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| <p><code>#include <<a class="el" href="_gpu_fsa_backend_8hpp_source.html">GpuFsaBackend.hpp</a>></code></p> |
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| Inheritance diagram for GpuFsaBackend:</div> |
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| Collaboration diagram for GpuFsaBackend:</div> |
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| Classes</h2></td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </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> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </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> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
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| Public Member Functions</h2></td></tr> |
| <tr class="memitem:a9276766329005275da8c7776a3bd4e14"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a9276766329005275da8c7776a3bd4e14">GpuFsaBackend</a> ()</td></tr> |
| <tr class="separator:a9276766329005275da8c7776a3bd4e14"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7e9e0ac5cbec2ebb0088b6c88abd276b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a7e9e0ac5cbec2ebb0088b6c88abd276b">GpuFsaBackend</a> (std::shared_ptr< <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> > allocator)</td></tr> |
| <tr class="separator:a7e9e0ac5cbec2ebb0088b6c88abd276b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad6fcacd26dd76f95a616a2ada7f931e0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#ad6fcacd26dd76f95a616a2ada7f931e0">~GpuFsaBackend</a> ()=default</td></tr> |
| <tr class="separator:ad6fcacd26dd76f95a616a2ada7f931e0"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6c6c3d137a7792e264a89cc40ea94bb0"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a6c6c3d137a7792e264a89cc40ea94bb0">GetId</a> () const override</td></tr> |
| <tr class="separator:a6c6c3d137a7792e264a89cc40ea94bb0"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a93fcb3bff141d8c77b53466a44b58eee">CreateMemoryManager</a> () const override</td></tr> |
| <tr class="separator:a93fcb3bff141d8c77b53466a44b58eee"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> </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> &memoryManager=nullptr) const override</td></tr> |
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| <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> </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> &registry) const override</td></tr> |
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| <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> </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> &tensorHandleFactoryRegistry, const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &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> |
| <tr class="separator:a5362d5d9510627da3c9d5db2e669d64a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a63559c7f206c265f5fff5ffcc8a58e3e"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a63559c7f206c265f5fff5ffcc8a58e3e">GetHandleFactoryPreferences</a> () const override</td></tr> |
| <tr class="memdesc:a63559c7f206c265f5fff5ffcc8a58e3e"><td class="mdescLeft"> </td><td class="mdescRight">(<a class="el" href="classarmnn_1_1_optional.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> |
| <tr class="separator:a63559c7f206c265f5fff5ffcc8a58e3e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a531177ce89c53c6af616175b0b05e5c0"><td class="memItemLeft" align="right" valign="top">void </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> &registry) override</td></tr> |
| <tr class="memdesc:a531177ce89c53c6af616175b0b05e5c0"><td class="mdescLeft"> </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> |
| <tr class="separator:a531177ce89c53c6af616175b0b05e5c0"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5f7312e595427f00078975f71c61dd8f"><td class="memItemLeft" align="right" valign="top">void </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> &registry, <a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> inputFlags, <a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> outputFlags) override</td></tr> |
| <tr class="memdesc:a5f7312e595427f00078975f71c61dd8f"><td class="mdescLeft"> </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> |
| <tr class="separator:a5f7312e595427f00078975f71c61dd8f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a801cf3170dc777aca3e6f926d1bd70a5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendInternal::IBackendContextPtr</a> </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> &) const override</td></tr> |
| <tr class="memdesc:a801cf3170dc777aca3e6f926d1bd70a5"><td class="mdescLeft"> </td><td class="mdescRight">Create the runtime context of the backend. <a href="classarmnn_1_1_gpu_fsa_backend.html#a801cf3170dc777aca3e6f926d1bd70a5">More...</a><br /></td></tr> |
| <tr class="separator:a801cf3170dc777aca3e6f926d1bd70a5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a68c2ef244261cc9649799284774af132"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendInternal::IBackendProfilingContextPtr</a> </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> &, <a class="el" href="classarmnn_1_1_i_backend_internal.html#a335964abd41c91f7e6ef5c65865a7b98">IBackendProfilingPtr</a> &backendProfiling) override</td></tr> |
| <tr class="memdesc:a68c2ef244261cc9649799284774af132"><td class="mdescLeft"> </td><td class="mdescRight">Create context specifically used for profiling interaction from backends. <a href="classarmnn_1_1_gpu_fsa_backend.html#a68c2ef244261cc9649799284774af132">More...</a><br /></td></tr> |
| <tr class="separator:a68c2ef244261cc9649799284774af132"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a93d4285a3ea5e4e3b35578484d889daa"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">IBackendInternal::ILayerSupportSharedPtr</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a93d4285a3ea5e4e3b35578484d889daa">GetLayerSupport</a> () const override</td></tr> |
| <tr class="separator:a93d4285a3ea5e4e3b35578484d889daa"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a339efc194a1738cd93fcdde4d948a5cd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a> </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> &subgraph, const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &modelOptions) const override</td></tr> |
| <tr class="separator:a339efc194a1738cd93fcdde4d948a5cd"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:afb75bad43612f5314622c4fa8a16e63d"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#afb75bad43612f5314622c4fa8a16e63d">GetDefaultAllocator</a> () const override</td></tr> |
| <tr class="memdesc:afb75bad43612f5314622c4fa8a16e63d"><td class="mdescLeft"> </td><td class="mdescRight">Returns the default memory allocator for the backend. <a href="classarmnn_1_1_gpu_fsa_backend.html#afb75bad43612f5314622c4fa8a16e63d">More...</a><br /></td></tr> |
| <tr class="separator:afb75bad43612f5314622c4fa8a16e63d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab9199ff425571ba62412bb903c2c933e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#aa9c506b558b8aa33a228b15164f40dc3">BackendCapabilities</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#ab9199ff425571ba62412bb903c2c933e">GetCapabilities</a> () const override</td></tr> |
