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94<div class="header">
95 <div class="summary">
96<a href="#nested-classes">Classes</a> &#124;
97<a href="#pub-methods">Public Member Functions</a> &#124;
98<a href="#pub-static-methods">Static Public Member Functions</a> &#124;
99<a href="#pub-attribs">Public Attributes</a> &#124;
100<a href="classarmnn_1_1_gpu_fsa_backend-members.html">List of all members</a> </div>
101 <div class="headertitle">
102<div class="title">GpuFsaBackend Class Reference</div> </div>
103</div><!--header-->
104<div class="contents">
105
106<p><code>#include &lt;<a class="el" href="_gpu_fsa_backend_8hpp_source.html">GpuFsaBackend.hpp</a>&gt;</code></p>
107<div class="dynheader">
108Inheritance diagram for GpuFsaBackend:</div>
109<div class="dyncontent">
110<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_gpu_fsa_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>
111</div>
112<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
113<div class="dynheader">
114Collaboration diagram for GpuFsaBackend:</div>
115<div class="dyncontent">
116<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_gpu_fsa_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>
117</div>
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119<table class="memberdecls">
120<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
121Classes</h2></td></tr>
122<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend_1_1_cl_backend_custom_allocator_memory_region.html">ClBackendCustomAllocatorMemoryRegion</a></td></tr>
123<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
124<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend_1_1_gpu_fsa_backend_custom_allocator_wrapper.html">GpuFsaBackendCustomAllocatorWrapper</a></td></tr>
125<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
126</table><table class="memberdecls">
127<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
128Public Member Functions</h2></td></tr>
129<tr class="memitem:a9276766329005275da8c7776a3bd4e14"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a9276766329005275da8c7776a3bd4e14">GpuFsaBackend</a> ()</td></tr>
130<tr class="separator:a9276766329005275da8c7776a3bd4e14"><td class="memSeparator" colspan="2">&#160;</td></tr>
131<tr class="memitem:a7e9e0ac5cbec2ebb0088b6c88abd276b"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a7e9e0ac5cbec2ebb0088b6c88abd276b">GpuFsaBackend</a> (std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> &gt; allocator)</td></tr>
132<tr class="separator:a7e9e0ac5cbec2ebb0088b6c88abd276b"><td class="memSeparator" colspan="2">&#160;</td></tr>
133<tr class="memitem:ad6fcacd26dd76f95a616a2ada7f931e0"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#ad6fcacd26dd76f95a616a2ada7f931e0">~GpuFsaBackend</a> ()=default</td></tr>
134<tr class="separator:ad6fcacd26dd76f95a616a2ada7f931e0"><td class="memSeparator" colspan="2">&#160;</td></tr>
135<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_gpu_fsa_backend.html#a6c6c3d137a7792e264a89cc40ea94bb0">GetId</a> () const override</td></tr>
136<tr class="separator:a6c6c3d137a7792e264a89cc40ea94bb0"><td class="memSeparator" colspan="2">&#160;</td></tr>
137<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_gpu_fsa_backend.html#a93fcb3bff141d8c77b53466a44b58eee">CreateMemoryManager</a> () const override</td></tr>
138<tr class="separator:a93fcb3bff141d8c77b53466a44b58eee"><td class="memSeparator" colspan="2">&#160;</td></tr>
139<tr class="memitem:a8e19e275c8162e34e6d8d10a9245dbc9"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_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>
140<tr class="separator:a8e19e275c8162e34e6d8d10a9245dbc9"><td class="memSeparator" colspan="2">&#160;</td></tr>
141<tr class="memitem:aa2d432e503780e146c08729323da519a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#aa2d432e503780e146c08729323da519a">CreateWorkloadFactory</a> (<a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;registry) const override</td></tr>
142<tr class="separator:aa2d432e503780e146c08729323da519a"><td class="memSeparator" colspan="2">&#160;</td></tr>
143<tr class="memitem:a5362d5d9510627da3c9d5db2e669d64a"><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_gpu_fsa_backend.html#a5362d5d9510627da3c9d5db2e669d64a">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 override</td></tr>
144<tr class="separator:a5362d5d9510627da3c9d5db2e669d64a"><td class="memSeparator" colspan="2">&#160;</td></tr>
145<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_gpu_fsa_backend.html#a63559c7f206c265f5fff5ffcc8a58e3e">GetHandleFactoryPreferences</a> () const override</td></tr>
146<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_gpu_fsa_backend.html#a63559c7f206c265f5fff5ffcc8a58e3e">More...</a><br /></td></tr>
147<tr class="separator:a63559c7f206c265f5fff5ffcc8a58e3e"><td class="memSeparator" colspan="2">&#160;</td></tr>
148<tr class="memitem:a531177ce89c53c6af616175b0b05e5c0"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a531177ce89c53c6af616175b0b05e5c0">RegisterTensorHandleFactories</a> (<a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;registry) override</td></tr>
149<tr class="memdesc:a531177ce89c53c6af616175b0b05e5c0"><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_gpu_fsa_backend.html#a93fcb3bff141d8c77b53466a44b58eee">CreateMemoryManager()</a> and IWorkloadFactory::CreateTensor() IWorkloadFactory::CreateSubtensor() methods must be implemented. <a href="classarmnn_1_1_gpu_fsa_backend.html#a531177ce89c53c6af616175b0b05e5c0">More...</a><br /></td></tr>
150<tr class="separator:a531177ce89c53c6af616175b0b05e5c0"><td class="memSeparator" colspan="2">&#160;</td></tr>
151<tr class="memitem:a5f7312e595427f00078975f71c61dd8f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a5f7312e595427f00078975f71c61dd8f">RegisterTensorHandleFactories</a> (<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) override</td></tr>
152<tr class="memdesc:a5f7312e595427f00078975f71c61dd8f"><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_gpu_fsa_backend.html#a93fcb3bff141d8c77b53466a44b58eee">CreateMemoryManager()</a> and IWorkloadFactory::CreateTensor() IWorkloadFactory::CreateSubtensor() methods must be implemented. <a href="classarmnn_1_1_gpu_fsa_backend.html#a5f7312e595427f00078975f71c61dd8f">More...</a><br /></td></tr>
153<tr class="separator:a5f7312e595427f00078975f71c61dd8f"><td class="memSeparator" colspan="2">&#160;</td></tr>
154<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_gpu_fsa_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>
155<tr class="memdesc:a801cf3170dc777aca3e6f926d1bd70a5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create the runtime context of the backend. <a href="classarmnn_1_1_gpu_fsa_backend.html#a801cf3170dc777aca3e6f926d1bd70a5">More...</a><br /></td></tr>
156<tr class="separator:a801cf3170dc777aca3e6f926d1bd70a5"><td class="memSeparator" colspan="2">&#160;</td></tr>
157<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_gpu_fsa_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>
158<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_gpu_fsa_backend.html#a68c2ef244261cc9649799284774af132">More...</a><br /></td></tr>
159<tr class="separator:a68c2ef244261cc9649799284774af132"><td class="memSeparator" colspan="2">&#160;</td></tr>
160<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_gpu_fsa_backend.html#a93d4285a3ea5e4e3b35578484d889daa">GetLayerSupport</a> () const override</td></tr>
161<tr class="separator:a93d4285a3ea5e4e3b35578484d889daa"><td class="memSeparator" colspan="2">&#160;</td></tr>
162<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_gpu_fsa_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>
163<tr class="separator:a339efc194a1738cd93fcdde4d948a5cd"><td class="memSeparator" colspan="2">&#160;</td></tr>
164<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_gpu_fsa_backend.html#afb75bad43612f5314622c4fa8a16e63d">GetDefaultAllocator</a> () const override</td></tr>
165<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_gpu_fsa_backend.html#afb75bad43612f5314622c4fa8a16e63d">More...</a><br /></td></tr>
166<tr class="separator:afb75bad43612f5314622c4fa8a16e63d"><td class="memSeparator" colspan="2">&#160;</td></tr>
167<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_gpu_fsa_backend.html#ab9199ff425571ba62412bb903c2c933e">GetCapabilities</a> () const override</td></tr>
168<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_gpu_fsa_backend.html#ab9199ff425571ba62412bb903c2c933e">More...</a><br /></td></tr>
169<tr class="separator:ab9199ff425571ba62412bb903c2c933e"><td class="memSeparator" colspan="2">&#160;</td></tr>
170<tr class="memitem:a729cbc38a0ee1b8349cae8ef8acf1aad"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a729cbc38a0ee1b8349cae8ef8acf1aad">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;) override</td></tr>
171<tr class="memdesc:a729cbc38a0ee1b8349cae8ef8acf1aad"><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_gpu_fsa_backend.html#a729cbc38a0ee1b8349cae8ef8acf1aad">More...</a><br /></td></tr>
172<tr class="separator:a729cbc38a0ee1b8349cae8ef8acf1aad"><td class="memSeparator" colspan="2">&#160;</td></tr>
173<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>
174<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>
175<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>
176<tr class="separator:a8c507c220869f89aec2dc370ea6c5a0b inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
177<tr class="memitem:a22973198ab5ac5624b4caa78100d2d25 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#a22973198ab5ac5624b4caa78100d2d25">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</td></tr>
178<tr class="separator:a22973198ab5ac5624b4caa78100d2d25 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
179<tr class="memitem:aebacbea86fddc46858f6329671ccf750 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#aebacbea86fddc46858f6329671ccf750">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</td></tr>
180<tr class="separator:aebacbea86fddc46858f6329671ccf750 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
181<tr class="memitem:a41f38c8c2182463dec4f03769ea54f63 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#a4d0238968a7643dbb170547dd22bba54">IBackendSpecificModelContextPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a41f38c8c2182463dec4f03769ea54f63">CreateBackendSpecificModelContext</a> (const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;modelOptions) const</td></tr>
182<tr class="separator:a41f38c8c2182463dec4f03769ea54f63 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
183<tr class="memitem:aa654fe558005ad90f2e9a2e1f175ebce 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#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#aa654fe558005ad90f2e9a2e1f175ebce">GetLayerSupport</a> (const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;modelOptions) const</td></tr>
184<tr class="separator:aa654fe558005ad90f2e9a2e1f175ebce inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
185<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>
186<tr class="separator:a674f56c735a3d6300463cefb642f808a inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
187<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>
188<tr class="separator:af8f716b0eab6b9d63196d5a53d5fac81 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
189<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>
190<tr class="separator:a6ccbb386cc96a5336a8295a3c25d33dd inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
191<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>
192<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>
193<tr class="separator:a87d128382876683170ffc3529aadabbf inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
194<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>
195<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>
196<tr class="separator:a86a4b2845b0da158907d657c7b147ab0 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
