @@ -809,11 +857,16 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#aa654fe558005ad90f2e9a2e1f175ebce">IBackendInternal</a>.</p> <p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00133">133</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> - -<p class="reference">References <a class="el" href="_neon_backend_8cpp_source.xhtml#l00118">NeonBackend::CreateBackendSpecificModelContext()</a>.</p> -<div class="fragment"><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> {</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keyword">new</span> NeonLayerSupport(<a class="code" href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions))</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  };</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> layerSupport;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> }</div><div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a2482b4a7d5bde88e9b963be08017ce2b"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">armnn::NeonBackend::CreateBackendSpecificModelContext</a></div><div class="ttdeci">IBackendInternal::IBackendSpecificModelContextPtr CreateBackendSpecificModelContext(const ModelOptions &modelOptions) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00118">NeonBackend.cpp:118</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a11fa919c11fe46aad613b2e960fcfe90"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">armnn::IBackendInternal::ILayerSupportSharedPtr</a></div><div class="ttdeci">std::shared_ptr< ILayerSupport > ILayerSupportSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.xhtml#l00094">IBackendInternal.hpp:94</a></div></div> +<div class="fragment"><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> {</div> +<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div> +<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {</div> +<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keyword">new</span> NeonLayerSupport(<a class="code" href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions))</div> +<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  };</div> +<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> layerSupport;</div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span> }</div> </div><!-- fragment --> +<p class="reference">References <a class="el" href="_neon_backend_8cpp_source.xhtml#l00118">NeonBackend::CreateBackendSpecificModelContext()</a>.</p> + </div> </div> <a id="a339efc194a1738cd93fcdde4d948a5cd"></a> @@ -853,31 +906,300 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a3623ac8294bf071d68eb7d71383e9a83">IBackendInternal</a>.</p> <p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00142">142</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> - -<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="include_2armnn_2backends_2_optimization_views_8hpp_source.xhtml#l00049">OptimizationViews::AddUntouchedSubgraph()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::BatchNormalization</a>, <a class="el" href="_subgraph_view_8cpp_source.xhtml#l00324">SubgraphView::beginIConnectable()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00253">Layer::BeginOutputSlots()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::Convolution2d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::Division</a>, <a class="el" href="_subgraph_view_8cpp_source.xhtml#l00329">SubgraphView::endIConnectable()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00254">Layer::EndOutputSlots()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::FullyConnected</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00355">Layer::GetAdditionalInformation()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00330">Layer::GetGuid()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00324">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00319">Layer::GetName()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.xhtml#l00019">LayerWithParameters< Parameters >::GetParameters()</a>, <a class="el" href="include_2armnn_2backends_2_optimization_views_8hpp_source.xhtml#l00054">OptimizationViews::GetSubstitutions()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00092">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00273">Layer::GetType()</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.xhtml#l00023">BatchNormalizationLayer::m_Beta</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00550">Convolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00676">DepthwiseConvolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.xhtml#l00025">BatchNormalizationLayer::m_Gamma</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.xhtml#l00019">BatchNormalizationLayer::m_Mean</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.xhtml#l00021">BatchNormalizationLayer::m_Variance</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::Multiplication</a>, <a class="el" href="_neon_addition_workload_8cpp_source.xhtml#l00020">armnn::NeonAdditionWorkloadValidate()</a>, <a class="el" href="_neon_batch_normalization_workload_8cpp_source.xhtml#l00024">armnn::NeonBatchNormalizationValidate()</a>, <a class="el" href="_neon_convolution2d_workload_8cpp_source.xhtml#l00024">armnn::NeonConvolution2dWorkloadValidate()</a>, <a class="el" href="_neon_depthwise_convolution_workload_8cpp_source.xhtml#l00029">armnn::NeonDepthwiseConvolutionWorkloadValidate()</a>, <a class="el" href="_neon_division_workload_8cpp_source.xhtml#l00018">armnn::NeonDivisionWorkloadValidate()</a>, <a class="el" href="_neon_fully_connected_workload_8cpp_source.xhtml#l00024">armnn::NeonFullyConnectedWorkloadValidate()</a>, <a class="el" href="_neon_multiplication_workload_8cpp_source.xhtml#l00019">armnn::NeonMultiplicationWorkloadValidate()</a>, <a class="el" href="_neon_subtraction_workload_8cpp_source.xhtml#l00022">armnn::NeonSubtractionWorkloadValidate()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::Reduce</a>, <a class="el" href="_subgraph_utils_8hpp_source.xhtml#l00052">armnn::ReportUntouchedLayers()</a>, and <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::Subtraction</a>.</p> - -<p class="reference">Referenced by <a class="el" href="_neon_backend_8hpp_source.xhtml#l00033">NeonBackend::GetId()</a>.</p> -<div class="fragment"><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>  OptimizationViews optimizationViews(modelOptions);</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> it = subgraph.endIConnectable();</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  std::map<LayerGuid, Layer*> untouched;</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">while</span> (it != subgraph.beginIConnectable())</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>  --it;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  Layer& base = *(PolymorphicDowncast<Layer*>(*it));</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  untouched.insert({base.GetGuid(), &base});</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  }</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  it = subgraph.endIConnectable();</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">while</span> (it != subgraph.beginIConnectable())</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  {</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  --it;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  Layer& base = *(PolymorphicDowncast<Layer*>(*it));</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="comment">// Fuse activation into previous layer if supported by backend</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">if</span> ((base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a> || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a> || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a> || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a> || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>)</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  && (base.GetAdditionalInformation<ActivationDescriptor>() == <span class="keyword">nullptr</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">for</span> (<span class="keyword">auto</span> output = base.BeginOutputSlots(); output != base.EndOutputSlots(); ++output)</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">if</span> (output->GetNumConnections() == 1)</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="keywordflow">for</span> (<span class="keyword">auto</span>&& childInput : output->GetConnections())</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  {</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">if</span> ((childInput->GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>) &&</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  (checkDataTypeInputandOutput(childInput->GetOwningLayer())))</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  Layer& child = childInput->GetOwningLayer();</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">auto</span>* activationLayer = PolymorphicDowncast<ActivationLayer*>(&child);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">"fused-"</span>) + child.GetName() + std::string(<span class="stringliteral">"-into-"</span>) +</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  base.GetName();</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="comment">// Get params from activation layer</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  ActivationDescriptor activationDesc = activationLayer->GetParameters();</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">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</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>  Convolution2dLayer* baseLayer = PolymorphicDowncast<Convolution2dLayer*>(&base);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  Optional<TensorInfo> biases;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">if</span> (baseLayer->GetParameters().m_BiasEnabled)</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  {</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  biases = baseLayer->GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</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> </div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#a45691b0c4a46c239b4986cfed95de13b">NeonConvolution2dWorkloadValidate</a>(</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  baseLayer->GetParameters(),</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  biases,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">false</span>,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  &activationDesc);</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">if</span> (status)</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>  FuseConvolution2dLayer<Convolution2dLayer>(optimizationViews,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  baseLayer,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  activationLayer,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  activationDesc,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  name);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  untouched.erase(activationLayer->GetGuid());</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  }</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  }</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>)</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  DepthwiseConvolution2dLayer* baseLayer =</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  PolymorphicDowncast<DepthwiseConvolution2dLayer*>(&base);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  Optional<TensorInfo> biases;</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> (baseLayer->GetParameters().m_BiasEnabled)</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>  biases = baseLayer->GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  }</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>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#a63d684b26fb838b22123490d780bce08">NeonDepthwiseConvolutionWorkloadValidate</a>(</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  baseLayer->GetParameters(),</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  biases,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  &activationDesc);</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">if</span> (status)</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  {</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  FuseDepthwiseConvolution2dLayer<DepthwiseConvolution2dLayer>(optimizationViews,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  baseLayer,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  activationLayer,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  activationDesc,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  name);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  untouched.erase(activationLayer->GetGuid());</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  }</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  }</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>)</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  FullyConnectedLayer* baseLayer = PolymorphicDowncast<FullyConnectedLayer*>(&base);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  FullyConnectedDescriptor descriptor = baseLayer->GetParameters();</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="comment">// As bias is optional only try to get TensorInfo from input if bias is enabled.</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  Optional<TensorInfo> biases;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  {</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  biases = baseLayer->GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  }</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>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#ae455144d3472c502b636697f4775400c">NeonFullyConnectedWorkloadValidate</a>(</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  biases,</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  baseLayer->GetParameters(),</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  &activationDesc);</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">if</span> (status)</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>  FuseFullyConnectedLayer<FullyConnectedLayer>(optimizationViews,</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  baseLayer,</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  activationLayer,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  activationDesc,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  name);</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  untouched.erase(activationLayer->GetGuid());</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  }</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">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</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>  BatchNormalizationLayer* baseLayer =</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  PolymorphicDowncast<BatchNormalizationLayer*>(&base);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#ac1be1c9a317b23b5684c83af59fb2c96">NeonBatchNormalizationValidate</a>(</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  baseLayer->m_Mean->GetTensorInfo(),</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  baseLayer->m_Variance->GetTensorInfo(),</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  baseLayer->m_Beta->GetTensorInfo(),</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  baseLayer->m_Gamma->GetTensorInfo(),</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  baseLayer->GetParameters(),</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  &activationDesc);</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">if</span> (status)</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>  BatchNormalizationLayer* replacementLayer =</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  FuseBatchNormalizationLayer<BatchNormalizationLayer>(optimizationViews,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  baseLayer,</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  activationLayer,</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  activationDesc,</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  name);</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>  replacementLayer->m_Beta = std::move(baseLayer->m_Beta);</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  replacementLayer->m_Gamma = std::move(baseLayer->m_Gamma);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  replacementLayer->m_Mean = std::move(baseLayer->m_Mean);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  replacementLayer->m_Variance = std::move(baseLayer->m_Variance);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  untouched.erase(activationLayer->GetGuid());</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>  }</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>)</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  {</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  AdditionLayer* baseLayer = PolymorphicDowncast<AdditionLayer*>(&base);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> </div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#a1b03e82a1a53b686aedea3734b2fb957">NeonAdditionWorkloadValidate</a>(</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  &activationDesc);</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">if</span> (status)</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  {</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  FuseAdditionLayer<AdditionLayer>(optimizationViews,</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  baseLayer,</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  activationLayer,</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  activationDesc,</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  name);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  untouched.erase(activationLayer->GetGuid());</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>  }</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</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>  DivisionLayer* baseLayer = PolymorphicDowncast<DivisionLayer*>(&base);</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>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#a65c912bfcf02b3096f36caf21fa175d0">NeonDivisionWorkloadValidate</a>(</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  &activationDesc);</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">if</span> (status)</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  {</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  FuseDivisionLayer<DivisionLayer>(optimizationViews,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  baseLayer,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  activationLayer,</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  activationDesc,</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  name);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  untouched.erase(activationLayer->GetGuid());</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  }</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</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>  MultiplicationLayer* baseLayer = PolymorphicDowncast<MultiplicationLayer*>(&base);</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#ad512520e809bfed4fbd3db9fbc241263">NeonMultiplicationWorkloadValidate</a>(</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  &activationDesc);</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> </div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">if</span> (status)</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  {</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  FuseMultiplicationLayer<MultiplicationLayer>(optimizationViews,</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  baseLayer,</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  activationLayer,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  activationDesc,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  name);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  untouched.erase(activationLayer->GetGuid());</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  }</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  }</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>)</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  {</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  SubtractionLayer* baseLayer = PolymorphicDowncast<SubtractionLayer*>(&base);</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> </div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#abc968e1323027f9e42cbc7642800d5ce">NeonSubtractionWorkloadValidate</a>(</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  &activationDesc);</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> </div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">if</span> (status)</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  {</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  FuseSubtractionLayer<SubtractionLayer>(optimizationViews,</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  baseLayer,</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  activationLayer,</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  activationDesc,</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  name);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  untouched.erase(activationLayer->GetGuid());</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  }</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  }</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  }</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  }</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  }</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  }</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> </div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="comment">// Separate reduce layer with multiple axes into multiple reduce layers with 1 axis.</span></div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>)</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  ReduceLayer* baseLayer = PolymorphicDowncast<ReduceLayer*>(&base);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  ReduceDescriptor reduceDescriptor = baseLayer->GetParameters();</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="keywordflow">if</span> (!reduceDescriptor.m_vAxis.empty() && reduceDescriptor.m_vAxis.size() > 1)</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  {</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="comment">// Add new layers to the graph and connect them.</span></div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  std::vector<IConnectableLayer*> layers = ChainReduceLayers<ReduceLayer>(optimizationViews,</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  baseLayer,</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  reduceDescriptor);</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> </div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="comment">// Replace existing baselayer with new subgraph.