| <tr class="memdesc:ab9199ff425571ba62412bb903c2c933e"><td class="mdescLeft"> </td><td class="mdescRight">Returns a BackendCapability if the backend lists the capability The BackendCapability must then be inspected to check whether or not that BackendCapability is supported Otherwise returns an <a class="el" href="structarmnn_1_1_empty_optional.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> |
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| <tr class="memitem:a729cbc38a0ee1b8349cae8ef8acf1aad"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a729cbc38a0ee1b8349cae8ef8acf1aad">UseCustomMemoryAllocator</a> (std::shared_ptr< <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> > allocator, <a class="el" href="classarmnn_1_1_optional.html">armnn::Optional</a>< std::string & >) override</td></tr> |
| <tr class="memdesc:a729cbc38a0ee1b8349cae8ef8acf1aad"><td class="mdescLeft"> </td><td class="mdescRight">Signals the backend to use a custom memory allocator provided by the user. <a href="classarmnn_1_1_gpu_fsa_backend.html#a729cbc38a0ee1b8349cae8ef8acf1aad">More...</a><br /></td></tr> |
| <tr class="separator:a729cbc38a0ee1b8349cae8ef8acf1aad"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarmnn_1_1_i_backend_internal"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_i_backend_internal')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_backend_internal.html">IBackendInternal</a></td></tr> |
| <tr class="memitem:a8c507c220869f89aec2dc370ea6c5a0b inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a8c507c220869f89aec2dc370ea6c5a0b">~IBackendInternal</a> () override=default</td></tr> |
| <tr class="memdesc:a8c507c220869f89aec2dc370ea6c5a0b inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft"> </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> |
| <tr class="separator:a8c507c220869f89aec2dc370ea6c5a0b inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> </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> &memoryManager, const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &modelOptions) const</td></tr> |
| <tr class="separator:a22973198ab5ac5624b4caa78100d2d25 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> </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> &tensorHandleFactoryRegistry, const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &modelOptions) const</td></tr> |
| <tr class="separator:aebacbea86fddc46858f6329671ccf750 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> </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> &modelOptions) const</td></tr> |
| <tr class="separator:a41f38c8c2182463dec4f03769ea54f63 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> </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> &modelOptions) const</td></tr> |
| <tr class="separator:aa654fe558005ad90f2e9a2e1f175ebce inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> </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> &subgraph) const</td></tr> |
| <tr class="separator:a674f56c735a3d6300463cefb642f808a inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af8f716b0eab6b9d63196d5a53d5fac81 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#af8f716b0eab6b9d63196d5a53d5fac81">SupportsTensorAllocatorAPI</a> () const</td></tr> |
| <tr class="separator:af8f716b0eab6b9d63196d5a53d5fac81 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a6ccbb386cc96a5336a8295a3c25d33dd">GetBackwardCompatibleFavoriteHandleFactory</a> ()</td></tr> |
| <tr class="separator:a6ccbb386cc96a5336a8295a3c25d33dd inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a87d128382876683170ffc3529aadabbf inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a87d128382876683170ffc3529aadabbf">GetNumberOfCacheFiles</a> () const</td></tr> |
| <tr class="memdesc:a87d128382876683170ffc3529aadabbf inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of files cached if backend supports caching. <a href="classarmnn_1_1_i_backend_internal.html#a87d128382876683170ffc3529aadabbf">More...</a><br /></td></tr> |
| <tr class="separator:a87d128382876683170ffc3529aadabbf inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> </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> &workingMemDescriptor) const</td></tr> |
| <tr class="memdesc:a86a4b2845b0da158907d657c7b147ab0 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft"> </td><td class="mdescRight">Returns ExecutionData for the backend. <a href="classarmnn_1_1_i_backend_internal.html#a86a4b2845b0da158907d657c7b147ab0">More...</a><br /></td></tr> |
| <tr class="separator:a86a4b2845b0da158907d657c7b147ab0 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:adf96527a67532246f07ce44266e95e79 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#adf96527a67532246f07ce44266e95e79">UpdateExecutionData</a> (<a class="el" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a> &executionData, <a class="el" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a> &workingMemDescriptor) const</td></tr> |
| <tr class="memdesc:adf96527a67532246f07ce44266e95e79 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft"> </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> |
| <tr class="separator:adf96527a67532246f07ce44266e95e79 inherit pub_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a> |
| Static Public Member Functions</h2></td></tr> |
| <tr class="memitem:a177af502214bbc8123fbb4a3c4f0a1b8"><td class="memItemLeft" align="right" valign="top">static const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">GetIdStatic</a> ()</td></tr> |
| <tr class="separator:a177af502214bbc8123fbb4a3c4f0a1b8"><td class="memSeparator" colspan="2"> </td></tr> |
| <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="-"/> Static Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_backend_internal.html">IBackendInternal</a></td></tr> |
| <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> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a878b8f50d8a2f92ed624803e9f6968ae">GetApiVersion</a> ()</td></tr> |
| <tr class="memdesc:a878b8f50d8a2f92ed624803e9f6968ae inherit pub_static_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft"> </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> |
| <tr class="separator:a878b8f50d8a2f92ed624803e9f6968ae inherit pub_static_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a> |
| Public Attributes</h2></td></tr> |
| <tr class="memitem:afe31515f8502943018e1a6244beea1a2"><td class="memItemLeft" align="right" valign="top">std::shared_ptr< <a class="el" href="classarmnn_1_1_gpu_fsa_backend_1_1_gpu_fsa_backend_custom_allocator_wrapper.html">GpuFsaBackendCustomAllocatorWrapper</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a></td></tr> |
| <tr class="separator:afe31515f8502943018e1a6244beea1a2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:adda2579a4649278c81f18a1d3915b3a0"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a> = false</td></tr> |
| <tr class="separator:adda2579a4649278c81f18a1d3915b3a0"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a> |
| Additional Inherited Members</h2></td></tr> |
| <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="-"/> Public Types inherited from <a class="el" href="classarmnn_1_1_i_backend_internal.html">IBackendInternal</a></td></tr> |
