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94<div class="header">
95 <div class="summary">
96<a href="#pub-methods">Public Member Functions</a> &#124;
97<a href="#pub-static-methods">Static Public Member Functions</a> &#124;
98<a href="classarmnn_1_1_neon_backend-members.html">List of all members</a> </div>
99 <div class="headertitle">
100<div class="title">NeonBackend Class Reference</div> </div>
101</div><!--header-->
102<div class="contents">
103
104<p><code>#include &lt;<a class="el" href="_neon_backend_8hpp_source.html">NeonBackend.hpp</a>&gt;</code></p>
105<div class="dynheader">
106Inheritance diagram for NeonBackend:</div>
107<div class="dyncontent">
108<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_neon_backend__inherit__graph.svg" width="142" height="187"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
109</div>
110<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
111<div class="dynheader">
112Collaboration diagram for NeonBackend:</div>
113<div class="dyncontent">
114<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_neon_backend__coll__graph.svg" width="142" height="187"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
115</div>
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117<table class="memberdecls">
118<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
119Public Member Functions</h2></td></tr>
120<tr class="memitem:a1d64639ac88622afa0d86f7943f39d99"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a1d64639ac88622afa0d86f7943f39d99">NeonBackend</a> ()=default</td></tr>
121<tr class="separator:a1d64639ac88622afa0d86f7943f39d99"><td class="memSeparator" colspan="2">&#160;</td></tr>
122<tr class="memitem:a40ea6686e7870a7b7c4f97877294e1b3"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a40ea6686e7870a7b7c4f97877294e1b3">~NeonBackend</a> ()=default</td></tr>
123<tr class="separator:a40ea6686e7870a7b7c4f97877294e1b3"><td class="memSeparator" colspan="2">&#160;</td></tr>
124<tr class="memitem:a6c6c3d137a7792e264a89cc40ea94bb0"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a6c6c3d137a7792e264a89cc40ea94bb0">GetId</a> () const override</td></tr>
125<tr class="separator:a6c6c3d137a7792e264a89cc40ea94bb0"><td class="memSeparator" colspan="2">&#160;</td></tr>
126<tr class="memitem:a93fcb3bff141d8c77b53466a44b58eee"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a12bff6d51d63dac1375c89bc8415dc46">IBackendInternal::IMemoryManagerUniquePtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a93fcb3bff141d8c77b53466a44b58eee">CreateMemoryManager</a> () const override</td></tr>
127<tr class="separator:a93fcb3bff141d8c77b53466a44b58eee"><td class="memSeparator" colspan="2">&#160;</td></tr>
128<tr class="memitem:a8e19e275c8162e34e6d8d10a9245dbc9"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IWorkloadFactoryPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a8e19e275c8162e34e6d8d10a9245dbc9">CreateWorkloadFactory</a> (const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager=nullptr) const override</td></tr>
129<tr class="separator:a8e19e275c8162e34e6d8d10a9245dbc9"><td class="memSeparator" colspan="2">&#160;</td></tr>
130<tr class="memitem:afb0e4b4255c996c68fe87e3c13451a43"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IWorkloadFactoryPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#afb0e4b4255c996c68fe87e3c13451a43">CreateWorkloadFactory</a> (class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;tensorHandleFactoryRegistry) const override</td></tr>
131<tr class="separator:afb0e4b4255c996c68fe87e3c13451a43"><td class="memSeparator" colspan="2">&#160;</td></tr>
132<tr class="memitem:a19441d1c63ca23efb8d4305933bcb712"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IWorkloadFactoryPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a19441d1c63ca23efb8d4305933bcb712">CreateWorkloadFactory</a> (const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;modelOptions) const override</td></tr>
133<tr class="separator:a19441d1c63ca23efb8d4305933bcb712"><td class="memSeparator" colspan="2">&#160;</td></tr>
134<tr class="memitem:a95c304f397c4ef9f0108834e16631219"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IWorkloadFactoryPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a95c304f397c4ef9f0108834e16631219">CreateWorkloadFactory</a> (class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;tensorHandleFactoryRegistry, const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;modelOptions) const override</td></tr>
135<tr class="separator:a95c304f397c4ef9f0108834e16631219"><td class="memSeparator" colspan="2">&#160;</td></tr>
136<tr class="memitem:a801cf3170dc777aca3e6f926d1bd70a5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendInternal::IBackendContextPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a801cf3170dc777aca3e6f926d1bd70a5">CreateBackendContext</a> (const <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">IRuntime::CreationOptions</a> &amp;) const override</td></tr>
137<tr class="memdesc:a801cf3170dc777aca3e6f926d1bd70a5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create the runtime context of the backend. <a href="classarmnn_1_1_neon_backend.html#a801cf3170dc777aca3e6f926d1bd70a5">More...</a><br /></td></tr>
138<tr class="separator:a801cf3170dc777aca3e6f926d1bd70a5"><td class="memSeparator" colspan="2">&#160;</td></tr>
139<tr class="memitem:a68c2ef244261cc9649799284774af132"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendInternal::IBackendProfilingContextPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a68c2ef244261cc9649799284774af132">CreateBackendProfilingContext</a> (const <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">IRuntime::CreationOptions</a> &amp;, <a class="el" href="classarmnn_1_1_i_backend_internal.html#a335964abd41c91f7e6ef5c65865a7b98">IBackendProfilingPtr</a> &amp;backendProfiling) override</td></tr>
140<tr class="memdesc:a68c2ef244261cc9649799284774af132"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create context specifically used for profiling interaction from backends. <a href="classarmnn_1_1_neon_backend.html#a68c2ef244261cc9649799284774af132">More...</a><br /></td></tr>
141<tr class="separator:a68c2ef244261cc9649799284774af132"><td class="memSeparator" colspan="2">&#160;</td></tr>
142<tr class="memitem:a93d4285a3ea5e4e3b35578484d889daa"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">IBackendInternal::ILayerSupportSharedPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a93d4285a3ea5e4e3b35578484d889daa">GetLayerSupport</a> () const override</td></tr>
143<tr class="separator:a93d4285a3ea5e4e3b35578484d889daa"><td class="memSeparator" colspan="2">&#160;</td></tr>
144<tr class="memitem:a9e458b98037dbb048877d0fc3fdbd17d"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">IBackendInternal::ILayerSupportSharedPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a9e458b98037dbb048877d0fc3fdbd17d">GetLayerSupport</a> (const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;modelOptions) const override</td></tr>
145<tr class="separator:a9e458b98037dbb048877d0fc3fdbd17d"><td class="memSeparator" colspan="2">&#160;</td></tr>
146<tr class="memitem:a339efc194a1738cd93fcdde4d948a5cd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a339efc194a1738cd93fcdde4d948a5cd">OptimizeSubgraphView</a> (const <a class="el" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a> &amp;subgraph, const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;modelOptions) const override</td></tr>
147<tr class="separator:a339efc194a1738cd93fcdde4d948a5cd"><td class="memSeparator" colspan="2">&#160;</td></tr>
148<tr class="memitem:a63559c7f206c265f5fff5ffcc8a58e3e"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a63559c7f206c265f5fff5ffcc8a58e3e">GetHandleFactoryPreferences</a> () const override</td></tr>
149<tr class="memdesc:a63559c7f206c265f5fff5ffcc8a58e3e"><td class="mdescLeft">&#160;</td><td class="mdescRight">(<a class="el" href="classarmnn_1_1_optional.html">Optional</a>) Returns a vector of supported TensorHandleFactory ids in preference order. <a href="classarmnn_1_1_neon_backend.html#a63559c7f206c265f5fff5ffcc8a58e3e">More...</a><br /></td></tr>
150<tr class="separator:a63559c7f206c265f5fff5ffcc8a58e3e"><td class="memSeparator" colspan="2">&#160;</td></tr>
151<tr class="memitem:a583bc4404a9d27ee1f8c46239637125d"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a583bc4404a9d27ee1f8c46239637125d">RegisterTensorHandleFactories</a> (class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;registry) override</td></tr>
152<tr class="memdesc:a583bc4404a9d27ee1f8c46239637125d"><td class="mdescLeft">&#160;</td><td class="mdescRight">(<a class="el" href="classarmnn_1_1_optional.html">Optional</a>) Register TensorHandleFactories Either this method or <a class="el" href="classarmnn_1_1_neon_backend.html#a93fcb3bff141d8c77b53466a44b58eee">CreateMemoryManager()</a> and IWorkloadFactory::CreateTensor() IWorkloadFactory::CreateSubtensor() methods must be implemented. <a href="classarmnn_1_1_neon_backend.html#a583bc4404a9d27ee1f8c46239637125d">More...</a><br /></td></tr>
153<tr class="separator:a583bc4404a9d27ee1f8c46239637125d"><td class="memSeparator" colspan="2">&#160;</td></tr>
154<tr class="memitem:a2482b4a7d5bde88e9b963be08017ce2b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a> (const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;modelOptions) const override</td></tr>
155<tr class="separator:a2482b4a7d5bde88e9b963be08017ce2b"><td class="memSeparator" colspan="2">&#160;</td></tr>
156<tr class="memitem:ab9199ff425571ba62412bb903c2c933e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#aa9c506b558b8aa33a228b15164f40dc3">BackendCapabilities</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#ab9199ff425571ba62412bb903c2c933e">GetCapabilities</a> () const override</td></tr>
157<tr class="memdesc:ab9199ff425571ba62412bb903c2c933e"><td class="mdescLeft">&#160;</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.html" 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.html#ab9199ff425571ba62412bb903c2c933e">More...</a><br /></td></tr>
158<tr class="separator:ab9199ff425571ba62412bb903c2c933e"><td class="memSeparator" colspan="2">&#160;</td></tr>
159<tr class="memitem:afb75bad43612f5314622c4fa8a16e63d"><td class="memItemLeft" align="right" valign="top">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#afb75bad43612f5314622c4fa8a16e63d">GetDefaultAllocator</a> () const override</td></tr>
160<tr class="memdesc:afb75bad43612f5314622c4fa8a16e63d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the default memory allocator for the backend. <a href="classarmnn_1_1_neon_backend.html#afb75bad43612f5314622c4fa8a16e63d">More...</a><br /></td></tr>
161<tr class="separator:afb75bad43612f5314622c4fa8a16e63d"><td class="memSeparator" colspan="2">&#160;</td></tr>
162<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="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_backend_internal.html">IBackendInternal</a></td></tr>
163<tr class="memitem:a8c507c220869f89aec2dc370ea6c5a0b inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a8c507c220869f89aec2dc370ea6c5a0b">~IBackendInternal</a> () override=default</td></tr>
164<tr class="memdesc:a8c507c220869f89aec2dc370ea6c5a0b inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow backends created by the factory function to be destroyed through <a class="el" href="classarmnn_1_1_i_backend_internal.html">IBackendInternal</a>. <a href="classarmnn_1_1_i_backend_internal.html#a8c507c220869f89aec2dc370ea6c5a0b">More...</a><br /></td></tr>
165<tr class="separator:a8c507c220869f89aec2dc370ea6c5a0b inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
166<tr class="memitem:a6abedf4465c7f6b634a207d228cdf284 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IWorkloadFactoryPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a6abedf4465c7f6b634a207d228cdf284">CreateWorkloadFactory</a> (class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;tensorHandleFactoryRegistry, const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;modelOptions, <a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> inputFlags, <a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> outputFlags) const</td></tr>
167<tr class="separator:a6abedf4465c7f6b634a207d228cdf284 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
168<tr class="memitem:a674f56c735a3d6300463cefb642f808a inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a674f56c735a3d6300463cefb642f808a">OptimizeSubgraphView</a> (const <a class="el" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a> &amp;subgraph) const</td></tr>
169<tr class="separator:a674f56c735a3d6300463cefb642f808a inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
170<tr class="memitem:af8f716b0eab6b9d63196d5a53d5fac81 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#af8f716b0eab6b9d63196d5a53d5fac81">SupportsTensorAllocatorAPI</a> () const</td></tr>
171<tr class="separator:af8f716b0eab6b9d63196d5a53d5fac81 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
172<tr class="memitem:a6ccbb386cc96a5336a8295a3c25d33dd inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a6ccbb386cc96a5336a8295a3c25d33dd">GetBackwardCompatibleFavoriteHandleFactory</a> ()</td></tr>
173<tr class="separator:a6ccbb386cc96a5336a8295a3c25d33dd inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
174<tr class="memitem:a36b46ce669164b5188cb21796557d897 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a36b46ce669164b5188cb21796557d897">RegisterTensorHandleFactories</a> (class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;registry, <a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> inputFlags, <a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> outputFlags)</td></tr>
175<tr class="memdesc:a36b46ce669164b5188cb21796557d897 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft">&#160;</td><td class="mdescRight">(<a class="el" href="classarmnn_1_1_optional.html">Optional</a>) Register TensorHandleFactories Either this method or <a class="el" href="classarmnn_1_1_i_backend_internal.html#a0fe4c12c8f1f0722d2a91f61c02a687a">CreateMemoryManager()</a> and IWorkloadFactory::CreateTensor() IWorkloadFactory::CreateSubtensor() methods must be implemented. <a href="classarmnn_1_1_i_backend_internal.html#a36b46ce669164b5188cb21796557d897">More...</a><br /></td></tr>
176<tr class="separator:a36b46ce669164b5188cb21796557d897 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
177<tr class="memitem:a8a8eb1a5eb458445a2e5a7c7cd4424cb inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a8a8eb1a5eb458445a2e5a7c7cd4424cb">UseCustomMemoryAllocator</a> (std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> &gt; allocator, <a class="el" href="classarmnn_1_1_optional.html">armnn::Optional</a>&lt; std::string &amp; &gt; errMsg)</td></tr>
178<tr class="memdesc:a8a8eb1a5eb458445a2e5a7c7cd4424cb inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft">&#160;</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.html#a8a8eb1a5eb458445a2e5a7c7cd4424cb">More...</a><br /></td></tr>
179<tr class="separator:a8a8eb1a5eb458445a2e5a7c7cd4424cb inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
180<tr class="memitem:a87d128382876683170ffc3529aadabbf inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a87d128382876683170ffc3529aadabbf">GetNumberOfCacheFiles</a> () const</td></tr>