</span></div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  ReplaceLayers<ReduceLayer>(optimizationViews, baseLayer, layers);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  }</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  }</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> </div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">if</span> (optimizationViews.GetSubstitutions().empty())</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  {</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  optimizationViews.AddUntouchedSubgraph(SubgraphView(subgraph));</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  }</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  {</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <a class="code" href="namespacearmnn.xhtml#aa1002c35597679b4f6624827524af04e">ReportUntouchedLayers</a>(optimizationViews, untouched);</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  }</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">return</span> optimizationViews;</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ac1be1c9a317b23b5684c83af59fb2c96"><div class="ttname"><a href="namespacearmnn.xhtml#ac1be1c9a317b23b5684c83af59fb2c96">armnn::NeonBatchNormalizationValidate</a></div><div class="ttdeci">arm_compute::Status NeonBatchNormalizationValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_batch_normalization_workload_8cpp_source.xhtml#l00024">NeonBatchNormalizationWorkload.cpp:24</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_aa1002c35597679b4f6624827524af04e"><div class="ttname"><a href="namespacearmnn.xhtml#aa1002c35597679b4f6624827524af04e">armnn::ReportUntouchedLayers</a></div><div class="ttdeci">void ReportUntouchedLayers(OptimizationViews &optimizationViews, std::map< LayerGuid, Layer *> untouched)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.xhtml#l00052">SubgraphUtils.hpp:52</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a63d684b26fb838b22123490d780bce08"><div class="ttname"><a href="namespacearmnn.xhtml#a63d684b26fb838b22123490d780bce08">armnn::NeonDepthwiseConvolutionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDepthwiseConvolutionWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_depthwise_convolution_workload_8cpp_source.xhtml#l00029">NeonDepthwiseConvolutionWorkload.cpp:29</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_ae455144d3472c502b636697f4775400c"><div class="ttname"><a href="namespacearmnn.xhtml#ae455144d3472c502b636697f4775400c">armnn::NeonFullyConnectedWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonFullyConnectedWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const Optional< TensorInfo > &biases, const FullyConnectedDescriptor &descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fully_connected_workload_8cpp_source.xhtml#l00024">NeonFullyConnectedWorkload.cpp:24</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a1b03e82a1a53b686aedea3734b2fb957"><div class="ttname"><a href="namespacearmnn.xhtml#a1b03e82a1a53b686aedea3734b2fb957">armnn::NeonAdditionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonAdditionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_addition_workload_8cpp_source.xhtml#l00020">NeonAdditionWorkload.cpp:20</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_abc968e1323027f9e42cbc7642800d5ce"><div class="ttname"><a href="namespacearmnn.xhtml#abc968e1323027f9e42cbc7642800d5ce">armnn::NeonSubtractionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSubtractionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_subtraction_workload_8cpp_source.xhtml#l00022">NeonSubtractionWorkload.cpp:22</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00042">Types.hpp:42</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a45691b0c4a46c239b4986cfed95de13b"><div class="ttname"><a href="namespacearmnn.xhtml#a45691b0c4a46c239b4986cfed95de13b">armnn::NeonConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, bool isFastMathEnabled, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convolution2d_workload_8cpp_source.xhtml#l00024">NeonConvolution2dWorkload.cpp:24</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a65c912bfcf02b3096f36caf21fa175d0"><div class="ttname"><a href="namespacearmnn.xhtml#a65c912bfcf02b3096f36caf21fa175d0">armnn::NeonDivisionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDivisionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_division_workload_8cpp_source.xhtml#l00018">NeonDivisionWorkload.cpp:18</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_ad512520e809bfed4fbd3db9fbc241263"><div class="ttname"><a href="namespacearmnn.xhtml#ad512520e809bfed4fbd3db9fbc241263">armnn::NeonMultiplicationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonMultiplicationWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_multiplication_workload_8cpp_source.xhtml#l00019">NeonMultiplicationWorkload.cpp:19</a></div></div> +<div class="fragment"><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>  OptimizationViews optimizationViews(modelOptions);</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> it = subgraph.endIConnectable();</div> +<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  std::map<LayerGuid, Layer*> untouched;</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">while</span> (it != subgraph.beginIConnectable())</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>  --it;</div> +<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  Layer& base = *(PolymorphicDowncast<Layer*>(*it));</div> +<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  untouched.insert({base.GetGuid(), &base});</div> +<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  }</div> +<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  </div> +<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  it = subgraph.endIConnectable();</div> +<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">while</span> (it != subgraph.beginIConnectable())</div> +<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  {</div> +<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  --it;</div> +<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  Layer& base = *(PolymorphicDowncast<Layer*>(*it));</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="comment">// Fuse activation into previous layer if supported by backend</span></div> +<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">if</span> ((base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a> || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a></div> +<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a> || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a></div> +<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a> || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a></div> +<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a> || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>)</div> +<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  && (base.GetAdditionalInformation<ActivationDescriptor>() == <span class="keyword">nullptr</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">for</span> (<span class="keyword">auto</span> output = base.BeginOutputSlots(); output != base.EndOutputSlots(); ++output)</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">if</span> (output->GetNumConnections() == 1)</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="keywordflow">for</span> (<span class="keyword">auto</span>&& childInput : output->GetConnections())</div> +<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  {</div> +<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">if</span> ((childInput->GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>) &&</div> +<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  (checkDataTypeInputandOutput(childInput->GetOwningLayer())))</div> +<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  {</div> +<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  Layer& child = childInput->GetOwningLayer();</div> +<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  </div> +<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">auto</span>* activationLayer = PolymorphicDowncast<ActivationLayer*>(&child);</div> +<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  </div> +<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">"fused-"</span>) + child.GetName() + std::string(<span class="stringliteral">"-into-"</span>) +</div> +<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  