197<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>
198<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>
199<tr class="separator:adf96527a67532246f07ce44266e95e79 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
200</table><table class="memberdecls">
201<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
202Static Public Member Functions</h2></td></tr>
203<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_gpu_fsa_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">GetIdStatic</a> ()</td></tr>
204<tr class="separator:a177af502214bbc8123fbb4a3c4f0a1b8"><td class="memSeparator" colspan="2">&#160;</td></tr>
205<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>
206<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>
207<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>
208<tr class="separator:a878b8f50d8a2f92ed624803e9f6968ae inherit pub_static_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
209</table><table class="memberdecls">
210<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
211Public Attributes</h2></td></tr>
212<tr class="memitem:afe31515f8502943018e1a6244beea1a2"><td class="memItemLeft" align="right" valign="top">std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_gpu_fsa_backend_1_1_gpu_fsa_backend_custom_allocator_wrapper.html">GpuFsaBackendCustomAllocatorWrapper</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a></td></tr>
213<tr class="separator:afe31515f8502943018e1a6244beea1a2"><td class="memSeparator" colspan="2">&#160;</td></tr>
214<tr class="memitem:adda2579a4649278c81f18a1d3915b3a0"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a> = false</td></tr>
215<tr class="separator:adda2579a4649278c81f18a1d3915b3a0"><td class="memSeparator" colspan="2">&#160;</td></tr>
216</table><table class="memberdecls">
217<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
218Additional Inherited Members</h2></td></tr>
219<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>
220<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>
221<tr class="separator:a72ca1cf423bda4b0a9ffb789627126de inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
222<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>
223<tr class="separator:ada6d56575c0fe53cf23c7ae4610c6367 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
224<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>
225<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>
226<tr class="separator:ae44a82b0e485e551a0f77150b1076e06 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
227<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>
228<tr class="separator:a335964abd41c91f7e6ef5c65865a7b98 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
229<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>
230<tr class="separator:a11fa919c11fe46aad613b2e960fcfe90 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
231<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>
232<tr class="separator:a4d0238968a7643dbb170547dd22bba54 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
233<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>
234<tr class="separator:a12bff6d51d63dac1375c89bc8415dc46 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
235<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>
236<tr class="separator:a693b40e6b94e958836aeb0410ca186bd inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
237<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>
238<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>
239<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>
240<tr class="separator:a675fed08e681be4343fb09ae73eb7641 inherit pro_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2">&#160;</td></tr>
241<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>
242<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>
243<tr class="separator:a7cfc55eae265fa65b7d25e7dd3203f22 inherit pro_methods_classarmnn_1_1_i_backend"><td class="memSeparator" colspan="2">&#160;</td></tr>
244<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>
245<tr class="separator:aa73289e0503a4f7ec5909e117a57aa2b inherit pro_methods_classarmnn_1_1_i_backend"><td class="memSeparator" colspan="2">&#160;</td></tr>
246</table>
247<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
248<div class="textblock">
249<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00054">54</a> of file <a class="el" href="_gpu_fsa_backend_8hpp_source.html">GpuFsaBackend.hpp</a>.</p>
250</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
251<a id="a9276766329005275da8c7776a3bd4e14"></a>
252<h2 class="memtitle"><span class="permalink"><a href="#a9276766329005275da8c7776a3bd4e14">&#9670;&nbsp;</a></span>GpuFsaBackend() <span class="overload">[1/2]</span></h2>
253
254<div class="memitem">
255<div class="memproto">
256<table class="mlabels">
257 <tr>
258 <td class="mlabels-left">
259 <table class="memname">
260 <tr>
261 <td class="memname"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html">GpuFsaBackend</a> </td>
262 <td>(</td>
263 <td class="paramname"></td><td>)</td>
264 <td></td>
265 </tr>
266 </table>
267 </td>
268 <td class="mlabels-right">
269<span class="mlabels"><span class="mlabel">inline</span></span> </td>
270 </tr>
271</table>
272</div><div class="memdoc">
273
274<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00058">58</a> of file <a class="el" href="_gpu_fsa_backend_8hpp_source.html">GpuFsaBackend.hpp</a>.</p>
275<div class="fragment"><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;: <a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a>(<span class="keyword">nullptr</span>) {};</div>
276</div><!-- fragment -->
277</div>
278</div>
279<a id="a7e9e0ac5cbec2ebb0088b6c88abd276b"></a>
280<h2 class="memtitle"><span class="permalink"><a href="#a7e9e0ac5cbec2ebb0088b6c88abd276b">&#9670;&nbsp;</a></span>GpuFsaBackend() <span class="overload">[2/2]</span></h2>
281
282<div class="memitem">
283<div class="memproto">
284<table class="mlabels">
285 <tr>
286 <td class="mlabels-left">
287 <table class="memname">
288 <tr>
289 <td class="memname"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html">GpuFsaBackend</a> </td>
290 <td>(</td>
291 <td class="paramtype">std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> &gt;&#160;</td>
292 <td class="paramname"><em>allocator</em></td><td>)</td>
293 <td></td>
294 </tr>
295 </table>
296 </td>
297 <td class="mlabels-right">
298<span class="mlabels"><span class="mlabel">inline</span></span> </td>
299 </tr>
300</table>
301</div><div class="memdoc">
302
303<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00060">60</a> of file <a class="el" href="_gpu_fsa_backend_8hpp_source.html">GpuFsaBackend.hpp</a>.</p>
304<div class="fragment"><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; {</div>
305<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#a729cbc38a0ee1b8349cae8ef8acf1aad">UseCustomMemoryAllocator</a>(allocator, <a class="code" href="structarmnn_1_1_empty_optional.html">armnn::EmptyOptional</a>());</div>
306<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; }</div>
307</div><!-- fragment -->
308<p class="reference">References <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00105">GpuFsaBackend::UseCustomMemoryAllocator()</a>.</p>
309
310</div>
311</div>
312<a id="ad6fcacd26dd76f95a616a2ada7f931e0"></a>
313<h2 class="memtitle"><span class="permalink"><a href="#ad6fcacd26dd76f95a616a2ada7f931e0">&#9670;&nbsp;</a></span>~GpuFsaBackend()</h2>
314
315<div class="memitem">
316<div class="memproto">
317<table class="mlabels">
318 <tr>
319 <td class="mlabels-left">
320 <table class="memname">
321 <tr>
322 <td class="memname">~<a class="el" href="classarmnn_1_1_gpu_fsa_backend.html">GpuFsaBackend</a> </td>
323 <td>(</td>
324 <td class="paramname"></td><td>)</td>
325 <td></td>
326 </tr>
327 </table>
328 </td>
329 <td class="mlabels-right">
330<span class="mlabels"><span class="mlabel">default</span></span> </td>
331 </tr>
332</table>
333</div><div class="memdoc">
334
335</div>
336</div>
337<h2 class="groupheader">Member Function Documentation</h2>
338<a id="a801cf3170dc777aca3e6f926d1bd70a5"></a>
339<h2 class="memtitle"><span class="permalink"><a href="#a801cf3170dc777aca3e6f926d1bd70a5">&#9670;&nbsp;</a></span>CreateBackendContext()</h2>
340
341<div class="memitem">
342<div class="memproto">
343<table class="mlabels">
344 <tr>
345 <td class="mlabels-left">
346 <table class="memname">
347 <tr>
348 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendInternal::IBackendContextPtr</a> CreateBackendContext </td>
349 <td>(</td>
350 <td class="paramtype">const <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">IRuntime::CreationOptions</a> &amp;&#160;</td>
351 <td class="paramname"></td><td>)</td>
352 <td> const</td>
353 </tr>
354 </table>
355 </td>
356 <td class="mlabels-right">
357<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
358 </tr>
359</table>
360</div><div class="memdoc">
361
362<p>Create the runtime context of the backend. </p>
363<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>
364
365<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a07a1b3f9ac897364b5c2aacc227cbebc">IBackendInternal</a>.</p>
366
367<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00198">198</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
368<div class="fragment"><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160;{</div>
369<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendContextPtr</a>{<span class="keyword">new</span> GpuFsaBackendContext{options}};</div>
370<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;}</div>
371</div><!-- fragment -->
372</div>
373</div>
374<a id="a68c2ef244261cc9649799284774af132"></a>
375<h2 class="memtitle"><span class="permalink"><a href="#a68c2ef244261cc9649799284774af132">&#9670;&nbsp;</a></span>CreateBackendProfilingContext()</h2>
376
377<div class="memitem">
378<div class="memproto">
379<table class="mlabels">
380 <tr>
381 <td class="mlabels-left">
382 <table class="memname">
383 <tr>
384 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendInternal::IBackendProfilingContextPtr</a> CreateBackendProfilingContext </td>
385 <td>(</td>
386 <td class="paramtype">const <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">IRuntime::CreationOptions</a> &amp;&#160;</td>
387 <td class="paramname"><em>creationOptions</em>, </td>
388 </tr>
389 <tr>
390 <td class="paramkey"></td>
391 <td></td>
392 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a335964abd41c91f7e6ef5c65865a7b98">IBackendProfilingPtr</a> &amp;&#160;</td>
393 <td class="paramname"><em>backendProfiling</em>&#160;</td>
394 </tr>
395 <tr>
396 <td></td>
397 <td>)</td>
398 <td></td><td></td>
399 </tr>
400 </table>
401 </td>
402 <td class="mlabels-right">
403<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
404 </tr>
405</table>
406</div><div class="memdoc">
407
408<p>Create context specifically used for profiling interaction from backends. </p>
409
410<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a6c5064ef6323af5c547674d01b15d7ab">IBackendInternal</a>.</p>
411
412<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00203">203</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
413<div class="fragment"><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;{</div>
414<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendProfilingContextPtr</a>{};</div>
415<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160;}</div>
416</div><!-- fragment -->
417</div>
418</div>
419<a id="a93fcb3bff141d8c77b53466a44b58eee"></a>
420<h2 class="memtitle"><span class="permalink"><a href="#a93fcb3bff141d8c77b53466a44b58eee">&#9670;&nbsp;</a></span>CreateMemoryManager()</h2>
421
422<div class="memitem">
423<div class="memproto">
424<table class="mlabels">
425 <tr>
426 <td class="mlabels-left">
427 <table class="memname">
428 <tr>