181<tr class="memdesc:a87d128382876683170ffc3529aadabbf inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of files cached if backend supports caching. <a href="classarmnn_1_1_i_backend_internal.html#a87d128382876683170ffc3529aadabbf">More...</a><br /></td></tr>
182<tr class="separator:a87d128382876683170ffc3529aadabbf inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
183<tr class="memitem:a86a4b2845b0da158907d657c7b147ab0 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a86a4b2845b0da158907d657c7b147ab0">CreateExecutionData</a> (<a class="el" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a> &amp;workingMemDescriptor) const</td></tr>
184<tr class="memdesc:a86a4b2845b0da158907d657c7b147ab0 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns ExecutionData for the backend. <a href="classarmnn_1_1_i_backend_internal.html#a86a4b2845b0da158907d657c7b147ab0">More...</a><br /></td></tr>
185<tr class="separator:a86a4b2845b0da158907d657c7b147ab0 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
186<tr class="memitem:adf96527a67532246f07ce44266e95e79 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#adf96527a67532246f07ce44266e95e79">UpdateExecutionData</a> (<a class="el" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a> &amp;executionData, <a class="el" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a> &amp;workingMemDescriptor) const</td></tr>
187<tr class="memdesc:adf96527a67532246f07ce44266e95e79 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft">&#160;</td><td class="mdescRight">Update the ExecutionData for a layer. <a href="classarmnn_1_1_i_backend_internal.html#adf96527a67532246f07ce44266e95e79">More...</a><br /></td></tr>
188<tr class="separator:adf96527a67532246f07ce44266e95e79 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
189</table><table class="memberdecls">
190<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
191Static Public Member Functions</h2></td></tr>
192<tr class="memitem:a177af502214bbc8123fbb4a3c4f0a1b8"><td class="memItemLeft" align="right" valign="top">static const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">GetIdStatic</a> ()</td></tr>
193<tr class="separator:a177af502214bbc8123fbb4a3c4f0a1b8"><td class="memSeparator" colspan="2">&#160;</td></tr>
194<tr class="inherit_header pub_static_methods_classarmnn_1_1_i_backend_internal"><td colspan="2" onclick="javascript:toggleInherit('pub_static_methods_classarmnn_1_1_i_backend_internal')"><img src="closed.png" alt="-"/>&#160;Static Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_backend_internal.html">IBackendInternal</a></td></tr>
195<tr class="memitem:a878b8f50d8a2f92ed624803e9f6968ae inherit pub_static_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">static constexpr <a class="el" href="structarmnn_1_1_backend_version.html">BackendVersion</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a878b8f50d8a2f92ed624803e9f6968ae">GetApiVersion</a> ()</td></tr>
196<tr class="memdesc:a878b8f50d8a2f92ed624803e9f6968ae inherit pub_static_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the version of the Backend API. <a href="classarmnn_1_1_i_backend_internal.html#a878b8f50d8a2f92ed624803e9f6968ae">More...</a><br /></td></tr>
197<tr class="separator:a878b8f50d8a2f92ed624803e9f6968ae inherit pub_static_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
198</table><table class="memberdecls">
199<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
200Additional Inherited Members</h2></td></tr>
201<tr class="inherit_header pub_types_classarmnn_1_1_i_backend_internal"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classarmnn_1_1_i_backend_internal')"><img src="closed.png" alt="-"/>&#160;Public Types inherited from <a class="el" href="classarmnn_1_1_i_backend_internal.html">IBackendInternal</a></td></tr>
202<tr class="memitem:a72ca1cf423bda4b0a9ffb789627126de inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IWorkloadFactoryPtr</a> = std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> &gt;</td></tr>
203<tr class="separator:a72ca1cf423bda4b0a9ffb789627126de inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
204<tr class="memitem:ada6d56575c0fe53cf23c7ae4610c6367 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendContextPtr</a> = std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_backend_context.html">IBackendContext</a> &gt;</td></tr>
205<tr class="separator:ada6d56575c0fe53cf23c7ae4610c6367 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
206<tr class="memitem:ae44a82b0e485e551a0f77150b1076e06 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendProfilingContextPtr</a> = std::shared_ptr&lt; arm::pipe::IBackendProfilingContext &gt;</td></tr>
207<tr class="memdesc:ae44a82b0e485e551a0f77150b1076e06 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="mdescLeft">&#160;</td><td class="mdescRight">This is the bridge between backend and backend profiling we'll keep it in the backend namespace. <a href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">More...</a><br /></td></tr>
208<tr class="separator:ae44a82b0e485e551a0f77150b1076e06 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
209<tr class="memitem:a335964abd41c91f7e6ef5c65865a7b98 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a335964abd41c91f7e6ef5c65865a7b98">IBackendProfilingPtr</a> = std::unique_ptr&lt; arm::pipe::IBackendProfiling &gt;</td></tr>
210<tr class="separator:a335964abd41c91f7e6ef5c65865a7b98 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
211<tr class="memitem:a11fa919c11fe46aad613b2e960fcfe90 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> = std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_i_layer_support.html">ILayerSupport</a> &gt;</td></tr>
212<tr class="separator:a11fa919c11fe46aad613b2e960fcfe90 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
213<tr class="memitem:a4d0238968a7643dbb170547dd22bba54 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendSpecificModelContextPtr</a> = std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_i_backend_model_context.html">IBackendModelContext</a> &gt;</td></tr>
214<tr class="separator:a4d0238968a7643dbb170547dd22bba54 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
215<tr class="memitem:a12bff6d51d63dac1375c89bc8415dc46 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a12bff6d51d63dac1375c89bc8415dc46">IMemoryManagerUniquePtr</a> = std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_memory_manager.html">IMemoryManager</a> &gt;</td></tr>
216<tr class="separator:a12bff6d51d63dac1375c89bc8415dc46 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
217<tr class="memitem:a693b40e6b94e958836aeb0410ca186bd inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">IMemoryManagerSharedPtr</a> = std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_i_memory_manager.html">IMemoryManager</a> &gt;</td></tr>
218<tr class="separator:a693b40e6b94e958836aeb0410ca186bd inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
219<tr class="inherit_header pro_methods_classarmnn_1_1_i_backend_internal"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_i_backend_internal')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_backend_internal.html">IBackendInternal</a></td></tr>
220<tr class="memitem:a675fed08e681be4343fb09ae73eb7641 inherit pro_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a675fed08e681be4343fb09ae73eb7641">IBackendInternal</a> ()=default</td></tr>
221<tr class="memdesc:a675fed08e681be4343fb09ae73eb7641 inherit pro_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creation must be done through a specific backend interface. <a href="classarmnn_1_1_i_backend_internal.html#a675fed08e681be4343fb09ae73eb7641">More...</a><br /></td></tr>
222<tr class="separator:a675fed08e681be4343fb09ae73eb7641 inherit pro_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
223<tr class="inherit_header pro_methods_classarmnn_1_1_i_backend"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_i_backend')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_backend.html">IBackend</a></td></tr>
224<tr class="memitem:a7cfc55eae265fa65b7d25e7dd3203f22 inherit pro_methods_classarmnn_1_1_i_backend"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend.html#a7cfc55eae265fa65b7d25e7dd3203f22">IBackend</a> ()</td></tr>
225<tr class="separator:a7cfc55eae265fa65b7d25e7dd3203f22 inherit pro_methods_classarmnn_1_1_i_backend"><td class="memSeparator" colspan="2">&#160;</td></tr>
226<tr class="memitem:aa73289e0503a4f7ec5909e117a57aa2b inherit pro_methods_classarmnn_1_1_i_backend"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend.html#aa73289e0503a4f7ec5909e117a57aa2b">~IBackend</a> ()</td></tr>
227<tr class="separator:aa73289e0503a4f7ec5909e117a57aa2b inherit pro_methods_classarmnn_1_1_i_backend"><td class="memSeparator" colspan="2">&#160;</td></tr>
228</table>
229<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
230<div class="textblock">
231<p class="definition">Definition at line <a class="el" href="_neon_backend_8hpp_source.html#l00029">29</a> of file <a class="el" href="_neon_backend_8hpp_source.html">NeonBackend.hpp</a>.</p>
232</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
233<a id="a1d64639ac88622afa0d86f7943f39d99"></a>
234<h2 class="memtitle"><span class="permalink"><a href="#a1d64639ac88622afa0d86f7943f39d99">&#9670;&nbsp;</a></span>NeonBackend()</h2>
235
236<div class="memitem">
237<div class="memproto">
238<table class="mlabels">
239 <tr>
240 <td class="mlabels-left">
241 <table class="memname">
242 <tr>
243 <td class="memname"><a class="el" href="classarmnn_1_1_neon_backend.html">NeonBackend</a> </td>
244 <td>(</td>
245 <td class="paramname"></td><td>)</td>
246 <td></td>
247 </tr>
248 </table>
249 </td>
250 <td class="mlabels-right">
251<span class="mlabels"><span class="mlabel">default</span></span> </td>
252 </tr>
253</table>
254</div><div class="memdoc">
255
256</div>
257</div>
258<a id="a40ea6686e7870a7b7c4f97877294e1b3"></a>
259<h2 class="memtitle"><span class="permalink"><a href="#a40ea6686e7870a7b7c4f97877294e1b3">&#9670;&nbsp;</a></span>~NeonBackend()</h2>
260
261<div class="memitem">
262<div class="memproto">
263<table class="mlabels">
264 <tr>
265 <td class="mlabels-left">
266 <table class="memname">
267 <tr>
268 <td class="memname">~<a class="el" href="classarmnn_1_1_neon_backend.html">NeonBackend</a> </td>
269 <td>(</td>
270 <td class="paramname"></td><td>)</td>
271 <td></td>
272 </tr>
273 </table>
274 </td>
275 <td class="mlabels-right">
276<span class="mlabels"><span class="mlabel">default</span></span> </td>
277 </tr>
278</table>
279</div><div class="memdoc">
280
281</div>
282</div>
283<h2 class="groupheader">Member Function Documentation</h2>
284<a id="a801cf3170dc777aca3e6f926d1bd70a5"></a>
285<h2 class="memtitle"><span class="permalink"><a href="#a801cf3170dc777aca3e6f926d1bd70a5">&#9670;&nbsp;</a></span>CreateBackendContext()</h2>
286
287<div class="memitem">
288<div class="memproto">
289<table class="mlabels">
290 <tr>
291 <td class="mlabels-left">
292 <table class="memname">
293 <tr>
294 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendInternal::IBackendContextPtr</a> CreateBackendContext </td>
295 <td>(</td>
296 <td class="paramtype">const <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">IRuntime::CreationOptions</a> &amp;&#160;</td>
297 <td class="paramname"></td><td>)</td>
298 <td> const</td>
299 </tr>
300 </table>
301 </td>
302 <td class="mlabels-right">
303<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
304 </tr>
305</table>
306</div><div class="memdoc">
307
308<p>Create the runtime context of the backend. </p>
309<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.html" 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>
310
311<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a07a1b3f9ac897364b5c2aacc227cbebc">IBackendInternal</a>.</p>
312
313<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00109">109</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
314<div class="fragment"><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;{</div>
315<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendContextPtr</a>{};</div>
316<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;}</div>
317</div><!-- fragment -->
318</div>
319</div>
320<a id="a68c2ef244261cc9649799284774af132"></a>
321<h2 class="memtitle"><span class="permalink"><a href="#a68c2ef244261cc9649799284774af132">&#9670;&nbsp;</a></span>CreateBackendProfilingContext()</h2>
322
323<div class="memitem">
324<div class="memproto">
325<table class="mlabels">
326 <tr>
327 <td class="mlabels-left">
328 <table class="memname">
329 <tr>
330 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendInternal::IBackendProfilingContextPtr</a> CreateBackendProfilingContext </td>
331 <td>(</td>
332 <td class="paramtype">const <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">IRuntime::CreationOptions</a> &amp;&#160;</td>
333 <td class="paramname"><em>creationOptions</em>, </td>
334 </tr>
335 <tr>
336 <td class="paramkey"></td>
337 <td></td>
338 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a335964abd41c91f7e6ef5c65865a7b98">IBackendProfilingPtr</a> &amp;&#160;</td>
339 <td class="paramname"><em>backendProfiling</em>&#160;</td>
340 </tr>
341 <tr>
342 <td></td>
343 <td>)</td>
344 <td></td><td></td>
345 </tr>
346 </table>
347 </td>
348 <td class="mlabels-right">
349<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
350 </tr>
351</table>
352</div><div class="memdoc">
353
354<p>Create context specifically used for profiling interaction from backends. </p>
355
356<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a6c5064ef6323af5c547674d01b15d7ab">IBackendInternal</a>.</p>
357
358<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00114">114</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
359<div class="fragment"><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;{</div>
360<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendProfilingContextPtr</a>{};</div>
361<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;}</div>
362</div><!-- fragment -->
363</div>
364</div>
365<a id="a2482b4a7d5bde88e9b963be08017ce2b"></a>
366<h2 class="memtitle"><span class="permalink"><a href="#a2482b4a7d5bde88e9b963be08017ce2b">&#9670;&nbsp;</a></span>CreateBackendSpecificModelContext()</h2>
367
368<div class="memitem">
369<div class="memproto">
370<table class="mlabels">
371 <tr>
372 <td class="mlabels-left">
373 <table class="memname">
374 <tr>
375 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a> CreateBackendSpecificModelContext </td>
376 <td>(</td>
377 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;&#160;</td>
378 <td class="paramname"><em>modelOptions</em></td><td>)</td>
379 <td> const</td>
380 </tr>
381 </table>
382 </td>
383 <td class="mlabels-right">
384<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
385 </tr>
386</table>
387</div><div class="memdoc">
388
389<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a41f38c8c2182463dec4f03769ea54f63">IBackendInternal</a>.</p>
390
391<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00120">120</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
392<div class="fragment"><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;{</div>
393<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendSpecificModelContextPtr</a>{<span class="keyword">new</span> NeonBackendModelContext{modelOptions}};</div>