| <tr class="memitem:a72ca1cf423bda4b0a9ffb789627126de inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IWorkloadFactoryPtr</a> = std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> ></td></tr> |
| <tr class="separator:a72ca1cf423bda4b0a9ffb789627126de inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ada6d56575c0fe53cf23c7ae4610c6367 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendContextPtr</a> = std::unique_ptr< <a class="el" href="classarmnn_1_1_i_backend_context.html">IBackendContext</a> ></td></tr> |
| <tr class="separator:ada6d56575c0fe53cf23c7ae4610c6367 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae44a82b0e485e551a0f77150b1076e06 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendProfilingContextPtr</a> = std::shared_ptr< arm::pipe::IBackendProfilingContext ></td></tr> |
| <tr class="memdesc:ae44a82b0e485e551a0f77150b1076e06 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="mdescLeft"> </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> |
| <tr class="separator:ae44a82b0e485e551a0f77150b1076e06 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a335964abd41c91f7e6ef5c65865a7b98 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a335964abd41c91f7e6ef5c65865a7b98">IBackendProfilingPtr</a> = std::unique_ptr< arm::pipe::IBackendProfiling ></td></tr> |
| <tr class="separator:a335964abd41c91f7e6ef5c65865a7b98 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a11fa919c11fe46aad613b2e960fcfe90 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> = std::shared_ptr< <a class="el" href="classarmnn_1_1_i_layer_support.html">ILayerSupport</a> ></td></tr> |
| <tr class="separator:a11fa919c11fe46aad613b2e960fcfe90 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4d0238968a7643dbb170547dd22bba54 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendSpecificModelContextPtr</a> = std::shared_ptr< <a class="el" href="classarmnn_1_1_i_backend_model_context.html">IBackendModelContext</a> ></td></tr> |
| <tr class="separator:a4d0238968a7643dbb170547dd22bba54 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a12bff6d51d63dac1375c89bc8415dc46 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a12bff6d51d63dac1375c89bc8415dc46">IMemoryManagerUniquePtr</a> = std::unique_ptr< <a class="el" href="classarmnn_1_1_i_memory_manager.html">IMemoryManager</a> ></td></tr> |
| <tr class="separator:a12bff6d51d63dac1375c89bc8415dc46 inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a693b40e6b94e958836aeb0410ca186bd inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">IMemoryManagerSharedPtr</a> = std::shared_ptr< <a class="el" href="classarmnn_1_1_i_memory_manager.html">IMemoryManager</a> ></td></tr> |
| <tr class="separator:a693b40e6b94e958836aeb0410ca186bd inherit pub_types_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <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="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_backend_internal.html">IBackendInternal</a></td></tr> |
| <tr class="memitem:a675fed08e681be4343fb09ae73eb7641 inherit pro_methods_classarmnn_1_1_i_backend_internal"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a675fed08e681be4343fb09ae73eb7641">IBackendInternal</a> ()=default</td></tr> |
| <tr class="memdesc:a675fed08e681be4343fb09ae73eb7641 inherit pro_methods_classarmnn_1_1_i_backend_internal"><td class="mdescLeft"> </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> |
| <tr class="separator:a675fed08e681be4343fb09ae73eb7641 inherit pro_methods_classarmnn_1_1_i_backend_internal"><td class="memSeparator" colspan="2"> </td></tr> |
| <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="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_backend.html">IBackend</a></td></tr> |
| <tr class="memitem:a7cfc55eae265fa65b7d25e7dd3203f22 inherit pro_methods_classarmnn_1_1_i_backend"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend.html#a7cfc55eae265fa65b7d25e7dd3203f22">IBackend</a> ()</td></tr> |
| <tr class="separator:a7cfc55eae265fa65b7d25e7dd3203f22 inherit pro_methods_classarmnn_1_1_i_backend"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa73289e0503a4f7ec5909e117a57aa2b inherit pro_methods_classarmnn_1_1_i_backend"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_backend.html#aa73289e0503a4f7ec5909e117a57aa2b">~IBackend</a> ()</td></tr> |
| <tr class="separator:aa73289e0503a4f7ec5909e117a57aa2b inherit pro_methods_classarmnn_1_1_i_backend"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"> |
| <p class="definition">Definition at line <a class="el" href="_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> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="a9276766329005275da8c7776a3bd4e14"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9276766329005275da8c7776a3bd4e14">◆ </a></span>GpuFsaBackend() <span class="overload">[1/2]</span></h2> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html">GpuFsaBackend</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> : <a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a>(<span class="keyword">nullptr</span>) {};</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a7e9e0ac5cbec2ebb0088b6c88abd276b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a7e9e0ac5cbec2ebb0088b6c88abd276b">◆ </a></span>GpuFsaBackend() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_gpu_fsa_backend.html">GpuFsaBackend</a> </td> |
| <td>(</td> |
| <td class="paramtype">std::shared_ptr< <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> > </td> |
| <td class="paramname"><em>allocator</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  {</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <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> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00105">GpuFsaBackend::UseCustomMemoryAllocator()</a>.</p> |
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| </div> |
| </div> |
| <a id="ad6fcacd26dd76f95a616a2ada7f931e0"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad6fcacd26dd76f95a616a2ada7f931e0">◆ </a></span>~GpuFsaBackend()</h2> |
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| <td class="memname">~<a class="el" href="classarmnn_1_1_gpu_fsa_backend.html">GpuFsaBackend</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
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| </div><div class="memdoc"> |
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| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a801cf3170dc777aca3e6f926d1bd70a5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a801cf3170dc777aca3e6f926d1bd70a5">◆ </a></span>CreateBackendContext()</h2> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendInternal::IBackendContextPtr</a> CreateBackendContext </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">IRuntime::CreationOptions</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Create the runtime context of the backend. </p> |
| <p>Implementations may return a default-constructed IBackendContextPtr if no context is needed at runtime. Implementations must throw <a class="el" href="classarmnn_1_1_backend_unavailable_exception.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> |