base.GetName();</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="comment">// Get params from activation layer</span></div> +<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  ActivationDescriptor activationDesc = activationLayer->GetParameters();</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">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</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>  Convolution2dLayer* baseLayer = PolymorphicDowncast<Convolution2dLayer*>(&base);</div> +<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  </div> +<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  Optional<TensorInfo> biases;</div> +<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  </div> +<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">if</span> (baseLayer->GetParameters().m_BiasEnabled)</div> +<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  {</div> +<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  biases = baseLayer->GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</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>  </div> +<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#a45691b0c4a46c239b4986cfed95de13b">NeonConvolution2dWorkloadValidate</a>(</div> +<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  baseLayer->GetParameters(),</div> +<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  biases,</div> +<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">false</span>,</div> +<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  &activationDesc);</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">if</span> (status)</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>  FuseConvolution2dLayer<Convolution2dLayer>(optimizationViews,</div> +<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  baseLayer,</div> +<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  activationLayer,</div> +<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  activationDesc,</div> +<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  name);</div> +<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  }</div> +<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  }</div> +<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>)</div> +<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {</div> +<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  DepthwiseConvolution2dLayer* baseLayer =</div> +<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  PolymorphicDowncast<DepthwiseConvolution2dLayer*>(&base);</div> +<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  </div> +<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  Optional<TensorInfo> biases;</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> (baseLayer->GetParameters().m_BiasEnabled)</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>  biases = baseLayer->GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</div> +<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  }</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>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#a63d684b26fb838b22123490d780bce08">NeonDepthwiseConvolutionWorkloadValidate</a>(</div> +<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  baseLayer->GetParameters(),</div> +<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  biases,</div> +<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  &activationDesc);</div> +<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  </div> +<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  {</div> +<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  FuseDepthwiseConvolution2dLayer<DepthwiseConvolution2dLayer>(optimizationViews,</div> +<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  baseLayer,</div> +<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  activationLayer,</div> +<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  activationDesc,</div> +<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  name);</div> +<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  }</div> +<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  }</div> +<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>)</div> +<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div> +<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  FullyConnectedLayer* baseLayer = PolymorphicDowncast<FullyConnectedLayer*>(&base);</div> +<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  FullyConnectedDescriptor descriptor = baseLayer->GetParameters();</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="comment">// As bias is optional only try to get TensorInfo from input if bias is enabled.</span></div> +<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  Optional<TensorInfo> biases;</div> +<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div> +<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  {</div> +<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  biases = baseLayer->GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</div> +<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  }</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>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#ae455144d3472c502b636697f4775400c">NeonFullyConnectedWorkloadValidate</a>(</div> +<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  biases,</div> +<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  baseLayer->GetParameters(),</div> +<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  &activationDesc);</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">if</span> (status)</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>  FuseFullyConnectedLayer<FullyConnectedLayer>(optimizationViews,</div> +<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  baseLayer,</div> +<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  activationLayer,</div> +<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  activationDesc,</div> +<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  name);</div> +<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  }</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">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</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>  BatchNormalizationLayer* baseLayer =</div> +<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  PolymorphicDowncast<BatchNormalizationLayer*>(&base);</div> +<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  </div> +<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#ac1be1c9a317b23b5684c83af59fb2c96">NeonBatchNormalizationValidate</a>(</div> +<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  baseLayer->m_Mean->GetTensorInfo(),</div> +<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  baseLayer->m_Variance->GetTensorInfo(),</div> +<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  baseLayer->m_Beta->GetTensorInfo(),</div> +<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  baseLayer->m_Gamma->GetTensorInfo(),</div> +<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  baseLayer->GetParameters(),</div> +<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  &activationDesc);</div> +<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  </div> +<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">if</span> (status)</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>  BatchNormalizationLayer* replacementLayer =</div> +<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  FuseBatchNormalizationLayer<BatchNormalizationLayer>(optimizationViews,</div> +<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  baseLayer,</div> +<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  activationLayer,</div> +<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  activationDesc,</div> +<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  name);</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>  replacementLayer->m_Beta = std::move(baseLayer->m_Beta);</div> +<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  replacementLayer->m_Gamma = std::move(baseLayer->m_Gamma);</div> +<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  replacementLayer->m_Mean = std::move(baseLayer->m_Mean);</div> +<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  replacementLayer->m_Variance = std::move(baseLayer->m_Variance);</div> +<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  untouched.erase(activationLayer->GetGuid());</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>  }</div> +<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>)</div> +<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  {</div> +<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  AdditionLayer* baseLayer = PolymorphicDowncast<AdditionLayer*>(&base);</div> +<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  </div> +<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#a1b03e82a1a53b686aedea3734b2fb957">NeonAdditionWorkloadValidate</a>(</div> +<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  &activationDesc);</div> +<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  </div> +<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  {</div> +<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  FuseAdditionLayer<AdditionLayer>(optimizationViews,</div> +<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  baseLayer,</div> +<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  activationLayer,</div> +<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  activationDesc,</div> +<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  name);</div> +<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  untouched.erase(activationLayer->GetGuid());</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>  }</div> +<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</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>  DivisionLayer* baseLayer = PolymorphicDowncast<DivisionLayer*>(&base);</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>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#a65c912bfcf02b3096f36caf21fa175d0">NeonDivisionWorkloadValidate</a>(</div> +<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  &activationDesc);</div> +<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  </div> +<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  {</div> +<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  FuseDivisionLayer<DivisionLayer>(optimizationViews,</div> +<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  baseLayer,</div> +<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  activationLayer,</div> +<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  activationDesc,</div> +<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  name);</div> +<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  }</div> +<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div> +<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</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>  MultiplicationLayer* baseLayer = PolymorphicDowncast<MultiplicationLayer*>(&base);</div> +<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  </div> +<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#ad512520e809bfed4fbd3db9fbc241263">NeonMultiplicationWorkloadValidate</a>(</div> +<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  &activationDesc);</div> +<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  </div> +<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  {</div> +<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  FuseMultiplicationLayer<MultiplicationLayer>(optimizationViews,</div> +<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  baseLayer,</div> +<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  activationLayer,</div> +<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  activationDesc,</div> +<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  name);</div> +<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  }</div> +<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  }</div> +<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>)</div> +<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  {</div> +<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  SubtractionLayer* baseLayer = PolymorphicDowncast<SubtractionLayer*>(&base);</div> +<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  </div> +<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#abc968e1323027f9e42cbc7642800d5ce">NeonSubtractionWorkloadValidate</a>(</div> +<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  &activationDesc);</div> +<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  </div> +<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  {</div> +<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  FuseSubtractionLayer<SubtractionLayer>(optimizationViews,</div> +<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  baseLayer,</div> +<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  activationLayer,</div> +<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  activationDesc,</div> +<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  name);</div> +<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  }</div> +<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  }</div> +<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  }</div> +<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  }</div> +<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  }</div> +<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  }</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>  </div> +<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="comment">// Separate reduce layer with multiple axes into multiple reduce layers with 1 axis.</span></div> +<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>)</div> +<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  {</div> +<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  ReduceLayer* baseLayer = PolymorphicDowncast<ReduceLayer*>(&base);</div> +<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  ReduceDescriptor reduceDescriptor = baseLayer->GetParameters();</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="keywordflow">if</span> (!reduceDescriptor.m_vAxis.empty() && reduceDescriptor.m_vAxis.size() > 1)</div> +<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  {</div> +<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="comment">// Add new layers to the graph and connect them.</span></div> +<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  std::vector<IConnectableLayer*> layers = ChainReduceLayers<ReduceLayer>(optimizationViews,</div> +<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  baseLayer,</div> +<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  reduceDescriptor);</div> +<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  </div> +<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="comment">// Replace existing baselayer with new subgraph.