394<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;}</div>
395</div><!-- fragment -->
396<p class="reference">Referenced by <a class="el" href="_neon_backend_8cpp_source.html#l00065">NeonBackend::CreateWorkloadFactory()</a>, and <a class="el" href="_neon_backend_8cpp_source.html#l00135">NeonBackend::GetLayerSupport()</a>.</p>
397
398</div>
399</div>
400<a id="a93fcb3bff141d8c77b53466a44b58eee"></a>
401<h2 class="memtitle"><span class="permalink"><a href="#a93fcb3bff141d8c77b53466a44b58eee">&#9670;&nbsp;</a></span>CreateMemoryManager()</h2>
402
403<div class="memitem">
404<div class="memproto">
405<table class="mlabels">
406 <tr>
407 <td class="mlabels-left">
408 <table class="memname">
409 <tr>
410 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a12bff6d51d63dac1375c89bc8415dc46">IBackendInternal::IMemoryManagerUniquePtr</a> CreateMemoryManager </td>
411 <td>(</td>
412 <td class="paramname"></td><td>)</td>
413 <td> const</td>
414 </tr>
415 </table>
416 </td>
417 <td class="mlabels-right">
418<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
419 </tr>
420</table>
421</div><div class="memdoc">
422
423<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a0fe4c12c8f1f0722d2a91f61c02a687a">IBackendInternal</a>.</p>
424
425<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00052">52</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
426<div class="fragment"><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;{</div>
427<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;NeonMemoryManager&gt;(std::make_unique&lt;arm_compute::Allocator&gt;(),</div>
428<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div>
429<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;}</div>
430</div><!-- fragment -->
431<p class="reference">References <a class="el" href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::Offset</a>.</p>
432
433</div>
434</div>
435<a id="afb0e4b4255c996c68fe87e3c13451a43"></a>
436<h2 class="memtitle"><span class="permalink"><a href="#afb0e4b4255c996c68fe87e3c13451a43">&#9670;&nbsp;</a></span>CreateWorkloadFactory() <span class="overload">[1/4]</span></h2>
437
438<div class="memitem">
439<div class="memproto">
440<table class="mlabels">
441 <tr>
442 <td class="mlabels-left">
443 <table class="memname">
444 <tr>
445 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td>
446 <td>(</td>
447 <td class="paramtype">class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;&#160;</td>
448 <td class="paramname"><em>tensorHandleFactoryRegistry</em></td><td>)</td>
449 <td> const</td>
450 </tr>
451 </table>
452 </td>
453 <td class="mlabels-right">
454<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
455 </tr>
456</table>
457</div><div class="memdoc">
458
459<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a41c5c170ef6708c1efc683d900f624ff">IBackendInternal</a>.</p>
460
461<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00072">72</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
462<div class="fragment"><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;{</div>
463<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keyword">auto</span> memoryManager = std::make_shared&lt;NeonMemoryManager&gt;(std::make_unique&lt;arm_compute::Allocator&gt;(),</div>
464<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <a class="code" href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div>
465<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; </div>
466<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; tensorHandleFactoryRegistry.RegisterMemoryManager(memoryManager);</div>
467<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; </div>
468<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keyword">auto</span> factory = std::make_unique&lt;NeonTensorHandleFactory&gt;(memoryManager);</div>
469<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="comment">// Register copy and import factory pair</span></div>
470<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; tensorHandleFactoryRegistry.RegisterCopyAndImportFactoryPair(factory-&gt;GetId(), factory-&gt;GetId());</div>
471<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="comment">// Register the factory</span></div>
472<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; tensorHandleFactoryRegistry.RegisterFactory(std::move(factory));</div>
473<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; </div>
474<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; </div>
475<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;NeonWorkloadFactory&gt;(</div>
476<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; PolymorphicPointerDowncast&lt;NeonMemoryManager&gt;(memoryManager));</div>
477<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;}</div>
478</div><!-- fragment -->
479<p class="reference">References <a class="el" href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::Offset</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, and <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>.</p>
480
481</div>
482</div>
483<a id="a95c304f397c4ef9f0108834e16631219"></a>
484<h2 class="memtitle"><span class="permalink"><a href="#a95c304f397c4ef9f0108834e16631219">&#9670;&nbsp;</a></span>CreateWorkloadFactory() <span class="overload">[2/4]</span></h2>
485
486<div class="memitem">
487<div class="memproto">
488<table class="mlabels">
489 <tr>
490 <td class="mlabels-left">
491 <table class="memname">
492 <tr>
493 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td>
494 <td>(</td>
495 <td class="paramtype">class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;&#160;</td>
496 <td class="paramname"><em>tensorHandleFactoryRegistry</em>, </td>
497 </tr>
498 <tr>
499 <td class="paramkey"></td>
500 <td></td>
501 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;&#160;</td>
502 <td class="paramname"><em>modelOptions</em>&#160;</td>
503 </tr>
504 <tr>
505 <td></td>
506 <td>)</td>
507 <td></td><td> const</td>
508 </tr>
509 </table>
510 </td>
511 <td class="mlabels-right">
512<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
513 </tr>
514</table>
515</div><div class="memdoc">
516
517<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#aebacbea86fddc46858f6329671ccf750">IBackendInternal</a>.</p>
518
519<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00091">91</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
520<div class="fragment"><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;{</div>
521<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keyword">auto</span> memoryManager = std::make_shared&lt;NeonMemoryManager&gt;(std::make_unique&lt;arm_compute::Allocator&gt;(),</div>
522<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <a class="code" href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div>
523<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; </div>
524<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; tensorHandleFactoryRegistry.RegisterMemoryManager(memoryManager);</div>
525<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; </div>
526<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keyword">auto</span> factory = std::make_unique&lt;NeonTensorHandleFactory&gt;(memoryManager);</div>
527<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="comment">// Register copy and import factory pair</span></div>
528<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; tensorHandleFactoryRegistry.RegisterCopyAndImportFactoryPair(factory-&gt;GetId(), factory-&gt;GetId());</div>
529<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="comment">// Register the factory</span></div>
530<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; tensorHandleFactoryRegistry.RegisterFactory(std::move(factory));</div>
531<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; </div>
532<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;NeonWorkloadFactory&gt;(</div>
533<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; PolymorphicPointerDowncast&lt;NeonMemoryManager&gt;(memoryManager), <a class="code" href="classarmnn_1_1_neon_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div>
534<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;}</div>
535</div><!-- fragment -->
536<p class="reference">References <a class="el" href="_neon_backend_8cpp_source.html#l00120">NeonBackend::CreateBackendSpecificModelContext()</a>, <a class="el" href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::Offset</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, and <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>.</p>
537
538</div>
539</div>
540<a id="a8e19e275c8162e34e6d8d10a9245dbc9"></a>
541<h2 class="memtitle"><span class="permalink"><a href="#a8e19e275c8162e34e6d8d10a9245dbc9">&#9670;&nbsp;</a></span>CreateWorkloadFactory() <span class="overload">[3/4]</span></h2>
542
543<div class="memitem">
544<div class="memproto">
545<table class="mlabels">
546 <tr>
547 <td class="mlabels-left">
548 <table class="memname">
549 <tr>
550 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td>
551 <td>(</td>
552 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
553 <td class="paramname"><em>memoryManager</em> = <code>nullptr</code></td><td>)</td>
554 <td> const</td>
555 </tr>
556 </table>
557 </td>
558 <td class="mlabels-right">
559<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
560 </tr>
561</table>
562</div><div class="memdoc">
563
564<p>Implements <a class="el" href="classarmnn_1_1_i_backend_internal.html#afd5a5e90515b31c0174f76ec8897e9b1">IBackendInternal</a>.</p>
565
566<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00058">58</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
567<div class="fragment"><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;{</div>
568<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;NeonWorkloadFactory&gt;(</div>
569<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; PolymorphicPointerDowncast&lt;NeonMemoryManager&gt;(memoryManager));</div>
570<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;}</div>
571</div><!-- fragment -->
572</div>
573</div>
574<a id="a19441d1c63ca23efb8d4305933bcb712"></a>
575<h2 class="memtitle"><span class="permalink"><a href="#a19441d1c63ca23efb8d4305933bcb712">&#9670;&nbsp;</a></span>CreateWorkloadFactory() <span class="overload">[4/4]</span></h2>
576
577<div class="memitem">
578<div class="memproto">
579<table class="mlabels">
580 <tr>
581 <td class="mlabels-left">
582 <table class="memname">
583 <tr>
584 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td>
585 <td>(</td>
586 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">IMemoryManagerSharedPtr</a> &amp;&#160;</td>
587 <td class="paramname"><em>memoryManager</em>, </td>
588 </tr>
589 <tr>
590 <td class="paramkey"></td>
591 <td></td>
592 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;&#160;</td>
593 <td class="paramname"><em>modelOptions</em>&#160;</td>
594 </tr>
595 <tr>
596 <td></td>
597 <td>)</td>
598 <td></td><td> const</td>
599 </tr>
600 </table>
601 </td>
602 <td class="mlabels-right">
603<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
604 </tr>
605</table>
606</div><div class="memdoc">
607
608<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a22973198ab5ac5624b4caa78100d2d25">IBackendInternal</a>.</p>
609
610<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00065">65</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
611<div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;{</div>
612<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;NeonWorkloadFactory&gt;(</div>
613<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; PolymorphicPointerDowncast&lt;NeonMemoryManager&gt;(memoryManager), <a class="code" href="classarmnn_1_1_neon_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div>
614<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;}</div>
615</div><!-- fragment -->
616<p class="reference">References <a class="el" href="_neon_backend_8cpp_source.html#l00120">NeonBackend::CreateBackendSpecificModelContext()</a>.</p>
617
618</div>
619</div>
620<a id="ab9199ff425571ba62412bb903c2c933e"></a>
621<h2 class="memtitle"><span class="permalink"><a href="#ab9199ff425571ba62412bb903c2c933e">&#9670;&nbsp;</a></span>GetCapabilities()</h2>
622
623<div class="memitem">
624<div class="memproto">
625<table class="mlabels">
626 <tr>
627 <td class="mlabels-left">
628 <table class="memname">
629 <tr>
630 <td class="memname"><a class="el" href="namespacearmnn.html#aa9c506b558b8aa33a228b15164f40dc3">BackendCapabilities</a> GetCapabilities </td>
631 <td>(</td>
632 <td class="paramname"></td><td>)</td>
633 <td> const</td>
634 </tr>
635 </table>
636 </td>
637 <td class="mlabels-right">
638<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
639 </tr>
640</table>
641</div><div class="memdoc">
642
643<p>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.html" 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. </p>
644
645<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a057f6c5c3ab3248050ed548273c4beb9">IBackendInternal</a>.</p>
646
647<p class="definition">Definition at line <a class="el" href="_neon_backend_8hpp_source.html#l00068">68</a> of file <a class="el" href="_neon_backend_8hpp_source.html">NeonBackend.hpp</a>.</p>
648<div class="fragment"><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; {</div>
649<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a2cafcc09d062f993b17f53499933a952">cpuAccCapabilities</a>;</div>
650<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; };</div>
651</div><!-- fragment -->
652<p class="reference">References <a class="el" href="namespacearmnn.html#a2cafcc09d062f993b17f53499933a952">armnn::cpuAccCapabilities</a>.</p>
653
654</div>
655</div>
656<a id="afb75bad43612f5314622c4fa8a16e63d"></a>
657<h2 class="memtitle"><span class="permalink"><a href="#afb75bad43612f5314622c4fa8a16e63d">&#9670;&nbsp;</a></span>GetDefaultAllocator()</h2>
658
659<div class="memitem">
660<div class="memproto">
661<table class="mlabels">
662 <tr>
663 <td class="mlabels-left">
664 <table class="memname">
665 <tr>
666 <td class="memname">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> &gt; GetDefaultAllocator </td>
667 <td>(</td>
668 <td class="paramname"></td><td>)</td>
669 <td> const</td>
670 </tr>
671 </table>
672 </td>
673 <td class="mlabels-right">
674<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
675 </tr>
676</table>
677</div><div class="memdoc">
678
679<p>Returns the default memory allocator for the backend. </p>
680<dl class="section return"><dt>Returns</dt><dd>- Returns unique pointer to the Default <a class="el" href="structarmnn_1_1_allocator.html">Allocator</a> of the Backend </dd></dl>
681
682<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a563472222884844adc3183c433f38e54">IBackendInternal</a>.</p>
683
684<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00637">637</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
685<div class="fragment"><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160;{</div>
686<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;DefaultAllocator&gt;();</div>
687<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>&#160;}</div>
688</div><!-- fragment -->
689</div>
690</div>
691<a id="a63559c7f206c265f5fff5ffcc8a58e3e"></a>
692<h2 class="memtitle"><span class="permalink"><a href="#a63559c7f206c265f5fff5ffcc8a58e3e">&#9670;&nbsp;</a></span>GetHandleFactoryPreferences()</h2>