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| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a07a1b3f9ac897364b5c2aacc227cbebc">IBackendInternal</a>.</p> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> {</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <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> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span> }</div> |
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| </div> |
| </div> |
| <a id="a68c2ef244261cc9649799284774af132"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a68c2ef244261cc9649799284774af132">◆ </a></span>CreateBackendProfilingContext()</h2> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendInternal::IBackendProfilingContextPtr</a> CreateBackendProfilingContext </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">IRuntime::CreationOptions</a> & </td> |
| <td class="paramname"><em>creationOptions</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a335964abd41c91f7e6ef5c65865a7b98">IBackendProfilingPtr</a> & </td> |
| <td class="paramname"><em>backendProfiling</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Create context specifically used for profiling interaction from backends. </p> |
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| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a6c5064ef6323af5c547674d01b15d7ab">IBackendInternal</a>.</p> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> {</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendProfilingContextPtr</a>{};</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span> }</div> |
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| <a id="a93fcb3bff141d8c77b53466a44b58eee"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a93fcb3bff141d8c77b53466a44b58eee">◆ </a></span>CreateMemoryManager()</h2> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a12bff6d51d63dac1375c89bc8415dc46">IBackendInternal::IMemoryManagerUniquePtr</a> CreateMemoryManager </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| </div><div class="memdoc"> |
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| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a0fe4c12c8f1f0722d2a91f61c02a687a">IBackendInternal</a>.</p> |
| |
| <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> |
| <div class="fragment"><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> {</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">return</span> std::make_unique<GpuFsaMemoryManager>(<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a>);</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  }</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">return</span> std::make_unique<GpuFsaMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span> }</div> |
| </div><!-- fragment --> |
| <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> |
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| <a id="a5362d5d9510627da3c9d5db2e669d64a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5362d5d9510627da3c9d5db2e669d64a">◆ </a></span>CreateWorkloadFactory() <span class="overload">[1/3]</span></h2> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td> |
| <td>(</td> |
| <td class="paramtype">class <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> & </td> |
| <td class="paramname"><em>tensorHandleFactoryRegistry</em>, </td> |
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| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> & </td> |
| <td class="paramname"><em>modelOptions</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> </td> |
| <td class="paramname"><em>inputFlags</em>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> </td> |
| <td class="paramname"><em>outputFlags</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
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| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a6abedf4465c7f6b634a207d228cdf284">IBackendInternal</a>.</p> |
| |
| <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> |
| <div class="fragment"><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> {</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  </div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// To allow force import if inputFlags/outputFlags are Undefined, set it as Malloc</span></div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">if</span> (inputFlags == <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  {</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  inputFlags = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">if</span> (outputFlags == <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  {</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  outputFlags = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  }</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  </div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  std::shared_ptr<GpuFsaMemoryManager> memoryManager;</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  memoryManager = std::make_shared<GpuFsaMemoryManager>(<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a>);</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  {</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  memoryManager = std::make_shared<GpuFsaMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  }</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  </div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<GpuFsaTensorHandleFactory>(memoryManager);</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  </div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  registry.RegisterMemoryManager(memoryManager);</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  registry.RegisterFactory(std::move(factory));</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  </div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">return</span> std::make_unique<GpuFsaWorkloadFactory>(PolymorphicPointerDowncast<GpuFsaMemoryManager>(memoryManager));</div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span> }</div> |
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| <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> |
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| </div> |
| </div> |
| <a id="a8e19e275c8162e34e6d8d10a9245dbc9"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a8e19e275c8162e34e6d8d10a9245dbc9">◆ </a></span>CreateWorkloadFactory() <span class="overload">[2/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> = <code>nullptr</code></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Implements <a class="el" href="classarmnn_1_1_i_backend_internal.html#afd5a5e90515b31c0174f76ec8897e9b1">IBackendInternal</a>.</p> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> {</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">return</span> std::make_unique<GpuFsaWorkloadFactory>(PolymorphicPointerDowncast<GpuFsaMemoryManager>(memoryManager));</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span> }</div> |
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| </div> |
| <a id="aa2d432e503780e146c08729323da519a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aa2d432e503780e146c08729323da519a">◆ </a></span>CreateWorkloadFactory() <span class="overload">[3/3]</span></h2> |