429 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a12bff6d51d63dac1375c89bc8415dc46">IBackendInternal::IMemoryManagerUniquePtr</a> CreateMemoryManager </td>
430 <td>(</td>
431 <td class="paramname"></td><td>)</td>
432 <td> const</td>
433 </tr>
434 </table>
435 </td>
436 <td class="mlabels-right">
437<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
438 </tr>
439</table>
440</div><div class="memdoc">
441
442<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a0fe4c12c8f1f0722d2a91f61c02a687a">IBackendInternal</a>.</p>
443
444<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00075">75</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
445<div class="fragment"><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;{</div>
446<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div>
447<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; {</div>
448<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;GpuFsaMemoryManager&gt;(<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a>);</div>
449<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; }</div>
450<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;GpuFsaMemoryManager&gt;(std::make_unique&lt;arm_compute::CLBufferAllocator&gt;());</div>
451<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;}</div>
452</div><!-- fragment -->
453<p class="reference">References <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00303">GpuFsaBackend::m_CustomAllocator</a>, and <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00304">GpuFsaBackend::m_UsingCustomAllocator</a>.</p>
454
455</div>
456</div>
457<a id="a5362d5d9510627da3c9d5db2e669d64a"></a>
458<h2 class="memtitle"><span class="permalink"><a href="#a5362d5d9510627da3c9d5db2e669d64a">&#9670;&nbsp;</a></span>CreateWorkloadFactory() <span class="overload">[1/3]</span></h2>
459
460<div class="memitem">
461<div class="memproto">
462<table class="mlabels">
463 <tr>
464 <td class="mlabels-left">
465 <table class="memname">
466 <tr>
467 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td>
468 <td>(</td>
469 <td class="paramtype">class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;&#160;</td>
470 <td class="paramname"><em>tensorHandleFactoryRegistry</em>, </td>
471 </tr>
472 <tr>
473 <td class="paramkey"></td>
474 <td></td>
475 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;&#160;</td>
476 <td class="paramname"><em>modelOptions</em>, </td>
477 </tr>
478 <tr>
479 <td class="paramkey"></td>
480 <td></td>
481 <td class="paramtype"><a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a>&#160;</td>
482 <td class="paramname"><em>inputFlags</em>, </td>
483 </tr>
484 <tr>
485 <td class="paramkey"></td>
486 <td></td>
487 <td class="paramtype"><a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a>&#160;</td>
488 <td class="paramname"><em>outputFlags</em>&#160;</td>
489 </tr>
490 <tr>
491 <td></td>
492 <td>)</td>
493 <td></td><td> const</td>
494 </tr>
495 </table>
496 </td>
497 <td class="mlabels-right">
498<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
499 </tr>
500</table>
501</div><div class="memdoc">
502
503<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a6abedf4465c7f6b634a207d228cdf284">IBackendInternal</a>.</p>
504
505<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00111">111</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
506<div class="fragment"><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;{</div>
507<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; </div>
508<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="comment">// To allow force import if inputFlags/outputFlags are Undefined, set it as Malloc</span></div>
509<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordflow">if</span> (inputFlags == <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">&gt;</span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div>
510<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; {</div>
511<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; inputFlags = <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">&gt;</span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div>
512<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; }</div>
513<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">if</span> (outputFlags == <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">&gt;</span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div>
514<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; {</div>
515<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; outputFlags = <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">&gt;</span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div>
516<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; }</div>
517<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; </div>
518<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; std::shared_ptr&lt;GpuFsaMemoryManager&gt; memoryManager;</div>
519<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div>
520<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; {</div>
521<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; memoryManager = std::make_shared&lt;GpuFsaMemoryManager&gt;(<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a>);</div>
522<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; }</div>
523<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keywordflow">else</span></div>
524<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; {</div>
525<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; memoryManager = std::make_shared&lt;GpuFsaMemoryManager&gt;(std::make_unique&lt;arm_compute::CLBufferAllocator&gt;());</div>
526<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; }</div>
527<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; </div>
528<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; std::unique_ptr&lt;ITensorHandleFactory&gt; factory = std::make_unique&lt;GpuFsaTensorHandleFactory&gt;(memoryManager);</div>
529<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; </div>
530<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; registry.RegisterMemoryManager(memoryManager);</div>
531<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; registry.RegisterFactory(std::move(factory));</div>
532<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; </div>
533<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;GpuFsaWorkloadFactory&gt;(PolymorphicPointerDowncast&lt;GpuFsaMemoryManager&gt;(memoryManager));</div>
534<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;}</div>
535</div><!-- fragment -->
536<p class="reference">References <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00303">GpuFsaBackend::m_CustomAllocator</a>, <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00304">GpuFsaBackend::m_UsingCustomAllocator</a>, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::Malloc</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>, and <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</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">[2/3]</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="_gpu_fsa_backend_8cpp_source.html#l00084">84</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
567<div class="fragment"><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;{</div>
568<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;GpuFsaWorkloadFactory&gt;(PolymorphicPointerDowncast&lt;GpuFsaMemoryManager&gt;(memoryManager));</div>
569<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;}</div>
570</div><!-- fragment -->
571</div>
572</div>
573<a id="aa2d432e503780e146c08729323da519a"></a>
574<h2 class="memtitle"><span class="permalink"><a href="#aa2d432e503780e146c08729323da519a">&#9670;&nbsp;</a></span>CreateWorkloadFactory() <span class="overload">[3/3]</span></h2>
575
576<div class="memitem">
577<div class="memproto">
578<table class="mlabels">
579 <tr>
580 <td class="mlabels-left">
581 <table class="memname">
582 <tr>
583 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td>
584 <td>(</td>
585 <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;&#160;</td>
586 <td class="paramname"><em>registry</em></td><td>)</td>
587 <td> const</td>
588 </tr>
589 </table>
590 </td>
591 <td class="mlabels-right">
592<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
593 </tr>
594</table>
595</div><div class="memdoc">
596
597<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a41c5c170ef6708c1efc683d900f624ff">IBackendInternal</a>.</p>
598
599<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00090">90</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
600<div class="fragment"><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;{</div>
601<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; std::shared_ptr&lt;GpuFsaMemoryManager&gt; memoryManager;</div>
602<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div>
603<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; {</div>
604<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; memoryManager = std::make_shared&lt;GpuFsaMemoryManager&gt;(<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a>);</div>
605<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; }</div>
606<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordflow">else</span></div>
607<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; {</div>
608<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; memoryManager = std::make_shared&lt;GpuFsaMemoryManager&gt;(std::make_unique&lt;arm_compute::CLBufferAllocator&gt;());</div>
609<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; }</div>
610<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; </div>
611<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; std::unique_ptr&lt;ITensorHandleFactory&gt; factory = std::make_unique&lt;GpuFsaTensorHandleFactory&gt;(memoryManager);</div>
612<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; </div>
613<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; registry.RegisterMemoryManager(memoryManager);</div>
614<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; registry.RegisterFactory(std::move(factory));</div>
615<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; </div>
616<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;GpuFsaWorkloadFactory&gt;(PolymorphicPointerDowncast&lt;GpuFsaMemoryManager&gt;(memoryManager));</div>
617<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;}</div>
618</div><!-- fragment -->
619<p class="reference">References <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00303">GpuFsaBackend::m_CustomAllocator</a>, <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00304">GpuFsaBackend::m_UsingCustomAllocator</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>
620
621</div>
622</div>
623<a id="ab9199ff425571ba62412bb903c2c933e"></a>
624<h2 class="memtitle"><span class="permalink"><a href="#ab9199ff425571ba62412bb903c2c933e">&#9670;&nbsp;</a></span>GetCapabilities()</h2>
625
626<div class="memitem">
627<div class="memproto">
628<table class="mlabels">
629 <tr>
630 <td class="mlabels-left">
631 <table class="memname">
632 <tr>
633 <td class="memname"><a class="el" href="namespacearmnn.html#aa9c506b558b8aa33a228b15164f40dc3">BackendCapabilities</a> GetCapabilities </td>
634 <td>(</td>
635 <td class="paramname"></td><td>)</td>
636 <td> const</td>
637 </tr>
638 </table>
639 </td>
640 <td class="mlabels-right">
641<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
642 </tr>
643</table>
644</div><div class="memdoc">
645
646<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>
647
648<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a057f6c5c3ab3248050ed548273c4beb9">IBackendInternal</a>.</p>
649
650<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00100">100</a> of file <a class="el" href="_gpu_fsa_backend_8hpp_source.html">GpuFsaBackend.hpp</a>.</p>
651<div class="fragment"><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; {</div>