693
694<div class="memitem">
695<div class="memproto">
696<table class="mlabels">
697 <tr>
698 <td class="mlabels-left">
699 <table class="memname">
700 <tr>
701 <td class="memname">std::vector&lt; <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> &gt; GetHandleFactoryPreferences </td>
702 <td>(</td>
703 <td class="paramname"></td><td>)</td>
704 <td> const</td>
705 </tr>
706 </table>
707 </td>
708 <td class="mlabels-right">
709<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
710 </tr>
711</table>
712</div><div class="memdoc">
713
714<p>(<a class="el" href="classarmnn_1_1_optional.html">Optional</a>) Returns a vector of supported TensorHandleFactory ids in preference order. </p>
715
716<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#ac5d107c5672f446603b6e6b92bce6244">IBackendInternal</a>.</p>
717
718<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00618">618</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
719<div class="fragment"><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>&#160;{</div>
720<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160; <span class="keywordflow">return</span> std::vector&lt;ITensorHandleFactory::FactoryId&gt;() = { <a class="code" href="classarmnn_1_1_neon_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">NeonTensorHandleFactory::GetIdStatic</a>() };</div>
721<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>&#160;}</div>
722</div><!-- fragment -->
723<p class="reference">References <a class="el" href="_neon_tensor_handle_factory_8cpp_source.html#l00089">NeonTensorHandleFactory::GetIdStatic()</a>.</p>
724
725</div>
726</div>
727<a id="a6c6c3d137a7792e264a89cc40ea94bb0"></a>
728<h2 class="memtitle"><span class="permalink"><a href="#a6c6c3d137a7792e264a89cc40ea94bb0">&#9670;&nbsp;</a></span>GetId()</h2>
729
730<div class="memitem">
731<div class="memproto">
732<table class="mlabels">
733 <tr>
734 <td class="mlabels-left">
735 <table class="memname">
736 <tr>
737 <td class="memname">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a>&amp; GetId </td>
738 <td>(</td>
739 <td class="paramname"></td><td>)</td>
740 <td> const</td>
741 </tr>
742 </table>
743 </td>
744 <td class="mlabels-right">
745<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
746 </tr>
747</table>
748</div><div class="memdoc">
749
750<p>Implements <a class="el" href="classarmnn_1_1_i_backend.html#aa9fc23b7155bd678232eeb351059b748">IBackend</a>.</p>
751
752<p class="definition">Definition at line <a class="el" href="_neon_backend_8hpp_source.html#l00036">36</a> of file <a class="el" href="_neon_backend_8hpp_source.html">NeonBackend.hpp</a>.</p>
753<div class="fragment"><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;{ <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_neon_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">GetIdStatic</a>(); }</div>
754</div><!-- fragment -->
755<p class="reference">References <a class="el" href="_neon_backend_8cpp_source.html#l00046">NeonBackend::GetIdStatic()</a>.</p>
756
757</div>
758</div>
759<a id="a177af502214bbc8123fbb4a3c4f0a1b8"></a>
760<h2 class="memtitle"><span class="permalink"><a href="#a177af502214bbc8123fbb4a3c4f0a1b8">&#9670;&nbsp;</a></span>GetIdStatic()</h2>
761
762<div class="memitem">
763<div class="memproto">
764<table class="mlabels">
765 <tr>
766 <td class="mlabels-left">
767 <table class="memname">
768 <tr>
769 <td class="memname">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &amp; GetIdStatic </td>
770 <td>(</td>
771 <td class="paramname"></td><td>)</td>
772 <td></td>
773 </tr>
774 </table>
775 </td>
776 <td class="mlabels-right">
777<span class="mlabels"><span class="mlabel">static</span></span> </td>
778 </tr>
779</table>
780</div><div class="memdoc">
781
782<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00046">46</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
783<div class="fragment"><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;{</div>
784<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keyword">static</span> <span class="keyword">const</span> BackendId s_Id{<a class="code" href="namespacearmnn.html#a3a34a305e5187f3a3c67030d3bebbdb0">NeonBackendId</a>()};</div>
785<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keywordflow">return</span> s_Id;</div>
786<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;}</div>
787</div><!-- fragment -->
788<p class="reference">References <a class="el" href="_neon_backend_id_8hpp_source.html#l00010">armnn::NeonBackendId()</a>.</p>
789
790<p class="reference">Referenced by <a class="el" href="_neon_backend_8hpp_source.html#l00036">NeonBackend::GetId()</a>.</p>
791
792</div>
793</div>
794<a id="a93d4285a3ea5e4e3b35578484d889daa"></a>
795<h2 class="memtitle"><span class="permalink"><a href="#a93d4285a3ea5e4e3b35578484d889daa">&#9670;&nbsp;</a></span>GetLayerSupport() <span class="overload">[1/2]</span></h2>
796
797<div class="memitem">
798<div class="memproto">
799<table class="mlabels">
800 <tr>
801 <td class="mlabels-left">
802 <table class="memname">
803 <tr>
804 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">IBackendInternal::ILayerSupportSharedPtr</a> GetLayerSupport </td>
805 <td>(</td>
806 <td class="paramname"></td><td>)</td>
807 <td> const</td>
808 </tr>
809 </table>
810 </td>
811 <td class="mlabels-right">
812<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
813 </tr>
814</table>
815</div><div class="memdoc">
816
817<p>Implements <a class="el" href="classarmnn_1_1_i_backend_internal.html#ad86597efa7c25997572c80dc29f3104a">IBackendInternal</a>.</p>
818
819<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00126">126</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
820<div class="fragment"><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;{</div>
821<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div>
822<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; {</div>
823<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="keyword">new</span> NeonLayerSupport(<a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a>{})</div>
824<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; };</div>
825<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordflow">return</span> layerSupport;</div>
826<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;}</div>
827</div><!-- fragment -->
828</div>
829</div>
830<a id="a9e458b98037dbb048877d0fc3fdbd17d"></a>
831<h2 class="memtitle"><span class="permalink"><a href="#a9e458b98037dbb048877d0fc3fdbd17d">&#9670;&nbsp;</a></span>GetLayerSupport() <span class="overload">[2/2]</span></h2>
832
833<div class="memitem">
834<div class="memproto">
835<table class="mlabels">
836 <tr>
837 <td class="mlabels-left">
838 <table class="memname">
839 <tr>
840 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">IBackendInternal::ILayerSupportSharedPtr</a> GetLayerSupport </td>
841 <td>(</td>
842 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;&#160;</td>
843 <td class="paramname"><em>modelOptions</em></td><td>)</td>
844 <td> const</td>
845 </tr>
846 </table>
847 </td>
848 <td class="mlabels-right">
849<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
850 </tr>
851</table>
852</div><div class="memdoc">
853
854<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#aa654fe558005ad90f2e9a2e1f175ebce">IBackendInternal</a>.</p>
855
856<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00135">135</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
857<div class="fragment"><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;{</div>
858<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div>
859<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; {</div>
860<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keyword">new</span> NeonLayerSupport(<a class="code" href="classarmnn_1_1_neon_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions))</div>
861<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; };</div>
862<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keywordflow">return</span> layerSupport;</div>
863<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;}</div>
864</div><!-- fragment -->
865<p class="reference">References <a class="el" href="_neon_backend_8cpp_source.html#l00120">NeonBackend::CreateBackendSpecificModelContext()</a>.</p>
866
867</div>
868</div>
869<a id="a339efc194a1738cd93fcdde4d948a5cd"></a>
870<h2 class="memtitle"><span class="permalink"><a href="#a339efc194a1738cd93fcdde4d948a5cd">&#9670;&nbsp;</a></span>OptimizeSubgraphView()</h2>
871
872<div class="memitem">
873<div class="memproto">
874<table class="mlabels">
875 <tr>
876 <td class="mlabels-left">
877 <table class="memname">
878 <tr>
879 <td class="memname"><a class="el" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a> OptimizeSubgraphView </td>
880 <td>(</td>
881 <td class="paramtype">const <a class="el" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a> &amp;&#160;</td>
882 <td class="paramname"><em>subgraph</em>, </td>
883 </tr>
884 <tr>
885 <td class="paramkey"></td>
886 <td></td>
887 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;&#160;</td>
888 <td class="paramname"><em>modelOptions</em>&#160;</td>
889 </tr>
890 <tr>
891 <td></td>
892 <td>)</td>
893 <td></td><td> const</td>
894 </tr>
895 </table>
896 </td>
897 <td class="mlabels-right">
898<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
899 </tr>
900</table>
901</div><div class="memdoc">
902
903<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a3623ac8294bf071d68eb7d71383e9a83">IBackendInternal</a>.</p>
904
905<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00144">144</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
906<div class="fragment"><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;{</div>
907<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; OptimizationViews optimizationViews(modelOptions);</div>
908<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; </div>
909<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="keyword">auto</span> it = subgraph.end();</div>
910<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; std::map&lt;LayerGuid, Layer*&gt; untouched;</div>
911<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; </div>
912<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keywordflow">while</span> (it != subgraph.begin())</div>
913<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; {</div>
914<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; --it;</div>
915<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; Layer&amp; base = *(PolymorphicDowncast&lt;Layer*&gt;(*it));</div>
916<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; untouched.insert({base.GetGuid(), &amp;base});</div>
917<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; }</div>
918<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; </div>
919<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; it = subgraph.end();</div>
920<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <span class="keywordflow">while</span> (it != subgraph.begin())</div>
921<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; {</div>
922<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; --it;</div>
923<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; Layer&amp; base = *(PolymorphicDowncast&lt;Layer*&gt;(*it));</div>
924<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; </div>
925<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <span class="comment">// Fuse activation into previous layer if supported by backend</span></div>
926<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keywordflow">if</span> ((base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a> || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a></div>
927<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a> || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a></div>
928<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a> || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a></div>
929<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a> || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a></div>
930<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>)</div>
931<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; &amp;&amp; (base.GetAdditionalInformation&lt;ActivationDescriptor&gt;() == <span class="keyword">nullptr</span>))</div>
932<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; {</div>
933<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> output = base.BeginOutputSlots(); output != base.EndOutputSlots(); ++output)</div>
934<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; {</div>
935<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <span class="keywordflow">if</span> (output-&gt;GetNumConnections() == 1)</div>
936<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; {</div>
937<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; childInput : output-&gt;GetConnections())</div>
938<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; {</div>
939<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="keywordflow">if</span> ((childInput-&gt;GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>) &amp;&amp;</div>
940<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; (checkDataTypeInputandOutput(childInput-&gt;GetOwningLayer())))</div>
941<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; {</div>
942<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; Layer&amp; child = childInput-&gt;GetOwningLayer();</div>
943<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; </div>
944<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <span class="keyword">auto</span>* activationLayer = PolymorphicDowncast&lt;ActivationLayer*&gt;(&amp;child);</div>
945<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; </div>
946<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">&quot;fused-&quot;</span>) + child.GetName() + std::string(<span class="stringliteral">&quot;-into-&quot;</span>) +</div>
947<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; base.GetName();</div>
948<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; </div>
949<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <span class="comment">// Get params from activation layer</span></div>
950<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; ActivationDescriptor activationDesc = activationLayer-&gt;GetParameters();</div>
951<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; </div>
952<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>)</div>
953<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; {</div>
954<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; Convolution2dLayer* baseLayer = PolymorphicDowncast&lt;Convolution2dLayer*&gt;(&amp;base);</div>
955<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; </div>
956<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; Optional&lt;TensorInfo&gt; biases;</div>
957<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; </div>
958<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <span class="keywordflow">if</span> (baseLayer-&gt;GetParameters().m_BiasEnabled)</div>
959<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; {</div>
960<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; biases = baseLayer-&gt;GetInputSlot(2).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
961<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; }</div>