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| <div class="memitem"> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> CreateWorkloadFactory </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> & </td> |
| <td class="paramname"><em>registry</em></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a41c5c170ef6708c1efc683d900f624ff">IBackendInternal</a>.</p> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> {</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  std::shared_ptr<GpuFsaMemoryManager> memoryManager;</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  memoryManager = std::make_shared<GpuFsaMemoryManager>(<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a>);</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  }</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  memoryManager = std::make_shared<GpuFsaMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  </div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<GpuFsaTensorHandleFactory>(memoryManager);</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  </div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  registry.RegisterMemoryManager(memoryManager);</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  registry.RegisterFactory(std::move(factory));</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  </div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">return</span> std::make_unique<GpuFsaWorkloadFactory>(PolymorphicPointerDowncast<GpuFsaMemoryManager>(memoryManager));</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span> }</div> |
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| <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> |
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| <a id="ab9199ff425571ba62412bb903c2c933e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab9199ff425571ba62412bb903c2c933e">◆ </a></span>GetCapabilities()</h2> |
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| <td class="memname"><a class="el" href="namespacearmnn.html#aa9c506b558b8aa33a228b15164f40dc3">BackendCapabilities</a> GetCapabilities </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
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| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <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> |
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| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a057f6c5c3ab3248050ed548273c4beb9">IBackendInternal</a>.</p> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#afcf2f9c617481601a888f1f9425586ba">gpuFsaCapabilities</a>;</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  };</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#afcf2f9c617481601a888f1f9425586ba">armnn::gpuFsaCapabilities</a>.</p> |
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| </div> |
| </div> |
| <a id="afb75bad43612f5314622c4fa8a16e63d"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#afb75bad43612f5314622c4fa8a16e63d">◆ </a></span>GetDefaultAllocator()</h2> |
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| <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> > GetDefaultAllocator </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
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| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Returns the default memory allocator for the backend. </p> |
| <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> |
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| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a563472222884844adc3183c433f38e54">IBackendInternal</a>.</p> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> {</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">return</span> std::make_unique<GpuFsaBackendDefaultAllocator>();</div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span> }</div> |
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| <a id="a63559c7f206c265f5fff5ffcc8a58e3e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a63559c7f206c265f5fff5ffcc8a58e3e">◆ </a></span>GetHandleFactoryPreferences()</h2> |
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| <td class="memname">std::vector< <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> > GetHandleFactoryPreferences </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
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| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>(<a class="el" href="classarmnn_1_1_optional.html">Optional</a>) Returns a vector of supported TensorHandleFactory ids in preference order. </p> |
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| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#ac5d107c5672f446603b6e6b92bce6244">IBackendInternal</a>.</p> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> {</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">return</span> std::vector<ITensorHandleFactory::FactoryId> { <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">GpuFsaTensorHandleFactory::GetIdStatic</a>() };</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span> }</div> |
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| <p class="reference">References <a class="el" href="_gpu_fsa_tensor_handle_factory_8cpp_source.html#l00086">GpuFsaTensorHandleFactory::GetIdStatic()</a>.</p> |
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| </div> |
| <a id="a6c6c3d137a7792e264a89cc40ea94bb0"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6c6c3d137a7792e264a89cc40ea94bb0">◆ </a></span>GetId()</h2> |
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| <td class="memname">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a>& GetId </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Implements <a class="el" href="classarmnn_1_1_i_backend.html#aa9fc23b7155bd678232eeb351059b748">IBackend</a>.</p> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> { <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">GetIdStatic</a>(); }</div> |
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| <p class="reference">References <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00069">GpuFsaBackend::GetIdStatic()</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_gpu_fsa_backend_8cpp_source.html#l00220">GpuFsaBackend::OptimizeSubgraphView()</a>.</p> |
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| </div> |
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| <a id="a177af502214bbc8123fbb4a3c4f0a1b8"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a177af502214bbc8123fbb4a3c4f0a1b8">◆ </a></span>GetIdStatic()</h2> |
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| <td class="memname">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> & GetIdStatic </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> {</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">static</span> <span class="keyword">const</span> BackendId s_Id{<a class="code" href="namespacearmnn.html#ab912656f08118f8b81f8261b5e0dc3a9">GpuFsaBackendId</a>()};</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">return</span> s_Id;</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span> }</div> |
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| <p class="reference">References <a class="el" href="_gpu_fsa_backend_id_8hpp_source.html#l00010">armnn::GpuFsaBackendId()</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00067">GpuFsaBackend::GetId()</a>.</p> |