652<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#afcf2f9c617481601a888f1f9425586ba">gpuFsaCapabilities</a>;</div>
653<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; };</div>
654</div><!-- fragment -->
655<p class="reference">References <a class="el" href="namespacearmnn.html#afcf2f9c617481601a888f1f9425586ba">armnn::gpuFsaCapabilities</a>.</p>
656
657</div>
658</div>
659<a id="afb75bad43612f5314622c4fa8a16e63d"></a>
660<h2 class="memtitle"><span class="permalink"><a href="#afb75bad43612f5314622c4fa8a16e63d">&#9670;&nbsp;</a></span>GetDefaultAllocator()</h2>
661
662<div class="memitem">
663<div class="memproto">
664<table class="mlabels">
665 <tr>
666 <td class="mlabels-left">
667 <table class="memname">
668 <tr>
669 <td class="memname">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> &gt; GetDefaultAllocator </td>
670 <td>(</td>
671 <td class="paramname"></td><td>)</td>
672 <td> const</td>
673 </tr>
674 </table>
675 </td>
676 <td class="mlabels-right">
677<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
678 </tr>
679</table>
680</div><div class="memdoc">
681
682<p>Returns the default memory allocator for the backend. </p>
683<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>
684
685<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a563472222884844adc3183c433f38e54">IBackendInternal</a>.</p>
686
687<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00215">215</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
688<div class="fragment"><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160;{</div>
689<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;GpuFsaBackendDefaultAllocator&gt;();</div>
690<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160;}</div>
691</div><!-- fragment -->
692</div>
693</div>
694<a id="a63559c7f206c265f5fff5ffcc8a58e3e"></a>
695<h2 class="memtitle"><span class="permalink"><a href="#a63559c7f206c265f5fff5ffcc8a58e3e">&#9670;&nbsp;</a></span>GetHandleFactoryPreferences()</h2>
696
697<div class="memitem">
698<div class="memproto">
699<table class="mlabels">
700 <tr>
701 <td class="mlabels-left">
702 <table class="memname">
703 <tr>
704 <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>
705 <td>(</td>
706 <td class="paramname"></td><td>)</td>
707 <td> const</td>
708 </tr>
709 </table>
710 </td>
711 <td class="mlabels-right">
712<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
713 </tr>
714</table>
715</div><div class="memdoc">
716
717<p>(<a class="el" href="classarmnn_1_1_optional.html">Optional</a>) Returns a vector of supported TensorHandleFactory ids in preference order. </p>
718
719<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#ac5d107c5672f446603b6e6b92bce6244">IBackendInternal</a>.</p>
720
721<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00146">146</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
722<div class="fragment"><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;{</div>
723<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordflow">return</span> std::vector&lt;ITensorHandleFactory::FactoryId&gt; { <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">GpuFsaTensorHandleFactory::GetIdStatic</a>() };</div>
724<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;}</div>
725</div><!-- fragment -->
726<p class="reference">References <a class="el" href="_gpu_fsa_tensor_handle_factory_8cpp_source.html#l00086">GpuFsaTensorHandleFactory::GetIdStatic()</a>.</p>
727
728</div>
729</div>
730<a id="a6c6c3d137a7792e264a89cc40ea94bb0"></a>
731<h2 class="memtitle"><span class="permalink"><a href="#a6c6c3d137a7792e264a89cc40ea94bb0">&#9670;&nbsp;</a></span>GetId()</h2>
732
733<div class="memitem">
734<div class="memproto">
735<table class="mlabels">
736 <tr>
737 <td class="mlabels-left">
738 <table class="memname">
739 <tr>
740 <td class="memname">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a>&amp; GetId </td>
741 <td>(</td>
742 <td class="paramname"></td><td>)</td>
743 <td> const</td>
744 </tr>
745 </table>
746 </td>
747 <td class="mlabels-right">
748<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
749 </tr>
750</table>
751</div><div class="memdoc">
752
753<p>Implements <a class="el" href="classarmnn_1_1_i_backend.html#aa9fc23b7155bd678232eeb351059b748">IBackend</a>.</p>
754
755<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00067">67</a> of file <a class="el" href="_gpu_fsa_backend_8hpp_source.html">GpuFsaBackend.hpp</a>.</p>
756<div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;{ <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">GetIdStatic</a>(); }</div>
757</div><!-- fragment -->
758<p class="reference">References <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00069">GpuFsaBackend::GetIdStatic()</a>.</p>
759
760<p class="reference">Referenced by <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00220">GpuFsaBackend::OptimizeSubgraphView()</a>.</p>
761
762</div>
763</div>
764<a id="a177af502214bbc8123fbb4a3c4f0a1b8"></a>
765<h2 class="memtitle"><span class="permalink"><a href="#a177af502214bbc8123fbb4a3c4f0a1b8">&#9670;&nbsp;</a></span>GetIdStatic()</h2>
766
767<div class="memitem">
768<div class="memproto">
769<table class="mlabels">
770 <tr>
771 <td class="mlabels-left">
772 <table class="memname">
773 <tr>
774 <td class="memname">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &amp; GetIdStatic </td>
775 <td>(</td>
776 <td class="paramname"></td><td>)</td>
777 <td></td>
778 </tr>
779 </table>
780 </td>
781 <td class="mlabels-right">
782<span class="mlabels"><span class="mlabel">static</span></span> </td>
783 </tr>
784</table>
785</div><div class="memdoc">
786
787<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00069">69</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
788<div class="fragment"><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;{</div>
789<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keyword">static</span> <span class="keyword">const</span> BackendId s_Id{<a class="code" href="namespacearmnn.html#ab912656f08118f8b81f8261b5e0dc3a9">GpuFsaBackendId</a>()};</div>
790<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordflow">return</span> s_Id;</div>
791<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;}</div>
792</div><!-- fragment -->
793<p class="reference">References <a class="el" href="_gpu_fsa_backend_id_8hpp_source.html#l00010">armnn::GpuFsaBackendId()</a>.</p>
794
795<p class="reference">Referenced by <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00067">GpuFsaBackend::GetId()</a>.</p>
796
797</div>
798</div>
799<a id="a93d4285a3ea5e4e3b35578484d889daa"></a>
800<h2 class="memtitle"><span class="permalink"><a href="#a93d4285a3ea5e4e3b35578484d889daa">&#9670;&nbsp;</a></span>GetLayerSupport()</h2>
801
802<div class="memitem">
803<div class="memproto">
804<table class="mlabels">
805 <tr>
806 <td class="mlabels-left">
807 <table class="memname">
808 <tr>
809 <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">IBackendInternal::ILayerSupportSharedPtr</a> GetLayerSupport </td>
810 <td>(</td>
811 <td class="paramname"></td><td>)</td>
812 <td> const</td>
813 </tr>
814 </table>
815 </td>
816 <td class="mlabels-right">
817<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
818 </tr>
819</table>
820</div><div class="memdoc">
821
822<p>Implements <a class="el" href="classarmnn_1_1_i_backend_internal.html#ad86597efa7c25997572c80dc29f3104a">IBackendInternal</a>.</p>
823
824<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00209">209</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
825<div class="fragment"><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160;{</div>
826<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport{<span class="keyword">new</span> GpuFsaLayerSupport};</div>
827<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="keywordflow">return</span> layerSupport;</div>
828<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;}</div>
829</div><!-- fragment -->
830</div>
831</div>
832<a id="a339efc194a1738cd93fcdde4d948a5cd"></a>
833<h2 class="memtitle"><span class="permalink"><a href="#a339efc194a1738cd93fcdde4d948a5cd">&#9670;&nbsp;</a></span>OptimizeSubgraphView()</h2>
834
835<div class="memitem">
836<div class="memproto">
837<table class="mlabels">
838 <tr>
839 <td class="mlabels-left">
840 <table class="memname">
841 <tr>
842 <td class="memname"><a class="el" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a> OptimizeSubgraphView </td>
843 <td>(</td>
844 <td class="paramtype">const <a class="el" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a> &amp;&#160;</td>
845 <td class="paramname"><em>subgraph</em>, </td>
846 </tr>
847 <tr>
848 <td class="paramkey"></td>
849 <td></td>
850 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &amp;&#160;</td>
851 <td class="paramname"><em>modelOptions</em>&#160;</td>
852 </tr>
853 <tr>
854 <td></td>
855 <td>)</td>
856 <td></td><td> const</td>
857 </tr>
858 </table>
859 </td>
860 <td class="mlabels-right">
861<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
862 </tr>
863</table>
864</div><div class="memdoc">
865
866<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a3623ac8294bf071d68eb7d71383e9a83">IBackendInternal</a>.</p>
867
868<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00220">220</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
869<div class="fragment"><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;{</div>
870<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; OptimizationViews optimizationViews(modelOptions);</div>
871<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; </div>
872<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <span class="keyword">using namespace </span>arm_compute::experimental::dynamic_fusion;</div>
873<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; </div>
874<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <span class="keyword">auto</span> it = subgraph.end();</div>
875<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; std::map&lt;LayerGuid, Layer*&gt; untouched;</div>
876<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <span class="keywordflow">while</span> (it != subgraph.begin())</div>
877<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; {</div>
878<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; --it;</div>
879<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; Layer&amp; base = *(PolymorphicDowncast&lt;Layer*&gt;(*it));</div>
880<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; untouched.insert({base.GetGuid(), &amp;base});</div>
881<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; }</div>
882<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; </div>
883<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; GpuFsaLayerSupport supportChecker;</div>
884<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; it = subgraph.end();</div>
885<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; arm_compute::CLCompileContext* compileCtx = &amp;(arm_compute::CLKernelLibrary::get().get_compile_context());</div>
886<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; </div>
887<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <span class="comment">// Setup the GpuWokloadContext which will exist for the lifetime of the Graph. This contains the TensorInfos</span></div>
888<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; std::shared_ptr&lt;GpuWorkloadContext&gt; workloadContext = std::make_shared&lt;GpuWorkloadContext&gt;(compileCtx);</div>
889<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; <span class="keywordflow">while</span> (it != subgraph.begin())</div>
890<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; {</div>
891<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; --it;</div>
892<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; Layer&amp; base = *(PolymorphicDowncast&lt;Layer*&gt;(*it));</div>
893<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <span class="comment">// Create a GpuFsaPreCompiledBlob, this contains all of the information needed to execute an operator</span></div>