962<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; </div>
963<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a45691b0c4a46c239b4986cfed95de13b">NeonConvolution2dWorkloadValidate</a>(</div>
964<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; baseLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
965<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; activationLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
966<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; baseLayer-&gt;GetParameters(),</div>
967<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; baseLayer-&gt;GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
968<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; biases,</div>
969<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="keyword">false</span>,</div>
970<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; &amp;activationDesc);</div>
971<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; </div>
972<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="keywordflow">if</span> (status)</div>
973<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; {</div>
974<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; FuseConvolution2dLayer&lt;Convolution2dLayer&gt;(optimizationViews,</div>
975<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; baseLayer,</div>
976<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; activationLayer,</div>
977<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; activationDesc,</div>
978<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; name);</div>
979<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
980<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; untouched.erase(activationLayer-&gt;GetGuid());</div>
981<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; }</div>
982<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; }</div>
983<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>)</div>
984<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; {</div>
985<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; DepthwiseConvolution2dLayer* baseLayer =</div>
986<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; PolymorphicDowncast&lt;DepthwiseConvolution2dLayer*&gt;(&amp;base);</div>
987<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; </div>
988<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; Optional&lt;TensorInfo&gt; biases;</div>
989<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; </div>
990<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; <span class="keywordflow">if</span> (baseLayer-&gt;GetParameters().m_BiasEnabled)</div>
991<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; {</div>
992<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; biases = baseLayer-&gt;GetInputSlot(2).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
993<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; }</div>
994<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; </div>
995<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a63d684b26fb838b22123490d780bce08">NeonDepthwiseConvolutionWorkloadValidate</a>(</div>
996<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; baseLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
997<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; activationLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
998<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; baseLayer-&gt;GetParameters(),</div>
999<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; baseLayer-&gt;GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1000<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; biases,</div>
1001<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; &amp;activationDesc);</div>
1002<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; </div>
1003<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; <span class="keywordflow">if</span> (status)</div>
1004<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; {</div>
1005<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; FuseDepthwiseConvolution2dLayer&lt;DepthwiseConvolution2dLayer&gt;(optimizationViews,</div>
1006<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; baseLayer,</div>
1007<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; activationLayer,</div>
1008<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; activationDesc,</div>
1009<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; name);</div>
1010<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
1011<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; untouched.erase(activationLayer-&gt;GetGuid());</div>
1012<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; }</div>
1013<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; }</div>
1014<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>)</div>
1015<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; {</div>
1016<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; FullyConnectedLayer* baseLayer = PolymorphicDowncast&lt;FullyConnectedLayer*&gt;(&amp;base);</div>
1017<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; FullyConnectedDescriptor descriptor = baseLayer-&gt;GetParameters();</div>
1018<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; </div>
1019<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <span class="comment">// As bias is optional only try to get TensorInfo from input if bias is enabled.</span></div>
1020<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; Optional&lt;TensorInfo&gt; biases;</div>
1021<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div>
1022<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; {</div>
1023<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; biases = baseLayer-&gt;GetInputSlot(2).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
1024<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; }</div>
1025<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; </div>
1026<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#ae455144d3472c502b636697f4775400c">NeonFullyConnectedWorkloadValidate</a>(</div>
1027<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; baseLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1028<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; activationLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1029<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; baseLayer-&gt;GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1030<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; biases,</div>
1031<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; baseLayer-&gt;GetParameters(),</div>
1032<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; &amp;activationDesc);</div>
1033<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; </div>
1034<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">if</span> (status)</div>
1035<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; {</div>
1036<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; FuseFullyConnectedLayer&lt;FullyConnectedLayer&gt;(optimizationViews,</div>
1037<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; baseLayer,</div>
1038<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; activationLayer,</div>
1039<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; activationDesc,</div>
1040<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; name);</div>
1041<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
1042<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; untouched.erase(activationLayer-&gt;GetGuid());</div>
1043<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; }</div>
1044<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; }</div>
1045<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>)</div>
1046<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; {</div>
1047<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; BatchNormalizationLayer* baseLayer =</div>
1048<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; PolymorphicDowncast&lt;BatchNormalizationLayer*&gt;(&amp;base);</div>
1049<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; </div>
1050<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#ac1be1c9a317b23b5684c83af59fb2c96">NeonBatchNormalizationValidate</a>(</div>
1051<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; baseLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1052<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; activationLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1053<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; baseLayer-&gt;m_Mean-&gt;GetTensorInfo(),</div>
1054<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; baseLayer-&gt;m_Variance-&gt;GetTensorInfo(),</div>
1055<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; baseLayer-&gt;m_Beta-&gt;GetTensorInfo(),</div>
1056<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; baseLayer-&gt;m_Gamma-&gt;GetTensorInfo(),</div>
1057<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; baseLayer-&gt;GetParameters(),</div>
1058<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; &amp;activationDesc);</div>
1059<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; </div>
1060<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <span class="keywordflow">if</span> (status)</div>
1061<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; {</div>
1062<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; BatchNormalizationLayer* replacementLayer =</div>
1063<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; FuseBatchNormalizationLayer&lt;BatchNormalizationLayer&gt;(optimizationViews,</div>
1064<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; baseLayer,</div>
1065<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; activationLayer,</div>
1066<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; activationDesc,</div>
1067<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; name);</div>
1068<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; </div>
1069<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; replacementLayer-&gt;m_Beta = std::move(baseLayer-&gt;m_Beta);</div>
1070<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; replacementLayer-&gt;m_Gamma = std::move(baseLayer-&gt;m_Gamma);</div>
1071<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; replacementLayer-&gt;m_Mean = std::move(baseLayer-&gt;m_Mean);</div>
1072<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; replacementLayer-&gt;m_Variance = std::move(baseLayer-&gt;m_Variance);</div>
1073<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
1074<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; untouched.erase(activationLayer-&gt;GetGuid());</div>
1075<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; }</div>
1076<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; }</div>
1077<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>)</div>
1078<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; {</div>
1079<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; AdditionLayer* baseLayer = PolymorphicDowncast&lt;AdditionLayer*&gt;(&amp;base);</div>
1080<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; </div>
1081<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a1b03e82a1a53b686aedea3734b2fb957">NeonAdditionWorkloadValidate</a>(</div>
1082<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; baseLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1083<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; baseLayer-&gt;GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1084<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; activationLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1085<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; &amp;activationDesc);</div>
1086<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; </div>
1087<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <span class="keywordflow">if</span> (status)</div>
1088<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; {</div>
1089<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; FuseAdditionLayer&lt;AdditionLayer&gt;(optimizationViews,</div>
1090<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; baseLayer,</div>
1091<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; activationLayer,</div>
1092<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; activationDesc,</div>
1093<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; name);</div>
1094<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
1095<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; untouched.erase(activationLayer-&gt;GetGuid());</div>
1096<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; }</div>
1097<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; }</div>
1098<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>)</div>
1099<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; {</div>
1100<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; DivisionLayer* baseLayer = PolymorphicDowncast&lt;DivisionLayer*&gt;(&amp;base);</div>
1101<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; </div>
1102<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a65c912bfcf02b3096f36caf21fa175d0">NeonDivisionWorkloadValidate</a>(</div>
1103<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; baseLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1104<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; baseLayer-&gt;GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1105<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; activationLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1106<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; &amp;activationDesc);</div>
1107<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; </div>
1108<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; <span class="keywordflow">if</span> (status)</div>
1109<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; {</div>
1110<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; FuseDivisionLayer&lt;DivisionLayer&gt;(optimizationViews,</div>
1111<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; baseLayer,</div>
1112<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; activationLayer,</div>
1113<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; activationDesc,</div>
1114<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; name);</div>
1115<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
1116<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; untouched.erase(activationLayer-&gt;GetGuid());</div>
1117<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; }</div>
1118<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; }</div>
1119<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>)</div>
1120<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; {</div>
1121<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; MultiplicationLayer* baseLayer = PolymorphicDowncast&lt;MultiplicationLayer*&gt;(&amp;base);</div>
1122<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; </div>
1123<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#ad512520e809bfed4fbd3db9fbc241263">NeonMultiplicationWorkloadValidate</a>(</div>