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| <a id="a93d4285a3ea5e4e3b35578484d889daa"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a93d4285a3ea5e4e3b35578484d889daa">◆ </a></span>GetLayerSupport()</h2> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">IBackendInternal::ILayerSupportSharedPtr</a> GetLayerSupport </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
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| <p>Implements <a class="el" href="classarmnn_1_1_i_backend_internal.html#ad86597efa7c25997572c80dc29f3104a">IBackendInternal</a>.</p> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> {</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport{<span class="keyword">new</span> GpuFsaLayerSupport};</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">return</span> layerSupport;</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span> }</div> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a339efc194a1738cd93fcdde4d948a5cd">◆ </a></span>OptimizeSubgraphView()</h2> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a> OptimizeSubgraphView </td> |
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| <td class="paramtype">const <a class="el" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a> & </td> |
| <td class="paramname"><em>subgraph</em>, </td> |
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| <td class="paramtype">const <a class="el" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> & </td> |
| <td class="paramname"><em>modelOptions</em> </td> |
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| <td>)</td> |
| <td></td><td> const</td> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a3623ac8294bf071d68eb7d71383e9a83">IBackendInternal</a>.</p> |
| |
| <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> |
| <div class="fragment"><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> {</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  OptimizationViews optimizationViews(modelOptions);</div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  </div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keyword">using namespace </span>arm_compute::experimental::dynamic_fusion;</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  </div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">auto</span> it = subgraph.end();</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  std::map<LayerGuid, Layer*> untouched;</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">while</span> (it != subgraph.begin())</div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  {</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  --it;</div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  Layer& base = *(PolymorphicDowncast<Layer*>(*it));</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  untouched.insert({base.GetGuid(), &base});</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  }</div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  </div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  GpuFsaLayerSupport supportChecker;</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  it = subgraph.end();</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  arm_compute::CLCompileContext* compileCtx = &(arm_compute::CLKernelLibrary::get().get_compile_context());</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  </div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="comment">// Setup the GpuWokloadContext which will exist for the lifetime of the Graph. This contains the TensorInfos</span></div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  std::shared_ptr<GpuWorkloadContext> workloadContext = std::make_shared<GpuWorkloadContext>(compileCtx);</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">while</span> (it != subgraph.begin())</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  {</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  --it;</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  Layer& base = *(PolymorphicDowncast<Layer*>(*it));</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="comment">// Create a GpuFsaPreCompiledBlob, this contains all of the information needed to execute an operator</span></div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  GpuFsaPreCompiledBlob* preCompiledBlobPtr = <span class="keyword">new</span> GpuFsaPreCompiledBlob();</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  preCompiledBlobPtr->workloadContext = workloadContext;</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  preCompiledBlobPtr->sketch = std::make_unique<GpuWorkloadSketch>(workloadContext.get());</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  </div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="comment">// Configure and setup the sketch for each supported op. Their data will be wrapped into a PreCompiled layer</span></div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">switch</span> (base.GetType())</div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  {</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>):</div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  {</div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const ActivationDescriptor*>(&base.GetParameters());</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="namespacearmnn.html#a40f8d250a71183a6cd1b700b287fc32c">GpuFsaActivationCreateOp</a>(preCompiledBlobPtr, input, *desc);</div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  }</div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">LayerType::Cast</a>):</div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  {</div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">auto</span> output = base.GetOutputSlot(0).GetTensorInfo();</div> |
| <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <a class="code" href="namespacearmnn.html#aa2889978c1d194097838a2a0e671da60">GpuFsaCastCreateOp</a>(preCompiledBlobPtr, input, output);</div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  }</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>):</div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  {</div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">auto</span> weights = base.GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  </div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const Convolution2dDescriptor*>(&base.GetParameters());</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">if</span> (desc->m_BiasEnabled)</div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  {</div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keyword">auto</span> bias = base.GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="namespacearmnn.html#ab8a797269fd9db3b8832998f10ad9688">GpuFsaConvolution2dCreateOp</a>(preCompiledBlobPtr,</div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  input,</div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  *desc,</div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  weights,</div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  bias);</div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  }</div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  {</div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <a class="code" href="namespacearmnn.html#ab8a797269fd9db3b8832998f10ad9688">GpuFsaConvolution2dCreateOp</a>(preCompiledBlobPtr,</div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  input,</div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  *desc,</div> |