</span></div> +<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  ReplaceLayers<ReduceLayer>(optimizationViews, baseLayer, layers);</div> +<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  }</div> +<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  }</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>  </div> +<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">if</span> (optimizationViews.GetSubstitutions().empty())</div> +<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  {</div> +<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  optimizationViews.AddUntouchedSubgraph(SubgraphView(subgraph));</div> +<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  }</div> +<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  {</div> +<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <a class="code" href="namespacearmnn.xhtml#a5afd10e5e84ebf5cb8cfc8707492eda7">ReportUntouchedLayers</a>(optimizationViews, untouched);</div> +<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  }</div> +<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  </div> +<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">return</span> optimizationViews;</div> +<div class="line"><a name="l00434"></a><span class="lineno"> 434</span> }</div> </div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="include_2armnn_2backends_2_optimization_views_8hpp_source.xhtml#l00049">OptimizationViews::AddUntouchedSubgraph()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::BatchNormalization</a>, <a class="el" href="_subgraph_view_8cpp_source.xhtml#l00324">SubgraphView::beginIConnectable()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00253">Layer::BeginOutputSlots()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::Convolution2d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::Division</a>, <a class="el" href="_subgraph_view_8cpp_source.xhtml#l00329">SubgraphView::endIConnectable()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00254">Layer::EndOutputSlots()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::FullyConnected</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00355">Layer::GetAdditionalInformation()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00330">Layer::GetGuid()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00324">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00319">Layer::GetName()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.xhtml#l00019">LayerWithParameters< Parameters >::GetParameters()</a>, <a class="el" href="include_2armnn_2backends_2_optimization_views_8hpp_source.xhtml#l00054">OptimizationViews::GetSubstitutions()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00092">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00273">Layer::GetType()</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.xhtml#l00023">BatchNormalizationLayer::m_Beta</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00494">FullyConnectedDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00550">Convolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00676">DepthwiseConvolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.xhtml#l00025">BatchNormalizationLayer::m_Gamma</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.xhtml#l00019">BatchNormalizationLayer::m_Mean</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.xhtml#l00021">BatchNormalizationLayer::m_Variance</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01503">ReduceDescriptor::m_vAxis</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::Multiplication</a>, <a class="el" href="_neon_addition_workload_8cpp_source.xhtml#l00020">armnn::NeonAdditionWorkloadValidate()</a>, <a class="el" href="_neon_batch_normalization_workload_8cpp_source.xhtml#l00024">armnn::NeonBatchNormalizationValidate()</a>, <a class="el" href="_neon_convolution2d_workload_8cpp_source.xhtml#l00024">armnn::NeonConvolution2dWorkloadValidate()</a>, <a class="el" href="_neon_depthwise_convolution_workload_8cpp_source.xhtml#l00029">armnn::NeonDepthwiseConvolutionWorkloadValidate()</a>, <a class="el" href="_neon_division_workload_8cpp_source.xhtml#l00018">armnn::NeonDivisionWorkloadValidate()</a>, <a class="el" href="_neon_fully_connected_workload_8cpp_source.xhtml#l00024">armnn::NeonFullyConnectedWorkloadValidate()</a>, <a class="el" href="_neon_multiplication_workload_8cpp_source.xhtml#l00019">armnn::NeonMultiplicationWorkloadValidate()</a>, <a class="el" href="_neon_subtraction_workload_8cpp_source.xhtml#l00022">armnn::NeonSubtractionWorkloadValidate()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::Reduce</a>, <a class="el" href="_subgraph_utils_8hpp_source.xhtml#l00052">armnn::ReportUntouchedLayers()</a>, and <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::Subtraction</a>.</p> + </div> </div> <a id="a583bc4404a9d27ee1f8c46239637125d"></a> @@ -909,12 +1231,21 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a517bc1a44d6d2d7a45c1847fba287135">IBackendInternal</a>.</p> <p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.xhtml#l00441">441</a> of file <a class="el" href="_neon_backend_8cpp_source.xhtml">NeonBackend.cpp</a>.</p> - +<div class="fragment"><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="keyword">auto</span> memoryManager = std::make_shared<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div> +<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div> +<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  </div> +<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  registry.RegisterMemoryManager(memoryManager);</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="keyword">auto</span> factory = std::make_unique<NeonTensorHandleFactory>(memoryManager);</div> +<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="comment">// Register copy and import factory pair</span></div> +<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  registry.RegisterCopyAndImportFactoryPair(factory->GetId(), factory->GetId());</div> +<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="comment">// Register the factory</span></div> +<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  registry.RegisterFactory(std::move(factory));</div> +<div class="line"><a name="l00453"></a><span class="lineno"> 453</span> }</div> +</div><!-- fragment --> <p class="reference">References <a class="el" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::Offset</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, and <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>.</p> -<p class="reference">Referenced by <a class="el" href="_neon_backend_8hpp_source.xhtml#l00033">NeonBackend::GetId()</a>.</p> -<div class="fragment"><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="keyword">auto</span> memoryManager = std::make_shared<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  registry.RegisterMemoryManager(memoryManager);</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="keyword">auto</span> factory = std::make_unique<NeonTensorHandleFactory>(memoryManager);</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="comment">// Register copy and import factory pair</span></div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  registry.RegisterCopyAndImportFactoryPair(factory->GetId(), factory->GetId());</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="comment">// Register the factory</span></div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  registry.RegisterFactory(std::move(factory));</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> }</div><div class="ttc" id="classarmnn_1_1_base_memory_manager_xhtml_aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e"><div class="ttname"><a href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">armnn::BaseMemoryManager::MemoryAffinity::Offset</a></div></div> -</div><!-- fragment --> </div> </div> <hr/>The documentation for this class was generated from the following files:<ul> @@ -923,13 +1254,43 @@ Additional Inherited Members</h2></td></tr> </ul> </div><!-- contents --> </div><!