1124<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; baseLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1125<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; baseLayer-&gt;GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1126<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; activationLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1127<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; &amp;activationDesc);</div>
1128<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; </div>
1129<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; <span class="keywordflow">if</span> (status)</div>
1130<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; {</div>
1131<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; FuseMultiplicationLayer&lt;MultiplicationLayer&gt;(optimizationViews,</div>
1132<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; baseLayer,</div>
1133<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; activationLayer,</div>
1134<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; activationDesc,</div>
1135<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; name);</div>
1136<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
1137<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; untouched.erase(activationLayer-&gt;GetGuid());</div>
1138<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; }</div>
1139<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; }</div>
1140<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>)</div>
1141<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; {</div>
1142<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; SubtractionLayer* baseLayer = PolymorphicDowncast&lt;SubtractionLayer*&gt;(&amp;base);</div>
1143<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; </div>
1144<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#abc968e1323027f9e42cbc7642800d5ce">NeonSubtractionWorkloadValidate</a>(</div>
1145<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; baseLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1146<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; baseLayer-&gt;GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1147<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; activationLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1148<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; &amp;activationDesc);</div>
1149<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; </div>
1150<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; <span class="keywordflow">if</span> (status)</div>
1151<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; {</div>
1152<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; FuseSubtractionLayer&lt;SubtractionLayer&gt;(optimizationViews,</div>
1153<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; baseLayer,</div>
1154<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; activationLayer,</div>
1155<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; activationDesc,</div>
1156<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; name);</div>
1157<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
1158<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; untouched.erase(activationLayer-&gt;GetGuid());</div>
1159<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; }</div>
1160<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; }</div>
1161<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>)</div>
1162<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; {</div>
1163<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; ElementwiseBinaryLayer* baseLayer = PolymorphicDowncast&lt;ElementwiseBinaryLayer*&gt;(&amp;base);</div>
1164<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; </div>
1165<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; <span class="keywordflow">if</span> (baseLayer-&gt;GetParameters().m_Operation == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>)</div>
1166<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; {</div>
1167<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a1b03e82a1a53b686aedea3734b2fb957">NeonAdditionWorkloadValidate</a>(</div>
1168<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; baseLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1169<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; baseLayer-&gt;GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1170<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; activationLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1171<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; &amp;activationDesc);</div>
1172<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; </div>
1173<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; <span class="keywordflow">if</span> (status)</div>
1174<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; {</div>
1175<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; FuseElementwiseBinaryLayer&lt;ElementwiseBinaryLayer&gt;(optimizationViews,</div>
1176<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; baseLayer,</div>
1177<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; activationLayer,</div>
1178<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; activationDesc,</div>
1179<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>,</div>
1180<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; name);</div>
1181<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
1182<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; untouched.erase(activationLayer-&gt;GetGuid());</div>
1183<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; }</div>
1184<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; }</div>
1185<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (baseLayer-&gt;GetParameters().m_Operation == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>)</div>
1186<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; {</div>
1187<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a65c912bfcf02b3096f36caf21fa175d0">NeonDivisionWorkloadValidate</a>(</div>
1188<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; baseLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1189<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; baseLayer-&gt;GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1190<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; activationLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1191<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; &amp;activationDesc);</div>
1192<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; </div>
1193<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; <span class="keywordflow">if</span> (status)</div>
1194<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; {</div>
1195<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; FuseElementwiseBinaryLayer&lt;ElementwiseBinaryLayer&gt;(optimizationViews,</div>
1196<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; baseLayer,</div>
1197<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; activationLayer,</div>
1198<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; activationDesc,</div>
1199<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>,</div>
1200<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; name);</div>
1201<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
1202<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; untouched.erase(activationLayer-&gt;GetGuid());</div>
1203<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; }</div>
1204<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; }</div>
1205<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (baseLayer-&gt;GetParameters().m_Operation == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>)</div>
1206<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; {</div>
1207<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#ad512520e809bfed4fbd3db9fbc241263">NeonMultiplicationWorkloadValidate</a>(</div>
1208<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; baseLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1209<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; baseLayer-&gt;GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1210<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; activationLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1211<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160; &amp;activationDesc);</div>
1212<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; </div>
1213<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; <span class="keywordflow">if</span> (status)</div>
1214<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160; {</div>
1215<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160; FuseElementwiseBinaryLayer&lt;ElementwiseBinaryLayer&gt;(optimizationViews,</div>
1216<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; baseLayer,</div>
1217<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160; activationLayer,</div>
1218<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160; activationDesc,</div>
1219<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160; <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>,</div>
1220<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; name);</div>
1221<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
1222<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; untouched.erase(activationLayer-&gt;GetGuid());</div>
1223<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; }</div>
1224<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; }</div>
1225<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (baseLayer-&gt;GetParameters().m_Operation == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>)</div>
1226<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; {</div>
1227<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#abc968e1323027f9e42cbc7642800d5ce">NeonSubtractionWorkloadValidate</a>(</div>
1228<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; baseLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1229<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; baseLayer-&gt;GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1230<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; activationLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo(),</div>
1231<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; &amp;activationDesc);</div>
1232<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; </div>
1233<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; <span class="keywordflow">if</span> (status)</div>
1234<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; {</div>
1235<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; FuseElementwiseBinaryLayer&lt;ElementwiseBinaryLayer&gt;(optimizationViews,</div>
1236<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; baseLayer,</div>
1237<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; activationLayer,</div>
1238<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; activationDesc,</div>
1239<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>,</div>
1240<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; name);</div>
1241<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
1242<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; untouched.erase(activationLayer-&gt;GetGuid());</div>
1243<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; }</div>
1244<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; }</div>
1245<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; <span class="comment">// No fusion available for other BinaryOperations</span></div>
1246<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; }</div>
1247<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; }</div>
1248<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; }</div>
1249<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; }</div>
1250<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; }</div>
1251<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; }</div>
1252<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; </div>
1253<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; <span class="comment">// Separate reduce layer with multiple axes into multiple reduce layers with 1 axis.</span></div>
1254<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>)</div>
1255<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; {</div>
1256<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; ReduceLayer* baseLayer = PolymorphicDowncast&lt;ReduceLayer*&gt;(&amp;base);</div>
1257<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; ReduceDescriptor reduceDescriptor = baseLayer-&gt;GetParameters();</div>
1258<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; </div>
1259<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; <span class="keywordflow">if</span> (!reduceDescriptor.m_vAxis.empty() &amp;&amp; reduceDescriptor.m_vAxis.size() &gt; 1)</div>
1260<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; {</div>
1261<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; <span class="comment">// Add new layers to the graph and connect them.</span></div>
1262<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; std::vector&lt;IConnectableLayer*&gt; layers = ChainReduceLayers&lt;ReduceLayer&gt;(optimizationViews,</div>
1263<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; baseLayer,</div>
1264<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; reduceDescriptor);</div>
1265<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; </div>
1266<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; <span class="comment">// Replace existing baselayer with new subgraph.</span></div>
1267<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; ReplaceLayers&lt;ReduceLayer&gt;(optimizationViews, baseLayer, layers);</div>
1268<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; untouched.erase(baseLayer-&gt;GetGuid());</div>
1269<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; }</div>
1270<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; }</div>
1271<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; </div>
1272<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; <span class="comment">// Remove Reshape where possible</span></div>
1273<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>)</div>
1274<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; {</div>
1275<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; ReshapeLayer* baseLayer = PolymorphicDowncast&lt;ReshapeLayer*&gt;(&amp;base);</div>
1276<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160; </div>
1277<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; <span class="comment">// Cannot remove a Reshape if it&#39;s connected to any layer that has an NCHW layout</span></div>
1278<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#ac5089a2ee61f22570982e7a56588365a">ConnectedToLayerWithNCHW</a>(baseLayer))</div>
1279<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; {</div>
1280<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; <span class="keywordflow">continue</span>;</div>
1281<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; }</div>
1282<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; <a class="code" href="namespacearmnn.html#ae756568a7f2c58778bb6d759d2bd38db">RemoveReshapeLayer</a>(baseLayer, untouched, optimizationViews);</div>
1283<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; }</div>
1284<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; </div>