| <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  weights,</div> |
| <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  EmptyOptional());</div> |
| <div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  }</div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">LayerType::BatchMatMul</a>):</div> |
| <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  {</div> |
| <div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keyword">auto</span> input0 = base.GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keyword">auto</span> input1 = base.GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const BatchMatMulDescriptor*>(&base.GetParameters());</div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="namespacearmnn.html#a1334119d4ee3de23f273ee91aa256cbd">GpuFsaBatchMatMulCreateOp</a>(preCompiledBlobPtr, input0, input1, *desc);</div> |
| <div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  }</div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>):</div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  {</div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">auto</span> weights = base.GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  </div> |
| <div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const DepthwiseConvolution2dDescriptor*>(&base.GetParameters());</div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">if</span> (desc->m_BiasEnabled)</div> |
| <div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  {</div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keyword">auto</span> bias = base.GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <a class="code" href="namespacearmnn.html#a5bdf4240a1fbda27b5fc84baba721781">GpuFsaDepthwiseConvolution2dCreateOp</a>(preCompiledBlobPtr,</div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  input,</div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  *desc,</div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  weights,</div> |
| <div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  bias);</div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  }</div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  {</div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="namespacearmnn.html#a5bdf4240a1fbda27b5fc84baba721781">GpuFsaDepthwiseConvolution2dCreateOp</a>(preCompiledBlobPtr,</div> |
| <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  input,</div> |
| <div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  *desc,</div> |
| <div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  weights,</div> |
| <div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  EmptyOptional());</div> |
| <div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  }</div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  }</div> |
| <div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>:</div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  {</div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const ElementwiseBinaryDescriptor *>(&base.GetParameters());</div> |
| <div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">auto</span> input0 = base.GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">auto</span> input1 = base.GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <a class="code" href="namespacearmnn.html#ab9fda8f44398cd4c531c9ac136f2a1bf">GpuFsaElementwiseBinaryCreateOp</a>(preCompiledBlobPtr, input0, input1, *desc);</div> |
| <div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  }</div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>):</div> |
| <div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div> |
| <div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const Pooling2dDescriptor*>(&base.GetParameters());</div> |
| <div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <a class="code" href="namespacearmnn.html#abcce06cfe2568f392b05010579e83ae0">GpuFsaPooling2dCreateOp</a>(preCompiledBlobPtr, input, *desc);</div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  }</div> |
| <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>:</div> |
| <div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  {</div> |
| <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const ReshapeDescriptor*>(&base.GetParameters());</div> |
| <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="namespacearmnn.html#a4cc1900a15abbcc19a632e99c7c2120f">GpuFsaReshapeCreateOp</a>(preCompiledBlobPtr, input, *desc);</div> |
| <div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  </div> |
| <div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  }</div> |
| <div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a>):</div> |
| <div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  {</div> |
| <div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const ResizeDescriptor*>(&base.GetParameters());</div> |
| <div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <a class="code" href="namespacearmnn.html#a67faae0ae4e9d94069de01964d3fa0a0">GpuFsaResizeCreateOp</a>(preCompiledBlobPtr, input, *desc);</div> |
| <div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div> |
| <div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">case</span> (<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a>):</div> |
| <div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div> |
| <div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">auto</span> input = base.GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo();</div> |
| <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keyword">auto</span> output = base.GetOutputSlot(0).GetTensorInfo();</div> |
| <div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  </div> |
| <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const SoftmaxDescriptor*>(&base.GetParameters());</div> |
| <div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <a class="code" href="namespacearmnn.html#af347e46317f7427d35f87c6fae065bcb">GpuFsaSoftmaxCreateOp</a>(preCompiledBlobPtr,</div> |
| <div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  input,</div> |
| <div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  output,</div> |
| <div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  *desc);</div> |
| <div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  }</div> |
| <div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="comment">// unsupported layer for GpuFsa backend</span></div> |
| <div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">continue</span>;</div> |
| <div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  }</div> |
| <div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  </div> |
| <div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keyword">auto</span> compiledBlob =</div> |
| <div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  std::make_unique<PreCompiledObjectPtr>(preCompiledBlobPtr, DeleteAsType<GpuFsaPreCompiledBlob>);</div> |
| <div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  </div> |