894<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; GpuFsaPreCompiledBlob* preCompiledBlobPtr = <span class="keyword">new</span> GpuFsaPreCompiledBlob();</div>
895<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; preCompiledBlobPtr-&gt;workloadContext = workloadContext;</div>
896<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; preCompiledBlobPtr-&gt;sketch = std::make_unique&lt;GpuWorkloadSketch&gt;(workloadContext.get());</div>
897<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; </div>
898<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <span class="comment">// Configure and setup the sketch for each supported op. Their data will be wrapped into a PreCompiled layer</span></div>
899<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <span class="keywordflow">switch</span> (base.GetType())</div>
900<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; {</div>
901<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>):</div>
902<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; {</div>
903<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; <span class="keyword">auto</span> desc = PolymorphicDowncast&lt;const ActivationDescriptor*&gt;(&amp;base.GetParameters());</div>
904<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
905<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <a class="code" href="namespacearmnn.html#a40f8d250a71183a6cd1b700b287fc32c">GpuFsaActivationCreateOp</a>(preCompiledBlobPtr, input, *desc);</div>
906<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <span class="keywordflow">break</span>;</div>
907<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; }</div>
908<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">LayerType::Cast</a>):</div>
909<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; {</div>
910<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
911<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keyword">auto</span> output = base.GetOutputSlot(0).GetTensorInfo();</div>
912<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; <a class="code" href="namespacearmnn.html#aa2889978c1d194097838a2a0e671da60">GpuFsaCastCreateOp</a>(preCompiledBlobPtr, input, output);</div>
913<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <span class="keywordflow">break</span>;</div>
914<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; }</div>
915<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>):</div>
916<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; {</div>
917<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
918<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <span class="keyword">auto</span> weights = base.GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
919<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; </div>
920<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <span class="keyword">auto</span> desc = PolymorphicDowncast&lt;const Convolution2dDescriptor*&gt;(&amp;base.GetParameters());</div>
921<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">if</span> (desc-&gt;m_BiasEnabled)</div>
922<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; {</div>
923<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="keyword">auto</span> bias = base.GetInputSlot(2).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
924<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <a class="code" href="namespacearmnn.html#ab8a797269fd9db3b8832998f10ad9688">GpuFsaConvolution2dCreateOp</a>(preCompiledBlobPtr,</div>
925<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; input,</div>
926<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; *desc,</div>
927<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; weights,</div>
928<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; bias);</div>
929<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; }</div>
930<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; <span class="keywordflow">else</span></div>
931<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; {</div>
932<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <a class="code" href="namespacearmnn.html#ab8a797269fd9db3b8832998f10ad9688">GpuFsaConvolution2dCreateOp</a>(preCompiledBlobPtr,</div>
933<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; input,</div>
934<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; *desc,</div>
935<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; weights,</div>
936<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; EmptyOptional());</div>
937<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; }</div>
938<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; <span class="keywordflow">break</span>;</div>
939<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; }</div>
940<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">LayerType::BatchMatMul</a>):</div>
941<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; {</div>
942<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <span class="keyword">auto</span> input0 = base.GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
943<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; <span class="keyword">auto</span> input1 = base.GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
944<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="keyword">auto</span> desc = PolymorphicDowncast&lt;const BatchMatMulDescriptor*&gt;(&amp;base.GetParameters());</div>
945<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; <a class="code" href="namespacearmnn.html#a1334119d4ee3de23f273ee91aa256cbd">GpuFsaBatchMatMulCreateOp</a>(preCompiledBlobPtr, input0, input1, *desc);</div>
946<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="keywordflow">break</span>;</div>
947<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; }</div>
948<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>):</div>
949<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; {</div>
950<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
951<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; <span class="keyword">auto</span> weights = base.GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
952<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; </div>
953<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; <span class="keyword">auto</span> desc = PolymorphicDowncast&lt;const DepthwiseConvolution2dDescriptor*&gt;(&amp;base.GetParameters());</div>
954<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; <span class="keywordflow">if</span> (desc-&gt;m_BiasEnabled)</div>
955<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; {</div>
956<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="keyword">auto</span> bias = base.GetInputSlot(2).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
957<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; <a class="code" href="namespacearmnn.html#a5bdf4240a1fbda27b5fc84baba721781">GpuFsaDepthwiseConvolution2dCreateOp</a>(preCompiledBlobPtr,</div>
958<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; input,</div>
959<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; *desc,</div>
960<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; weights,</div>
961<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; bias);</div>
962<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; }</div>
963<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <span class="keywordflow">else</span></div>
964<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; {</div>
965<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; <a class="code" href="namespacearmnn.html#a5bdf4240a1fbda27b5fc84baba721781">GpuFsaDepthwiseConvolution2dCreateOp</a>(preCompiledBlobPtr,</div>
966<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; input,</div>
967<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; *desc,</div>
968<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; weights,</div>
969<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; EmptyOptional());</div>
970<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; }</div>
971<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; <span class="keywordflow">break</span>;</div>
972<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; }</div>
973<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>:</div>
974<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; {</div>
975<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; <span class="keyword">auto</span> desc = PolymorphicDowncast&lt;const ElementwiseBinaryDescriptor *&gt;(&amp;base.GetParameters());</div>
976<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; <span class="keyword">auto</span> input0 = base.GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
977<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; <span class="keyword">auto</span> input1 = base.GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
978<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; <a class="code" href="namespacearmnn.html#ab9fda8f44398cd4c531c9ac136f2a1bf">GpuFsaElementwiseBinaryCreateOp</a>(preCompiledBlobPtr, input0, input1, *desc);</div>
979<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; <span class="keywordflow">break</span>;</div>
980<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; }</div>
981<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>):</div>
982<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; {</div>
983<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
984<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; <span class="keyword">auto</span> desc = PolymorphicDowncast&lt;const Pooling2dDescriptor*&gt;(&amp;base.GetParameters());</div>
985<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; <a class="code" href="namespacearmnn.html#abcce06cfe2568f392b05010579e83ae0">GpuFsaPooling2dCreateOp</a>(preCompiledBlobPtr, input, *desc);</div>
986<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; <span class="keywordflow">break</span>;</div>
987<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; }</div>
988<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>:</div>
989<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; {</div>
990<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
991<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; <span class="keyword">auto</span> desc = PolymorphicDowncast&lt;const ReshapeDescriptor*&gt;(&amp;base.GetParameters());</div>
992<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; <a class="code" href="namespacearmnn.html#a4cc1900a15abbcc19a632e99c7c2120f">GpuFsaReshapeCreateOp</a>(preCompiledBlobPtr, input, *desc);</div>
993<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; </div>
994<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; <span class="keywordflow">break</span>;</div>
995<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; }</div>
996<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a>):</div>
997<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; {</div>
998<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
999<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; <span class="keyword">auto</span> desc = PolymorphicDowncast&lt;const ResizeDescriptor*&gt;(&amp;base.GetParameters());</div>
1000<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; <a class="code" href="namespacearmnn.html#a67faae0ae4e9d94069de01964d3fa0a0">GpuFsaResizeCreateOp</a>(preCompiledBlobPtr, input, *desc);</div>
1001<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; <span class="keywordflow">break</span>;</div>
1002<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; }</div>
1003<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a>):</div>
1004<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; {</div>
1005<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
1006<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; <span class="keyword">auto</span> output = base.GetOutputSlot(0).GetTensorInfo();</div>