1285<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; <span class="comment">// Replace Add/Mul/Add where possible</span></div>
1286<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; Layer* layerList[4] = {<span class="keyword">nullptr</span>, <span class="keyword">nullptr</span>, <span class="keyword">nullptr</span>, <span class="keyword">nullptr</span>};</div>
1287<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; <span class="keyword">const</span> std::vector&lt;ActivationFunction&gt; validActivates = { <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">ActivationFunction::ReLu</a>,</div>
1288<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">ActivationFunction::BoundedReLu</a> };</div>
1289<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; <span class="keywordflow">if</span> (IsLayerSequence&lt;BinaryOperation&gt;(base,</div>
1290<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>, <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>, <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>,</div>
1291<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; layerList,</div>
1292<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; <span class="keyword">true</span>, <span class="comment">// handleValidActivates</span></div>
1293<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; validActivates))</div>
1294<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; {</div>
1295<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; <span class="keywordtype">bool</span> fuseReLu = <span class="keyword">false</span>;</div>
1296<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputs = 0;</div>
1297<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputs = 0;</div>
1298<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; std::vector&lt;TensorInfo&gt; inputInfos;</div>
1299<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; std::vector&lt;TensorInfo&gt; outputInfos;</div>
1300<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; <span class="keyword">const</span> ActivationDescriptor* activationDescriptor = <span class="keyword">nullptr</span>;</div>
1301<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; </div>
1302<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; <span class="keywordflow">if</span> (BuildAddMulAddTensorInfoLists&lt;Layer&gt;(layerList,</div>
1303<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; numInputs,</div>
1304<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; numOutputs,</div>
1305<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; inputInfos,</div>
1306<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; outputInfos,</div>
1307<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; activationDescriptor,</div>
1308<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; fuseReLu))</div>
1309<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; {</div>
1310<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; <span class="comment">// Create the new Add/Mul/Add layer and set the Relu activation function</span></div>
1311<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; FusedDescriptor fusedDescriptor(numInputs, numOutputs, <a class="code" href="namespacearmnn.html#a52d63dc326ef2e2d373217b84ac4a402a6708d958187e663fd689cdad2b55b818">FusedKernelType::AddMulAdd</a>);</div>
1312<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#abfdd58b11ca2986bb45fc25ba4514347">NeonFusedWorkloadValidate</a>({inputInfos.begin(), inputInfos.end()},</div>
1313<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; {outputInfos.begin(), outputInfos.end()},</div>
1314<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; fusedDescriptor,</div>
1315<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160; activationDescriptor);</div>
1316<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160; <span class="keywordflow">if</span> (status)</div>
1317<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160; {</div>
1318<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; std::string fusedName;</div>
1319<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; <a class="code" href="namespacearmnn.html#a107fb425e884b38b3b8568334ae1ee3c">GetFusedName</a>(layerList, fusedName);</div>
1320<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160; </div>
1321<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; IConnectableLayer* addMulAddLayer =</div>
1322<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; optimizationViews.GetINetwork()-&gt;AddFusedLayer(fusedDescriptor, fusedName.c_str());</div>
1323<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160; </div>
1324<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160; <span class="keywordflow">if</span> (fuseReLu)</div>
1325<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; {</div>
1326<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160; FusedLayer* addMulAddFusedLayer = PolymorphicDowncast&lt;FusedLayer*&gt;(addMulAddLayer);</div>
1327<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; addMulAddFusedLayer-&gt;SetAdditionalInfoForObject(</div>
1328<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160; std::make_shared&lt;ActivationDescriptor&gt;(*activationDescriptor));</div>
1329<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; }</div>
1330<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; </div>
1331<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160; <span class="comment">// Update the graph</span></div>
1332<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; std::vector&lt;IConnectableLayer*&gt; originalLayers;</div>
1333<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layerIdx = 0; layerIdx &lt; 4; ++layerIdx)</div>
1334<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; {</div>
1335<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160; <span class="keywordflow">if</span> (layerList[layerIdx])</div>
1336<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160; {</div>
1337<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; originalLayers.push_back(layerList[layerIdx]);</div>
1338<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; }</div>
1339<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; }</div>
1340<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160; </div>
1341<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>&#160; std::vector&lt;SlotList&gt; inputLayersSlotLists, outputLayersSlotLists;</div>
1342<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160; BuildAddMulAddSlotLists&lt;SlotList&gt;(fuseReLu,</div>
1343<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160; outputInfos.size() &gt; 1,</div>
1344<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160; inputLayersSlotLists,</div>
1345<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160; outputLayersSlotLists);</div>
1346<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160; </div>
1347<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; ReplaceMultipleLayers&lt;FusedLayer&gt;(optimizationViews,</div>
1348<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; originalLayers,</div>
1349<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; PolymorphicDowncast&lt;FusedLayer*&gt;(addMulAddLayer),</div>
1350<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; inputLayersSlotLists,</div>
1351<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160; outputLayersSlotLists);</div>
1352<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160; </div>
1353<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160; <span class="comment">// Remove unused layers</span></div>
1354<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layerIdx = 0; layerIdx &lt; 4; ++layerIdx)</div>
1355<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; {</div>
1356<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; <span class="keywordflow">if</span> (layerList[layerIdx])</div>
1357<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160; {</div>
1358<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160; untouched.erase(layerList[layerIdx]-&gt;GetGuid());</div>
1359<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160; }</div>
1360<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160; }</div>
1361<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160; }</div>
1362<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160; }</div>
1363<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; }</div>
1364<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160; }</div>
1365<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160; </div>
1366<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160; <span class="keywordflow">if</span> (optimizationViews.GetSubstitutions().empty() &amp;&amp; optimizationViews.GetDeletedSubgraphs().empty())</div>
1367<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160; {</div>
1368<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160; optimizationViews.AddUntouchedSubgraph(SubgraphView(subgraph));</div>
1369<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160; }</div>
1370<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160; <span class="keywordflow">else</span></div>
1371<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160; {</div>
1372<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160; <a class="code" href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7">ReportUntouchedLayers</a>(optimizationViews, untouched);</div>
1373<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>&#160; }</div>
1374<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160; </div>
1375<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>&#160; <span class="keywordflow">return</span> optimizationViews;</div>
1376<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160;}</div>
1377</div><!-- fragment -->
1378<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">armnn::Add</a>, <a class="el" href="_network_8cpp_source.html#l00338">INetwork::AddFusedLayer()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="namespacearmnn.html#a52d63dc326ef2e2d373217b84ac4a402a6708d958187e663fd689cdad2b55b818">armnn::AddMulAdd</a>, <a class="el" href="_optimization_views_8hpp_source.html#l00048">OptimizationViews::AddUntouchedSubgraph()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::BatchNormalization</a>, <a class="el" href="_subgraph_view_8cpp_source.html#l00286">SubgraphView::begin()</a>, <a class="el" href="_layer_8hpp_source.html#l00266">Layer::BeginOutputSlots()</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="_subgraph_utils_8hpp_source.html#l00250">armnn::ConnectedToLayerWithNCHW()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::Convolution2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">armnn::Div</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::Division</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::ElementwiseBinary</a>, <a class="el" href="_subgraph_view_8cpp_source.html#l00291">SubgraphView::end()</a>, <a class="el" href="_layer_8hpp_source.html#l00267">Layer::EndOutputSlots()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::FullyConnected</a>, <a class="el" href="_layer_8hpp_source.html#l00368">Layer::GetAdditionalInformation()</a>, <a class="el" href="_layer_8hpp_source.html#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_optimization_views_8hpp_source.html#l00061">OptimizationViews::GetDeletedSubgraphs()</a>, <a class="el" href="_neon_backend_optimization_utils_8hpp_source.html#l00071">armnn::GetFusedName()</a>, <a class="el" href="_layer_8hpp_source.html#l00343">Layer::GetGuid()</a>, <a class="el" href="_optimization_views_8hpp_source.html#l00069">OptimizationViews::GetINetwork()</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters&lt; Parameters &gt;::GetParameters()</a>, <a class="el" href="_optimization_views_8hpp_source.html#l00058">OptimizationViews::GetSubstitutions()</a>, <a class="el" href="_layer_8cpp_source.html#l00100">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.html#l00286">Layer::GetType()</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.html#l00023">BatchNormalizationLayer::m_Beta</a>, <a class="el" href="_descriptors_8hpp_source.html#l00526">FullyConnectedDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l00582">Convolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l00708">DepthwiseConvolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.html#l00025">BatchNormalizationLayer::m_Gamma</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.html#l00019">BatchNormalizationLayer::m_Mean</a>, <a class="el" href="_descriptors_8hpp_source.html#l00125">ElementwiseBinaryDescriptor::m_Operation</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.html#l00021">BatchNormalizationLayer::m_Variance</a>, <a class="el" href="_descriptors_8hpp_source.html#l01556">ReduceDescriptor::m_vAxis</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">armnn::Mul</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::Multiplication</a>, <a class="el" href="_neon_addition_workload_8cpp_source.html#l00020">armnn::NeonAdditionWorkloadValidate()</a>, <a class="el" href="_neon_batch_normalization_workload_8cpp_source.html#l00024">armnn::NeonBatchNormalizationValidate()</a>, <a class="el" href="_neon_convolution2d_workload_8cpp_source.html#l00024">armnn::NeonConvolution2dWorkloadValidate()</a>, <a class="el" href="_neon_depthwise_convolution_workload_8cpp_source.html#l00029">armnn::NeonDepthwiseConvolutionWorkloadValidate()</a>, <a class="el" href="_neon_division_workload_8cpp_source.html#l00018">armnn::NeonDivisionWorkloadValidate()</a>, <a class="el" href="_neon_fully_connected_workload_8cpp_source.html#l00024">armnn::NeonFullyConnectedWorkloadValidate()</a>, <a class="el" href="_neon_fused_workload_8cpp_source.html#l00022">armnn::NeonFusedWorkloadValidate()</a>, <a class="el" href="_neon_multiplication_workload_8cpp_source.html#l00019">armnn::NeonMultiplicationWorkloadValidate()</a>, <a class="el" href="_neon_subtraction_workload_8cpp_source.html#l00022">armnn::NeonSubtractionWorkloadValidate()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::Reduce</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>, <a class="el" href="_subgraph_utils_8hpp_source.html#l00293">armnn::RemoveReshapeLayer()</a>, <a class="el" href="_subgraph_utils_8hpp_source.html#l00220">armnn::ReportUntouchedLayers()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::Reshape</a>, <a class="el" href="_layer_8hpp_source.html#l00373">Layer::SetAdditionalInfoForObject()</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::Sub</a>, and <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::Subtraction</a>.</p>
1379
1380</div>
1381</div>
1382<a id="a583bc4404a9d27ee1f8c46239637125d"></a>
1383<h2 class="memtitle"><span class="permalink"><a href="#a583bc4404a9d27ee1f8c46239637125d">&#9670;&nbsp;</a></span>RegisterTensorHandleFactories()</h2>
1384
1385<div class="memitem">
1386<div class="memproto">
1387<table class="mlabels">
1388 <tr>
1389 <td class="mlabels-left">
1390 <table class="memname">
1391 <tr>
1392 <td class="memname">void RegisterTensorHandleFactories </td>
1393 <td>(</td>
1394 <td class="paramtype">class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;&#160;</td>
1395 <td class="paramname"></td><td>)</td>
1396 <td></td>
1397 </tr>
1398 </table>
1399 </td>
1400 <td class="mlabels-right">
1401<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1402 </tr>