-- doc-content --> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a3a34a305e5187f3a3c67030d3bebbdb0"><div class="ttname"><a href="namespacearmnn.xhtml#a3a34a305e5187f3a3c67030d3bebbdb0">armnn::NeonBackendId</a></div><div class="ttdeci">constexpr const char * NeonBackendId()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_id_8hpp_source.xhtml#l00010">NeonBackendId.hpp:10</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_neon_backend_xhtml_a177af502214bbc8123fbb4a3c4f0a1b8"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a177af502214bbc8123fbb4a3c4f0a1b8">armnn::NeonBackend::GetIdStatic</a></div><div class="ttdeci">static const BackendId & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00044">NeonBackend.cpp:44</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div><div class="ttdeci">@ Subtraction</div></div> +<div class="ttc" id="aclassarmnn_1_1_neon_tensor_handle_factory_xhtml_acdecb5b442434112c2cc8fc48c0ea922"><div class="ttname"><a href="classarmnn_1_1_neon_tensor_handle_factory.xhtml#acdecb5b442434112c2cc8fc48c0ea922">armnn::NeonTensorHandleFactory::GetIdStatic</a></div><div class="ttdeci">static const FactoryId & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_tensor_handle_factory_8cpp_source.xhtml#l00089">NeonTensorHandleFactory.cpp:89</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a45691b0c4a46c239b4986cfed95de13b"><div class="ttname"><a href="namespacearmnn.xhtml#a45691b0c4a46c239b4986cfed95de13b">armnn::NeonConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, bool isFastMathEnabled, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convolution2d_workload_8cpp_source.xhtml#l00024">NeonConvolution2dWorkload.cpp:24</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div><div class="ttdeci">@ Addition</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div><div class="ttdeci">@ Reduce</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div><div class="ttdeci">@ Division</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a5afd10e5e84ebf5cb8cfc8707492eda7"><div class="ttname"><a href="namespacearmnn.xhtml#a5afd10e5e84ebf5cb8cfc8707492eda7">armnn::ReportUntouchedLayers</a></div><div class="ttdeci">void ReportUntouchedLayers(OptimizationViews &optimizationViews, std::map< LayerGuid, Layer * > untouched)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.xhtml#l00052">SubgraphUtils.hpp:52</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a1b03e82a1a53b686aedea3734b2fb957"><div class="ttname"><a href="namespacearmnn.xhtml#a1b03e82a1a53b686aedea3734b2fb957">armnn::NeonAdditionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonAdditionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_addition_workload_8cpp_source.xhtml#l00020">NeonAdditionWorkload.cpp:20</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ae455144d3472c502b636697f4775400c"><div class="ttname"><a href="namespacearmnn.xhtml#ae455144d3472c502b636697f4775400c">armnn::NeonFullyConnectedWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonFullyConnectedWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const Optional< TensorInfo > &biases, const FullyConnectedDescriptor &descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fully_connected_workload_8cpp_source.xhtml#l00024">NeonFullyConnectedWorkload.cpp:24</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div> +<div class="ttc" id="aclassarmnn_1_1_neon_backend_xhtml_a2482b4a7d5bde88e9b963be08017ce2b"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">armnn::NeonBackend::CreateBackendSpecificModelContext</a></div><div class="ttdeci">IBackendInternal::IBackendSpecificModelContextPtr CreateBackendSpecificModelContext(const ModelOptions &modelOptions) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00118">NeonBackend.cpp:118</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_xhtml_a4d0238968a7643dbb170547dd22bba54"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#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.xhtml#l00096">IBackendInternal.hpp:96</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac1be1c9a317b23b5684c83af59fb2c96"><div class="ttname"><a href="namespacearmnn.xhtml#ac1be1c9a317b23b5684c83af59fb2c96">armnn::NeonBatchNormalizationValidate</a></div><div class="ttdeci">arm_compute::Status NeonBatchNormalizationValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_batch_normalization_workload_8cpp_source.xhtml#l00024">NeonBatchNormalizationWorkload.cpp:24</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_xhtml_ae44a82b0e485e551a0f77150b1076e06"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#ae44a82b0e485e551a0f77150b1076e06">armnn::IBackendInternal::IBackendProfilingContextPtr</a></div><div class="ttdeci">std::shared_ptr< arm::pipe::IBackendProfilingContext > IBackendProfilingContextPtr</div><div class="ttdoc">This is the bridge between backend and backend profiling we'll keep it in the backend namespace.</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.xhtml#l00092">IBackendInternal.hpp:92</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a140decc881c774b2cf515db7bc161a4e"><div class="ttname"><a href="namespacearmnn.xhtml#a140decc881c774b2cf515db7bc161a4e">armnn::cpuAccCapabilities</a></div><div class="ttdeci">const BackendCapabilities cpuAccCapabilities("CpuAcc", { {"NonConstWeights", false}, {"AsyncExecution", false}, {"ProtectedContentAllocation", false}, {"ConstantTensorsAsInputs", true}, {"PreImportIOTensors", false}, {"ExternallyManagedMemory", true}, {"MultiAxisPacking", false}, {"SingleAxisPacking", true} })</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00042">Types.hpp:42</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_xhtml_a11fa919c11fe46aad613b2e960fcfe90"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">armnn::IBackendInternal::ILayerSupportSharedPtr</a></div><div class="ttdeci">std::shared_ptr< ILayerSupport > ILayerSupportSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.xhtml#l00094">IBackendInternal.hpp:94</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_abc968e1323027f9e42cbc7642800d5ce"><div class="ttname"><a href="namespacearmnn.xhtml#abc968e1323027f9e42cbc7642800d5ce">armnn::NeonSubtractionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSubtractionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_subtraction_workload_8cpp_source.xhtml#l00022">NeonSubtractionWorkload.cpp:22</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a65c912bfcf02b3096f36caf21fa175d0"><div class="ttname"><a href="namespacearmnn.xhtml#a65c912bfcf02b3096f36caf21fa175d0">armnn::NeonDivisionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDivisionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_division_workload_8cpp_source.xhtml#l00018">NeonDivisionWorkload.cpp:18</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_base_memory_manager_xhtml_aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e"><div class="ttname"><a href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">armnn::BaseMemoryManager::MemoryAffinity::Offset</a></div><div class="ttdeci">@ Offset</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_xhtml_ada6d56575c0fe53cf23c7ae4610c6367"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#ada6d56575c0fe53cf23c7ae4610c6367">armnn::IBackendInternal::IBackendContextPtr</a></div><div class="ttdeci">std::unique_ptr< IBackendContext > IBackendContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.xhtml#l00090">IBackendInternal.hpp:90</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad512520e809bfed4fbd3db9fbc241263"><div class="ttname"><a href="namespacearmnn.xhtml#ad512520e809bfed4fbd3db9fbc241263">armnn::NeonMultiplicationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonMultiplicationWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_multiplication_workload_8cpp_source.xhtml#l00019">NeonMultiplicationWorkload.cpp:19</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div><div class="ttdeci">@ Multiplication</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a63d684b26fb838b22123490d780bce08"><div class="ttname"><a href="namespacearmnn.xhtml#a63d684b26fb838b22123490d780bce08">armnn::NeonDepthwiseConvolutionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDepthwiseConvolutionWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_depthwise_convolution_workload_8cpp_source.xhtml#l00029">NeonDepthwiseConvolutionWorkload.cpp:29</a></div></div> <!-- start footer part --> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_neon_backend.xhtml">NeonBackend</a></li> - <li class="footer">Generated on Fri Feb 24 2023 10:24:31 for ArmNN by + <li class="footer">Generated on Wed Mar 22 2023 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