1007<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; </div>
1008<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; <span class="keyword">auto</span> desc = PolymorphicDowncast&lt;const SoftmaxDescriptor*&gt;(&amp;base.GetParameters());</div>
1009<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; <a class="code" href="namespacearmnn.html#af347e46317f7427d35f87c6fae065bcb">GpuFsaSoftmaxCreateOp</a>(preCompiledBlobPtr,</div>
1010<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; input,</div>
1011<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; output,</div>
1012<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; *desc);</div>
1013<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; <span class="keywordflow">break</span>;</div>
1014<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; }</div>
1015<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; <span class="keywordflow">default</span>:</div>
1016<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; <span class="comment">// unsupported layer for GpuFsa backend</span></div>
1017<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; <span class="keywordflow">continue</span>;</div>
1018<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; }</div>
1019<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; </div>
1020<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; <span class="keyword">auto</span> compiledBlob =</div>
1021<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; std::make_unique&lt;PreCompiledObjectPtr&gt;(preCompiledBlobPtr, DeleteAsType&lt;GpuFsaPreCompiledBlob&gt;);</div>
1022<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; </div>
1023<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; IConnectableLayer* preCompiledLayer = optimizationViews.GetINetwork()-&gt;AddPrecompiledLayer(</div>
1024<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; PreCompiledDescriptor(base.GetNumInputSlots(), base.GetNumOutputSlots()),</div>
1025<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; std::move(*compiledBlob),</div>
1026<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional&lt;BackendId&gt;</a>(<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#a6c6c3d137a7792e264a89cc40ea94bb0">GetId</a>()),</div>
1027<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; <span class="stringliteral">&quot;GpuFsa_Pre_Compiled_Layer&quot;</span>);</div>
1028<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; </div>
1029<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; <span class="comment">// Copy the output tensor infos from sub-graph</span></div>
1030<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; subgraph.GetNumOutputSlots(); i++)</div>
1031<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; {</div>
1032<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; preCompiledLayer-&gt;GetOutputSlot(i).SetTensorInfo(base.GetOutputSlot(i).GetTensorInfo());</div>
1033<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; }</div>
1034<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; </div>
1035<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; <a class="code" href="classarmnn_1_1_subgraph_view.html#ad5fc1b5213dcb72c0d4ac9dfb46ef677">SubgraphView::SubgraphViewPtr</a> substituteSubgraph =</div>
1036<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; <a class="code" href="namespacearmnn.html#a5ce134e586578a4c448a128f95b4d7af">CreateSubgraphViewFrom</a>(<a class="code" href="namespacearmnn.html#a3f6dfcc7396ea476f96658ae6cb02b54">CreateInputsFrom</a>(&amp;base),</div>
1037<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; <a class="code" href="namespacearmnn.html#a047e95685b63fedaa1d2ebb3b9428ff5">CreateOutputsFrom</a>(&amp;base),</div>
1038<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; {&amp;base});</div>
1039<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; </div>
1040<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; optimizationViews.AddSubstitution({ std::move(*substituteSubgraph), SubgraphView(preCompiledLayer) });</div>
1041<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; </div>
1042<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; untouched.erase(base.GetGuid());</div>
1043<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; }</div>
1044<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; </div>
1045<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; <span class="keywordflow">if</span> (optimizationViews.GetSubstitutions().empty())</div>
1046<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; {</div>
1047<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; optimizationViews.AddUntouchedSubgraph(SubgraphView(subgraph));</div>
1048<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; }</div>
1049<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; <span class="keywordflow">else</span></div>
1050<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; {</div>
1051<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; <a class="code" href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7">ReportUntouchedLayers</a>(optimizationViews, untouched);</div>
1052<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; }</div>
1053<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; </div>
1054<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; </div>
1055<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; <span class="keywordflow">return</span> optimizationViews;</div>
1056<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160;}</div>
1057</div><!-- fragment -->
1058<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="_network_8cpp_source.html#l00368">INetwork::AddPrecompiledLayer()</a>, <a class="el" href="_optimization_views_8hpp_source.html#l00038">OptimizationViews::AddSubstitution()</a>, <a class="el" href="_optimization_views_8hpp_source.html#l00048">OptimizationViews::AddUntouchedSubgraph()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::BatchMatMul</a>, <a class="el" href="_subgraph_view_8cpp_source.html#l00286">SubgraphView::begin()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::Cast</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::Convolution2d</a>, <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00042">armnn::CreateInputsFrom()</a>, <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00052">armnn::CreateOutputsFrom()</a>, <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00062">armnn::CreateSubgraphViewFrom()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</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#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00343">Layer::GetGuid()</a>, <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00067">GpuFsaBackend::GetId()</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#l00334">Layer::GetNumInputSlots()</a>, <a class="el" href="_subgraph_view_8cpp_source.html#l00276">SubgraphView::GetNumOutputSlots()</a>, <a class="el" href="_layer_8hpp_source.html#l00335">Layer::GetNumOutputSlots()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00378">Layer::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="_gpu_fsa_activation_8cpp_source.html#l00058">armnn::GpuFsaActivationCreateOp()</a>, <a class="el" href="_gpu_fsa_batch_mat_mul_8cpp_source.html#l00051">armnn::GpuFsaBatchMatMulCreateOp()</a>, <a class="el" href="_gpu_fsa_cast_8cpp_source.html#l00061">armnn::GpuFsaCastCreateOp()</a>, <a class="el" href="_gpu_fsa_convolution2d_8cpp_source.html#l00070">armnn::GpuFsaConvolution2dCreateOp()</a>, <a class="el" href="_gpu_fsa_depthwise_convolution2d_8cpp_source.html#l00089">armnn::GpuFsaDepthwiseConvolution2dCreateOp()</a>, <a class="el" href="_gpu_fsa_elementwise_binary_8cpp_source.html#l00063">armnn::GpuFsaElementwiseBinaryCreateOp()</a>, <a class="el" href="_gpu_fsa_pooling2d_8cpp_source.html#l00040">armnn::GpuFsaPooling2dCreateOp()</a>, <a class="el" href="_gpu_fsa_reshape_8cpp_source.html#l00049">armnn::GpuFsaReshapeCreateOp()</a>, <a class="el" href="_gpu_fsa_resize_8cpp_source.html#l00039">armnn::GpuFsaResizeCreateOp()</a>, <a class="el" href="_gpu_fsa_softmax_8cpp_source.html#l00063">armnn::GpuFsaSoftmaxCreateOp()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::Pooling2d</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="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::Resize</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>, <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00034">GpuFsaPreCompiledBlob::sketch</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::Softmax</a>, and <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00035">GpuFsaPreCompiledBlob::workloadContext</a>.</p>
1059
1060</div>
1061</div>
1062<a id="a531177ce89c53c6af616175b0b05e5c0"></a>
1063<h2 class="memtitle"><span class="permalink"><a href="#a531177ce89c53c6af616175b0b05e5c0">&#9670;&nbsp;</a></span>RegisterTensorHandleFactories() <span class="overload">[1/2]</span></h2>
1064
1065<div class="memitem">
1066<div class="memproto">
1067<table class="mlabels">
1068 <tr>
1069 <td class="mlabels-left">
1070 <table class="memname">
1071 <tr>
1072 <td class="memname">void RegisterTensorHandleFactories </td>
1073 <td>(</td>
1074 <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;&#160;</td>
1075 <td class="paramname"></td><td>)</td>
1076 <td></td>
1077 </tr>
1078 </table>
1079 </td>
1080 <td class="mlabels-right">
1081<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1082 </tr>
1083</table>
1084</div><div class="memdoc">
1085
1086<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_gpu_fsa_backend.html#a93fcb3bff141d8c77b53466a44b58eee">CreateMemoryManager()</a> and IWorkloadFactory::CreateTensor() IWorkloadFactory::CreateSubtensor() methods must be implemented. </p>
1087
1088<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a517bc1a44d6d2d7a45c1847fba287135">IBackendInternal</a>.</p>
1089
1090<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00151">151</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
1091<div class="fragment"><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;{</div>
1092<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; std::shared_ptr&lt;GpuFsaMemoryManager&gt; memoryManager;</div>
1093<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div>
1094<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; {</div>
1095<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; memoryManager = std::make_shared&lt;GpuFsaMemoryManager&gt;(<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a>);</div>
1096<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; }</div>
1097<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordflow">else</span></div>
1098<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; {</div>
1099<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; memoryManager = std::make_shared&lt;GpuFsaMemoryManager&gt;(std::make_unique&lt;arm_compute::CLBufferAllocator&gt;());</div>
1100<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; }</div>
1101<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; </div>
1102<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; std::unique_ptr&lt;ITensorHandleFactory&gt; factory = std::make_unique&lt;GpuFsaTensorHandleFactory&gt;(memoryManager);</div>
1103<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; registry.RegisterMemoryManager(memoryManager);</div>
1104<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; registry.RegisterFactory(std::move(factory));</div>
1105<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; </div>
1106<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;}</div>
1107</div><!-- fragment -->
1108<p class="reference">References <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00303">GpuFsaBackend::m_CustomAllocator</a>, <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00304">GpuFsaBackend::m_UsingCustomAllocator</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>