1403</table>
1404</div><div class="memdoc">
1405
1406<p>(<a class="el" href="classarmnn_1_1_optional.html">Optional</a>) Register TensorHandleFactories Either this method or <a class="el" href="classarmnn_1_1_neon_backend.html#a93fcb3bff141d8c77b53466a44b58eee">CreateMemoryManager()</a> and IWorkloadFactory::CreateTensor() IWorkloadFactory::CreateSubtensor() methods must be implemented. </p>
1407
1408<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a517bc1a44d6d2d7a45c1847fba287135">IBackendInternal</a>.</p>
1409
1410<p class="definition">Definition at line <a class="el" href="_neon_backend_8cpp_source.html#l00623">623</a> of file <a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a>.</p>
1411<div class="fragment"><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>&#160;{</div>
1412<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>&#160; <span class="keyword">auto</span> memoryManager = std::make_shared&lt;NeonMemoryManager&gt;(std::make_unique&lt;arm_compute::Allocator&gt;(),</div>
1413<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160; <a class="code" href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div>
1414<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>&#160; </div>
1415<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160; registry.RegisterMemoryManager(memoryManager);</div>
1416<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160; </div>
1417<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; <span class="keyword">auto</span> factory = std::make_unique&lt;NeonTensorHandleFactory&gt;(memoryManager);</div>
1418<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160; <span class="comment">// Register copy and import factory pair</span></div>
1419<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160; registry.RegisterCopyAndImportFactoryPair(factory-&gt;GetId(), factory-&gt;GetId());</div>
1420<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; <span class="comment">// Register the factory</span></div>
1421<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; registry.RegisterFactory(std::move(factory));</div>
1422<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>&#160;}</div>
1423</div><!-- fragment -->
1424<p class="reference">References <a class="el" href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::Offset</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, and <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>.</p>
1425
1426</div>
1427</div>
1428<hr/>The documentation for this class was generated from the following files:<ul>
1429<li>src/backends/neon/<a class="el" href="_neon_backend_8hpp_source.html">NeonBackend.hpp</a></li>
1430<li>src/backends/neon/<a class="el" href="_neon_backend_8cpp_source.html">NeonBackend.cpp</a></li>
1431</ul>
1432</div><!-- contents -->
1433</div><!-- doc-content -->
1434<div class="ttc" id="anamespacearmnn_html_ae455144d3472c502b636697f4775400c"><div class="ttname"><a href="namespacearmnn.html#ae455144d3472c502b636697f4775400c">armnn::NeonFullyConnectedWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonFullyConnectedWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases, const FullyConnectedDescriptor &amp;descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fully_connected_workload_8cpp_source.html#l00024">NeonFullyConnectedWorkload.cpp:24</a></div></div>
1435<div class="ttc" id="aclassarmnn_1_1_base_memory_manager_html_aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e"><div class="ttname"><a href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">armnn::BaseMemoryManager::MemoryAffinity::Offset</a></div><div class="ttdeci">@ Offset</div></div>
1436<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">armnn::BinaryOperation::Mul</a></div><div class="ttdeci">@ Mul</div></div>
1437<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">armnn::BinaryOperation::Add</a></div><div class="ttdeci">@ Add</div></div>
1438<div class="ttc" id="anamespacearmnn_html_a1b03e82a1a53b686aedea3734b2fb957"><div class="ttname"><a href="namespacearmnn.html#a1b03e82a1a53b686aedea3734b2fb957">armnn::NeonAdditionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonAdditionWorkloadValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_addition_workload_8cpp_source.html#l00020">NeonAdditionWorkload.cpp:20</a></div></div>
1439<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div>
1440<div class="ttc" id="anamespacearmnn_html_ad512520e809bfed4fbd3db9fbc241263"><div class="ttname"><a href="namespacearmnn.html#ad512520e809bfed4fbd3db9fbc241263">armnn::NeonMultiplicationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonMultiplicationWorkloadValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_multiplication_workload_8cpp_source.html#l00019">NeonMultiplicationWorkload.cpp:19</a></div></div>
1441<div class="ttc" id="anamespacearmnn_html_abc968e1323027f9e42cbc7642800d5ce"><div class="ttname"><a href="namespacearmnn.html#abc968e1323027f9e42cbc7642800d5ce">armnn::NeonSubtractionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSubtractionWorkloadValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_subtraction_workload_8cpp_source.html#l00022">NeonSubtractionWorkload.cpp:22</a></div></div>
1442<div class="ttc" id="anamespacearmnn_html_a107fb425e884b38b3b8568334ae1ee3c"><div class="ttname"><a href="namespacearmnn.html#a107fb425e884b38b3b8568334ae1ee3c">armnn::GetFusedName</a></div><div class="ttdeci">void GetFusedName(Layer *layerList[4], std::string &amp;fusedName)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_optimization_utils_8hpp_source.html#l00071">NeonBackendOptimizationUtils.hpp:71</a></div></div>
1443<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::BinaryOperation::Sub</a></div><div class="ttdeci">@ Sub</div></div>
1444<div class="ttc" id="aclassarmnn_1_1_neon_tensor_handle_factory_html_acdecb5b442434112c2cc8fc48c0ea922"><div class="ttname"><a href="classarmnn_1_1_neon_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">armnn::NeonTensorHandleFactory::GetIdStatic</a></div><div class="ttdeci">static const FactoryId &amp; GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_tensor_handle_factory_8cpp_source.html#l00089">NeonTensorHandleFactory.cpp:89</a></div></div>
1445<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdeci">@ BoundedReLu</div><div class="ttdoc">min(a, max(b, input)) ReLu1 &amp; ReLu6.</div></div>
1446<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div><div class="ttdeci">@ Reduce</div></div>
1447<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_ada6d56575c0fe53cf23c7ae4610c6367"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">armnn::IBackendInternal::IBackendContextPtr</a></div><div class="ttdeci">std::unique_ptr&lt; IBackendContext &gt; IBackendContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00090">IBackendInternal.hpp:90</a></div></div>
1448<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::LayerType::ElementwiseBinary</a></div><div class="ttdeci">@ ElementwiseBinary</div></div>
1449<div class="ttc" id="anamespacearmnn_html_a52d63dc326ef2e2d373217b84ac4a402a6708d958187e663fd689cdad2b55b818"><div class="ttname"><a href="namespacearmnn.html#a52d63dc326ef2e2d373217b84ac4a402a6708d958187e663fd689cdad2b55b818">armnn::FusedKernelType::AddMulAdd</a></div><div class="ttdeci">@ AddMulAdd</div></div>
1450<div class="ttc" id="anamespacearmnn_html_a2cafcc09d062f993b17f53499933a952"><div class="ttname"><a href="namespacearmnn.html#a2cafcc09d062f993b17f53499933a952">armnn::cpuAccCapabilities</a></div><div class="ttdeci">const BackendCapabilities cpuAccCapabilities(&quot;CpuAcc&quot;, { {&quot;NonConstWeights&quot;, true}, {&quot;AsyncExecution&quot;, false}, {&quot;ProtectedContentAllocation&quot;, false}, {&quot;ConstantTensorsAsInputs&quot;, true}, {&quot;PreImportIOTensors&quot;, false}, {&quot;ExternallyManagedMemory&quot;, true}, {&quot;MultiAxisPacking&quot;, false}, {&quot;SingleAxisPacking&quot;, true}, {&quot;HasFp16&quot;, arm_compute::CPUInfo::get().has_fp16()} })</div></div>
1451<div class="ttc" id="anamespacearmnn_html_a65c912bfcf02b3096f36caf21fa175d0"><div class="ttname"><a href="namespacearmnn.html#a65c912bfcf02b3096f36caf21fa175d0">armnn::NeonDivisionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDivisionWorkloadValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_division_workload_8cpp_source.html#l00018">NeonDivisionWorkload.cpp:18</a></div></div>
1452<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div><div class="ttdeci">@ Subtraction</div></div>
1453<div class="ttc" id="anamespacearmnn_html_ae756568a7f2c58778bb6d759d2bd38db"><div class="ttname"><a href="namespacearmnn.html#ae756568a7f2c58778bb6d759d2bd38db">armnn::RemoveReshapeLayer</a></div><div class="ttdeci">void RemoveReshapeLayer(ReshapeLayer *baseLayer, std::map&lt; LayerGuid, Layer * &gt; &amp;untouched, OptimizationViews &amp;optimizationViews)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00293">SubgraphUtils.hpp:293</a></div></div>
1454<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div><div class="ttdeci">@ Multiplication</div></div>
1455<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div><div class="ttdeci">@ Addition</div></div>
1456<div class="ttc" id="anamespacearmnn_html_a63d684b26fb838b22123490d780bce08"><div class="ttname"><a href="namespacearmnn.html#a63d684b26fb838b22123490d780bce08">armnn::NeonDepthwiseConvolutionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDepthwiseConvolutionWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const DepthwiseConvolution2dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_depthwise_convolution_workload_8cpp_source.html#l00029">NeonDepthwiseConvolutionWorkload.cpp:29</a></div></div>
1457<div class="ttc" id="aclassarmnn_1_1_neon_backend_html_a177af502214bbc8123fbb4a3c4f0a1b8"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">armnn::NeonBackend::GetIdStatic</a></div><div class="ttdeci">static const BackendId &amp; GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00046">NeonBackend.cpp:46</a></div></div>
1458<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div><div class="ttdeci">@ Division</div></div>
1459<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_ae44a82b0e485e551a0f77150b1076e06"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">armnn::IBackendInternal::IBackendProfilingContextPtr</a></div><div class="ttdeci">std::shared_ptr&lt; arm::pipe::IBackendProfilingContext &gt; 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.html#l00092">IBackendInternal.hpp:92</a></div></div>
1460<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div>
1461<div class="ttc" id="aclassarmnn_1_1_neon_backend_html_a2482b4a7d5bde88e9b963be08017ce2b"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">armnn::NeonBackend::CreateBackendSpecificModelContext</a></div><div class="ttdeci">IBackendInternal::IBackendSpecificModelContextPtr CreateBackendSpecificModelContext(const ModelOptions &amp;modelOptions) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00120">NeonBackend.cpp:120</a></div></div>
1462<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div>
1463<div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00042">Types.hpp:42</a></div></div>
1464<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div><div class="ttdeci">@ Reshape</div></div>
1465<div class="ttc" id="anamespacearmnn_html_abfdd58b11ca2986bb45fc25ba4514347"><div class="ttname"><a href="namespacearmnn.html#abfdd58b11ca2986bb45fc25ba4514347">armnn::NeonFusedWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonFusedWorkloadValidate(const std::vector&lt; std::reference_wrapper&lt; TensorInfo &gt;&gt; &amp;inputInfos, const std::vector&lt; std::reference_wrapper&lt; TensorInfo &gt;&gt; &amp;outputInfos, const FusedDescriptor &amp;fusedDescriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fused_workload_8cpp_source.html#l00022">NeonFusedWorkload.cpp:22</a></div></div>
1466<div class="ttc" id="anamespacearmnn_html_a45691b0c4a46c239b4986cfed95de13b"><div class="ttname"><a href="namespacearmnn.html#a45691b0c4a46c239b4986cfed95de13b">armnn::NeonConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const Convolution2dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases, bool isFastMathEnabled, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convolution2d_workload_8cpp_source.html#l00024">NeonConvolution2dWorkload.cpp:24</a></div></div>
1467<div class="ttc" id="anamespacearmnn_html_ac1be1c9a317b23b5684c83af59fb2c96"><div class="ttname"><a href="namespacearmnn.html#ac1be1c9a317b23b5684c83af59fb2c96">armnn::NeonBatchNormalizationValidate</a></div><div class="ttdeci">arm_compute::Status NeonBatchNormalizationValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const TensorInfo &amp;mean, const TensorInfo &amp;var, const TensorInfo &amp;beta, const TensorInfo &amp;gamma, const BatchNormalizationDescriptor &amp;descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_batch_normalization_workload_8cpp_source.html#l00024">NeonBatchNormalizationWorkload.cpp:24</a></div></div>
1468<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div><div class="ttdeci">@ ReLu</div></div>
1469<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_a11fa919c11fe46aad613b2e960fcfe90"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">armnn::IBackendInternal::ILayerSupportSharedPtr</a></div><div class="ttdeci">std::shared_ptr&lt; ILayerSupport &gt; ILayerSupportSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00094">IBackendInternal.hpp:94</a></div></div>
1470<div class="ttc" id="anamespacearmnn_html_a5afd10e5e84ebf5cb8cfc8707492eda7"><div class="ttname"><a href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7">armnn::ReportUntouchedLayers</a></div><div class="ttdeci">void ReportUntouchedLayers(OptimizationViews &amp;optimizationViews, std::map&lt; LayerGuid, Layer * &gt; untouched)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00220">SubgraphUtils.hpp:220</a></div></div>
1471<div class="ttc" id="anamespacearmnn_html_ac5089a2ee61f22570982e7a56588365a"><div class="ttname"><a href="namespacearmnn.html#ac5089a2ee61f22570982e7a56588365a">armnn::ConnectedToLayerWithNCHW</a></div><div class="ttdeci">bool ConnectedToLayerWithNCHW(Layer *baseLayer)</div><div class="ttdoc">Checks if the Layer is connected to any Layer that has an NCHW layout.</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00250">SubgraphUtils.hpp:250</a></div></div>
1472<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">armnn::BinaryOperation::Div</a></div><div class="ttdeci">@ Div</div></div>
1473<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div>
1474<div class="ttc" id="anamespacearmnn_html_a3a34a305e5187f3a3c67030d3bebbdb0"><div class="ttname"><a href="namespacearmnn.html#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.html#l00010">NeonBackendId.hpp:10</a></div></div>
1475<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div>
1476<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_a4d0238968a7643dbb170547dd22bba54"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">armnn::IBackendInternal::IBackendSpecificModelContextPtr</a></div><div class="ttdeci">std::shared_ptr&lt; IBackendModelContext &gt; IBackendSpecificModelContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00096">IBackendInternal.hpp:96</a></div></div>
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