1109
1110</div>
1111</div>
1112<a id="a5f7312e595427f00078975f71c61dd8f"></a>
1113<h2 class="memtitle"><span class="permalink"><a href="#a5f7312e595427f00078975f71c61dd8f">&#9670;&nbsp;</a></span>RegisterTensorHandleFactories() <span class="overload">[2/2]</span></h2>
1114
1115<div class="memitem">
1116<div class="memproto">
1117<table class="mlabels">
1118 <tr>
1119 <td class="mlabels-left">
1120 <table class="memname">
1121 <tr>
1122 <td class="memname">void RegisterTensorHandleFactories </td>
1123 <td>(</td>
1124 <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;&#160;</td>
1125 <td class="paramname"><em>registry</em>, </td>
1126 </tr>
1127 <tr>
1128 <td class="paramkey"></td>
1129 <td></td>
1130 <td class="paramtype"><a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a>&#160;</td>
1131 <td class="paramname"><em>inputFlags</em>, </td>
1132 </tr>
1133 <tr>
1134 <td class="paramkey"></td>
1135 <td></td>
1136 <td class="paramtype"><a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a>&#160;</td>
1137 <td class="paramname"><em>outputFlags</em>&#160;</td>
1138 </tr>
1139 <tr>
1140 <td></td>
1141 <td>)</td>
1142 <td></td><td></td>
1143 </tr>
1144 </table>
1145 </td>
1146 <td class="mlabels-right">
1147<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1148 </tr>
1149</table>
1150</div><div class="memdoc">
1151
1152<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_gpu_fsa_backend.html#a93fcb3bff141d8c77b53466a44b58eee">CreateMemoryManager()</a> and IWorkloadFactory::CreateTensor() IWorkloadFactory::CreateSubtensor() methods must be implemented. </p>
1153
1154<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a36b46ce669164b5188cb21796557d897">IBackendInternal</a>.</p>
1155
1156<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00169">169</a> of file <a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a>.</p>
1157<div class="fragment"><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;{</div>
1158<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="comment">// To allow force import if inputFlags/outputFlags are Undefined, set it as Malloc</span></div>
1159<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="keywordflow">if</span> (inputFlags == <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">&gt;</span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div>
1160<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; {</div>
1161<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; inputFlags = <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">&gt;</span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div>
1162<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; }</div>
1163<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <span class="keywordflow">if</span> (outputFlags == <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">&gt;</span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div>
1164<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; {</div>
1165<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; outputFlags = <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">&gt;</span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div>
1166<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; }</div>
1167<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; </div>
1168<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; std::shared_ptr&lt;GpuFsaMemoryManager&gt; memoryManager;</div>
1169<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div>
1170<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; {</div>
1171<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; memoryManager = std::make_shared&lt;GpuFsaMemoryManager&gt;(<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a>);</div>
1172<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; }</div>
1173<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <span class="keywordflow">else</span></div>
1174<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; {</div>
1175<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; memoryManager = std::make_shared&lt;GpuFsaMemoryManager&gt;(std::make_unique&lt;arm_compute::CLBufferAllocator&gt;());</div>
1176<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; }</div>
1177<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; </div>
1178<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; std::unique_ptr&lt;ITensorHandleFactory&gt; factory = std::make_unique&lt;GpuFsaTensorHandleFactory&gt;(memoryManager);</div>
1179<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; registry.RegisterMemoryManager(memoryManager);</div>
1180<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; registry.RegisterFactory(std::move(factory));</div>
1181<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;}</div>
1182</div><!-- fragment -->
1183<p class="reference">References <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00303">GpuFsaBackend::m_CustomAllocator</a>, <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00304">GpuFsaBackend::m_UsingCustomAllocator</a>, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::Malloc</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>, and <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>.</p>
1184
1185</div>
1186</div>
1187<a id="a729cbc38a0ee1b8349cae8ef8acf1aad"></a>
1188<h2 class="memtitle"><span class="permalink"><a href="#a729cbc38a0ee1b8349cae8ef8acf1aad">&#9670;&nbsp;</a></span>UseCustomMemoryAllocator()</h2>
1189
1190<div class="memitem">
1191<div class="memproto">
1192<table class="mlabels">
1193 <tr>
1194 <td class="mlabels-left">
1195 <table class="memname">
1196 <tr>
1197 <td class="memname">virtual bool UseCustomMemoryAllocator </td>
1198 <td>(</td>
1199 <td class="paramtype">std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> &gt;&#160;</td>
1200 <td class="paramname"><em>allocator</em>, </td>
1201 </tr>
1202 <tr>
1203 <td class="paramkey"></td>
1204 <td></td>
1205 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">armnn::Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1206 <td class="paramname"><em>errMsg</em>&#160;</td>
1207 </tr>
1208 <tr>
1209 <td></td>
1210 <td>)</td>
1211 <td></td><td></td>
1212 </tr>
1213 </table>
1214 </td>
1215 <td class="mlabels-right">
1216<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1217 </tr>
1218</table>
1219</div><div class="memdoc">
1220
1221<p>Signals the backend to use a custom memory allocator provided by the user. </p>
1222<dl class="params"><dt>Parameters</dt><dd>
1223 <table class="params">
1224 <tr><td class="paramname">allocator</td><td>- a pointer to the provided <a class="el" href="classarmnn_1_1_i_custom_allocator.html" title="Custom Allocator interface.">ICustomAllocator</a> to use with this backend </td></tr>
1225 <tr><td class="paramname">errMsg</td><td>- <a class="el" href="classarmnn_1_1_optional.html">Optional</a> string variable to return error messages </td></tr>
1226 </table>
1227 </dd>
1228</dl>
1229<dl class="section return"><dt>Returns</dt><dd>- Returns true if switching to custom allocator was successful </dd></dl>
1230
1231<p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a8a8eb1a5eb458445a2e5a7c7cd4424cb">IBackendInternal</a>.</p>
1232
1233<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00105">105</a> of file <a class="el" href="_gpu_fsa_backend_8hpp_source.html">GpuFsaBackend.hpp</a>.</p>
1234<div class="fragment"><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; {</div>
1235<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) &lt;&lt; <span class="stringliteral">&quot;Using Custom Allocator for GpuFsaBackend&quot;</span>;</div>
1236<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; </div>
1237<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="comment">// Set flag to signal the backend to use a custom memory allocator</span></div>
1238<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a> = std::make_shared&lt;GpuFsaBackendCustomAllocatorWrapper&gt;(std::move(allocator));</div>
1239<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a> = <span class="keyword">true</span>;</div>
1240<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>;</div>
1241<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; }</div>
1242</div><!-- fragment -->
1243<p class="reference">References <a class="el" href="_logging_8hpp_source.html#l00212">ARMNN_LOG</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00303">GpuFsaBackend::m_CustomAllocator</a>, and <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00304">GpuFsaBackend::m_UsingCustomAllocator</a>.</p>
1244
1245<p class="reference">Referenced by <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00060">GpuFsaBackend::GpuFsaBackend()</a>.</p>
1246
1247</div>
1248</div>
1249<h2 class="groupheader">Member Data Documentation</h2>
1250<a id="afe31515f8502943018e1a6244beea1a2"></a>
1251<h2 class="memtitle"><span class="permalink"><a href="#afe31515f8502943018e1a6244beea1a2">&#9670;&nbsp;</a></span>m_CustomAllocator</h2>
1252
1253<div class="memitem">
1254<div class="memproto">
1255 <table class="memname">
1256 <tr>
1257 <td class="memname">std::shared_ptr&lt;<a class="el" href="classarmnn_1_1_gpu_fsa_backend_1_1_gpu_fsa_backend_custom_allocator_wrapper.html">GpuFsaBackendCustomAllocatorWrapper</a>&gt; m_CustomAllocator</td>
1258 </tr>
1259 </table>
1260</div><div class="memdoc">
1261
1262<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00303">303</a> of file <a class="el" href="_gpu_fsa_backend_8hpp_source.html">GpuFsaBackend.hpp</a>.</p>
1263
1264<p class="reference">Referenced by <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00075">GpuFsaBackend::CreateMemoryManager()</a>, <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00090">GpuFsaBackend::CreateWorkloadFactory()</a>, <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00151">GpuFsaBackend::RegisterTensorHandleFactories()</a>, and <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00105">GpuFsaBackend::UseCustomMemoryAllocator()</a>.</p>
1265
1266</div>
1267</div>
1268<a id="adda2579a4649278c81f18a1d3915b3a0"></a>
1269<h2 class="memtitle"><span class="permalink"><a href="#adda2579a4649278c81f18a1d3915b3a0">&#9670;&nbsp;</a></span>m_UsingCustomAllocator</h2>
1270
1271<div class="memitem">
1272<div class="memproto">
1273 <table class="memname">
1274 <tr>
1275 <td class="memname">bool m_UsingCustomAllocator = false</td>
1276 </tr>
1277 </table>
1278</div><div class="memdoc">
1279
1280<p class="definition">Definition at line <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00304">304</a> of file <a class="el" href="_gpu_fsa_backend_8hpp_source.html">GpuFsaBackend.hpp</a>.</p>
1281
1282<p class="reference">Referenced by <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00075">GpuFsaBackend::CreateMemoryManager()</a>, <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00090">GpuFsaBackend::CreateWorkloadFactory()</a>, <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00151">GpuFsaBackend::RegisterTensorHandleFactories()</a>, and <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00105">GpuFsaBackend::UseCustomMemoryAllocator()</a>.</p>
1283
1284</div>
1285</div>
1286<hr/>The documentation for this class was generated from the following files:<ul>
1287<li>src/backends/gpuFsa/<a class="el" href="_gpu_fsa_backend_8hpp_source.html">GpuFsaBackend.hpp</a></li>
1288<li>src/backends/gpuFsa/<a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a></li>
1289</ul>
1290</div><!-- contents -->
1291</div><!-- doc-content -->
1292<div class="ttc" id="anamespacearmnn_html_a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523"><div class="ttname"><a href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::MemorySource::Malloc</a></div><div class="ttdeci">@ Malloc</div></div>
1293<div class="ttc" id="anamespacearmnn_html_af347e46317f7427d35f87c6fae065bcb"><div class="ttname"><a href="namespacearmnn.html#af347e46317f7427d35f87c6fae065bcb">armnn::GpuFsaSoftmaxCreateOp</a></div><div class="ttdeci">void GpuFsaSoftmaxCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &amp;input, const TensorInfo &amp;output, const SoftmaxDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_softmax_8cpp_source.html#l00063">GpuFsaSoftmax.cpp:63</a></div></div>
1294<div class="ttc" id="anamespacearmnn_html_ab9fda8f44398cd4c531c9ac136f2a1bf"><div class="ttname"><a href="namespacearmnn.html#ab9fda8f44398cd4c531c9ac136f2a1bf">armnn::GpuFsaElementwiseBinaryCreateOp</a></div><div class="ttdeci">void GpuFsaElementwiseBinaryCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &amp;input0, const TensorInfo &amp;input1, const ElementwiseBinaryDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_elementwise_binary_8cpp_source.html#l00063">GpuFsaElementwiseBinary.cpp:63</a></div></div>
1295<div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div>
1296<div class="ttc" id="anamespacearmnn_html_abcce06cfe2568f392b05010579e83ae0"><div class="ttname"><a href="namespacearmnn.html#abcce06cfe2568f392b05010579e83ae0">armnn::GpuFsaPooling2dCreateOp</a></div><div class="ttdeci">void GpuFsaPooling2dCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &amp;input, const Pooling2dDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_pooling2d_8cpp_source.html#l00040">GpuFsaPooling2d.cpp:40</a></div></div>
1297<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_backend_html_a177af502214bbc8123fbb4a3c4f0a1b8"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">armnn::GpuFsaBackend::GetIdStatic</a></div><div class="ttdeci">static const BackendId &amp; GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8cpp_source.html#l00069">GpuFsaBackend.cpp:69</a></div></div>
1298<div class="ttc" id="anamespacearmnn_html_a1334119d4ee3de23f273ee91aa256cbd"><div class="ttname"><a href="namespacearmnn.html#a1334119d4ee3de23f273ee91aa256cbd">armnn::GpuFsaBatchMatMulCreateOp</a></div><div class="ttdeci">void GpuFsaBatchMatMulCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &amp;input0, const TensorInfo &amp;input1, const BatchMatMulDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_batch_mat_mul_8cpp_source.html#l00051">GpuFsaBatchMatMul.cpp:51</a></div></div>
1299<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_backend_html_adda2579a4649278c81f18a1d3915b3a0"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">armnn::GpuFsaBackend::m_UsingCustomAllocator</a></div><div class="ttdeci">bool m_UsingCustomAllocator</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8hpp_source.html#l00304">GpuFsaBackend.hpp:304</a></div></div>
1300<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_factory_html_acdecb5b442434112c2cc8fc48c0ea922"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">armnn::GpuFsaTensorHandleFactory::GetIdStatic</a></div><div class="ttdeci">static const FactoryId &amp; GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_factory_8cpp_source.html#l00086">GpuFsaTensorHandleFactory.cpp:86</a></div></div>
1301<div class="ttc" id="anamespacearmnn_html_a40f8d250a71183a6cd1b700b287fc32c"><div class="ttname"><a href="namespacearmnn.html#a40f8d250a71183a6cd1b700b287fc32c">armnn::GpuFsaActivationCreateOp</a></div><div class="ttdeci">void GpuFsaActivationCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &amp;input, const ActivationDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_activation_8cpp_source.html#l00058">GpuFsaActivation.cpp:58</a></div></div>
1302<div class="ttc" id="anamespacearmnn_html_a5b05f3b7208ec7cea3338e30057c0bac"><div class="ttname"><a href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">armnn::MemorySourceFlags</a></div><div class="ttdeci">unsigned int MemorySourceFlags</div><div class="ttdef"><b>Definition:</b> <a href="_memory_sources_8hpp_source.html#l00015">MemorySources.hpp:15</a></div></div>
1303<div class="ttc" id="anamespacearmnn_html_ab912656f08118f8b81f8261b5e0dc3a9"><div class="ttname"><a href="namespacearmnn.html#ab912656f08118f8b81f8261b5e0dc3a9">armnn::GpuFsaBackendId</a></div><div class="ttdeci">constexpr const char * GpuFsaBackendId()</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_id_8hpp_source.html#l00010">GpuFsaBackendId.hpp:10</a></div></div>
1304<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>
1305<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>
1306<div class="ttc" id="anamespacearmnn_html_a4cc1900a15abbcc19a632e99c7c2120f"><div class="ttname"><a href="namespacearmnn.html#a4cc1900a15abbcc19a632e99c7c2120f">armnn::GpuFsaReshapeCreateOp</a></div><div class="ttdeci">void GpuFsaReshapeCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &amp;input, const ReshapeDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_reshape_8cpp_source.html#l00049">GpuFsaReshape.cpp:49</a></div></div>
1307<div class="ttc" id="a_logging_8hpp_html_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.html#l00212">Logging.hpp:212</a></div></div>
1308<div class="ttc" id="anamespacearmnn_html_a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">armnn::MemorySource::Undefined</a></div><div class="ttdeci">@ Undefined</div></div>
1309<div class="ttc" id="astructarmnn_1_1_empty_optional_html"><div class="ttname"><a href="structarmnn_1_1_empty_optional.html">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00032">Optional.hpp:32</a></div></div>
1310<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div>
1311<div class="ttc" id="aclassarmnn_1_1_subgraph_view_html_ad5fc1b5213dcb72c0d4ac9dfb46ef677"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html#ad5fc1b5213dcb72c0d4ac9dfb46ef677">armnn::SubgraphView::SubgraphViewPtr</a></div><div class="ttdeci">std::shared_ptr&lt; SubgraphView &gt; SubgraphViewPtr</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.html#l00056">SubgraphView.hpp:56</a></div></div>
1312<div class="ttc" id="anamespacearmnn_html_a5bdf4240a1fbda27b5fc84baba721781"><div class="ttname"><a href="namespacearmnn.html#a5bdf4240a1fbda27b5fc84baba721781">armnn::GpuFsaDepthwiseConvolution2dCreateOp</a></div><div class="ttdeci">void GpuFsaDepthwiseConvolution2dCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &amp;input, const DepthwiseConvolution2dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_depthwise_convolution2d_8cpp_source.html#l00089">GpuFsaDepthwiseConvolution2d.cpp:89</a></div></div>
1313<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_backend_html_a729cbc38a0ee1b8349cae8ef8acf1aad"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_backend.html#a729cbc38a0ee1b8349cae8ef8acf1aad">armnn::GpuFsaBackend::UseCustomMemoryAllocator</a></div><div class="ttdeci">virtual bool UseCustomMemoryAllocator(std::shared_ptr&lt; ICustomAllocator &gt; allocator, armnn::Optional&lt; std::string &amp; &gt;) override</div><div class="ttdoc">Signals the backend to use a custom memory allocator provided by the user.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8hpp_source.html#l00105">GpuFsaBackend.hpp:105</a></div></div>
1314<div class="ttc" id="anamespacearmnn_html_a5ce134e586578a4c448a128f95b4d7af"><div class="ttname"><a href="namespacearmnn.html#a5ce134e586578a4c448a128f95b4d7af">armnn::CreateSubgraphViewFrom</a></div><div class="ttdeci">SubgraphView::SubgraphViewPtr CreateSubgraphViewFrom(SubgraphView::InputSlots &amp;&amp;inputs, SubgraphView::OutputSlots &amp;&amp;outputs, SubgraphView::Layers &amp;&amp;layers)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8cpp_source.html#l00062">GpuFsaBackend.cpp:62</a></div></div>
1315<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_backend_html_afe31515f8502943018e1a6244beea1a2"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">armnn::GpuFsaBackend::m_CustomAllocator</a></div><div class="ttdeci">std::shared_ptr&lt; GpuFsaBackendCustomAllocatorWrapper &gt; m_CustomAllocator</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8hpp_source.html#l00303">GpuFsaBackend.hpp:303</a></div></div>
1316<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div><div class="ttdeci">@ Pooling2d</div></div>
1317<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>
1318<div class="ttc" id="anamespacearmnn_html_a67faae0ae4e9d94069de01964d3fa0a0"><div class="ttname"><a href="namespacearmnn.html#a67faae0ae4e9d94069de01964d3fa0a0">armnn::GpuFsaResizeCreateOp</a></div><div class="ttdeci">void GpuFsaResizeCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &amp;input, const ResizeDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_resize_8cpp_source.html#l00039">GpuFsaResize.cpp:39</a></div></div>
1319<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a></div><div class="ttdeci">@ BatchMatMul</div></div>
1320<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>
1321<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a></div><div class="ttdeci">@ Cast</div></div>
1322<div class="ttc" id="anamespacearmnn_html_aa2889978c1d194097838a2a0e671da60"><div class="ttname"><a href="namespacearmnn.html#aa2889978c1d194097838a2a0e671da60">armnn::GpuFsaCastCreateOp</a></div><div class="ttdeci">void GpuFsaCastCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_cast_8cpp_source.html#l00061">GpuFsaCast.cpp:61</a></div></div>
1323<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>
1324<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_backend_html_a6c6c3d137a7792e264a89cc40ea94bb0"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_backend.html#a6c6c3d137a7792e264a89cc40ea94bb0">armnn::GpuFsaBackend::GetId</a></div><div class="ttdeci">const BackendId &amp; GetId() const override</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8hpp_source.html#l00067">GpuFsaBackend.hpp:67</a></div></div>
1325<div class="ttc" id="anamespacearmnn_html_afcf2f9c617481601a888f1f9425586ba"><div class="ttname"><a href="namespacearmnn.html#afcf2f9c617481601a888f1f9425586ba">armnn::gpuFsaCapabilities</a></div><div class="ttdeci">const BackendCapabilities gpuFsaCapabilities(&quot;GpuFsa&quot;, { {&quot;NonConstWeights&quot;, false}, {&quot;AsyncExecution&quot;, false}, {&quot;ProtectedContentAllocation&quot;, false}, {&quot;ConstantTensorsAsInputs&quot;, true}, {&quot;PreImportIOTensors&quot;, false}, {&quot;ExternallyManagedMemory&quot;, false}, {&quot;MultiAxisPacking&quot;, false}, {&quot;SingleAxisPacking&quot;, false} })</div></div>
1326<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>
1327<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div><div class="ttdeci">@ Resize</div></div>
1328<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>
1329<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>
1330<div class="ttc" id="anamespacearmnn_html_ab8a797269fd9db3b8832998f10ad9688"><div class="ttname"><a href="namespacearmnn.html#ab8a797269fd9db3b8832998f10ad9688">armnn::GpuFsaConvolution2dCreateOp</a></div><div class="ttdeci">void GpuFsaConvolution2dCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &amp;input, const Convolution2dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_convolution2d_8cpp_source.html#l00070">GpuFsaConvolution2d.cpp:70</a></div></div>
1331<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>
1332<div class="ttc" id="anamespacearmnn_html_a047e95685b63fedaa1d2ebb3b9428ff5"><div class="ttname"><a href="namespacearmnn.html#a047e95685b63fedaa1d2ebb3b9428ff5">armnn::CreateOutputsFrom</a></div><div class="ttdeci">SubgraphView::OutputSlots CreateOutputsFrom(Layer *layer)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8cpp_source.html#l00052">GpuFsaBackend.cpp:52</a></div></div>
1333<div class="ttc" id="anamespacearmnn_html_a3f6dfcc7396ea476f96658ae6cb02b54"><div class="ttname"><a href="namespacearmnn.html#a3f6dfcc7396ea476f96658ae6cb02b54">armnn::CreateInputsFrom</a></div><div class="ttdeci">SubgraphView::InputSlots CreateInputsFrom(Layer *layer)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8cpp_source.html#l00042">GpuFsaBackend.cpp:42</a></div></div>
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