| <div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  IConnectableLayer* preCompiledLayer = optimizationViews.GetINetwork()->AddPrecompiledLayer(</div> |
| <div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  PreCompiledDescriptor(base.GetNumInputSlots(), base.GetNumOutputSlots()),</div> |
| <div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  std::move(*compiledBlob),</div> |
| <div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional<BackendId></a>(<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#a6c6c3d137a7792e264a89cc40ea94bb0">GetId</a>()),</div> |
| <div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="stringliteral">"GpuFsa_Pre_Compiled_Layer"</span>);</div> |
| <div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  </div> |
| <div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="comment">// Copy the output tensor infos from sub-graph</span></div> |
| <div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < subgraph.GetNumOutputSlots(); i++)</div> |
| <div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  {</div> |
| <div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  preCompiledLayer->GetOutputSlot(i).SetTensorInfo(base.GetOutputSlot(i).GetTensorInfo());</div> |
| <div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  }</div> |
| <div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  </div> |
| <div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html#ad5fc1b5213dcb72c0d4ac9dfb46ef677">SubgraphView::SubgraphViewPtr</a> substituteSubgraph =</div> |
| <div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <a class="code" href="namespacearmnn.html#a5ce134e586578a4c448a128f95b4d7af">CreateSubgraphViewFrom</a>(<a class="code" href="namespacearmnn.html#a3f6dfcc7396ea476f96658ae6cb02b54">CreateInputsFrom</a>(&base),</div> |
| <div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <a class="code" href="namespacearmnn.html#a047e95685b63fedaa1d2ebb3b9428ff5">CreateOutputsFrom</a>(&base),</div> |
| <div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  {&base});</div> |
| <div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  </div> |
| <div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  optimizationViews.AddSubstitution({ std::move(*substituteSubgraph), SubgraphView(preCompiledLayer) });</div> |
| <div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  </div> |
| <div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  untouched.erase(base.GetGuid());</div> |
| <div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  }</div> |
| <div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  </div> |
| <div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">if</span> (optimizationViews.GetSubstitutions().empty())</div> |
| <div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  {</div> |
| <div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  optimizationViews.AddUntouchedSubgraph(SubgraphView(subgraph));</div> |
| <div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  }</div> |
| <div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  {</div> |
| <div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <a class="code" href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7">ReportUntouchedLayers</a>(optimizationViews, untouched);</div> |
| <div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  }</div> |
| <div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  </div> |
| <div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  </div> |
| <div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">return</span> optimizationViews;</div> |
| <div class="line"><a name="l00409"></a><span class="lineno"> 409</span> }</div> |
| </div><!-- fragment --> |
| <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> |
| |
| </div> |
| </div> |
| <a id="a531177ce89c53c6af616175b0b05e5c0"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a531177ce89c53c6af616175b0b05e5c0">◆ </a></span>RegisterTensorHandleFactories() <span class="overload">[1/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void RegisterTensorHandleFactories </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>(<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> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a517bc1a44d6d2d7a45c1847fba287135">IBackendInternal</a>.</p> |
| |
| <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> |
| <div class="fragment"><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> {</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  std::shared_ptr<GpuFsaMemoryManager> memoryManager;</div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  memoryManager = std::make_shared<GpuFsaMemoryManager>(<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a>);</div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  }</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  {</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  memoryManager = std::make_shared<GpuFsaMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  </div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<GpuFsaTensorHandleFactory>(memoryManager);</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  registry.RegisterMemoryManager(memoryManager);</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  registry.RegisterFactory(std::move(factory));</div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  </div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span> }</div> |
| </div><!-- fragment --> |
| <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> |
| |
| </div> |
| </div> |
| <a id="a5f7312e595427f00078975f71c61dd8f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5f7312e595427f00078975f71c61dd8f">◆ </a></span>RegisterTensorHandleFactories() <span class="overload">[2/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void RegisterTensorHandleFactories </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> & </td> |
| <td class="paramname"><em>registry</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> </td> |
| <td class="paramname"><em>inputFlags</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> </td> |
| <td class="paramname"><em>outputFlags</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a36b46ce669164b5188cb21796557d897">IBackendInternal</a>.</p> |
| |
| <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> |
| <div class="fragment"><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> {</div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="comment">// To allow force import if inputFlags/outputFlags are Undefined, set it as Malloc</span></div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">if</span> (inputFlags == <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  {</div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  inputFlags = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">if</span> (outputFlags == <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  {</div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  outputFlags = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  }</div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  </div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  std::shared_ptr<GpuFsaMemoryManager> memoryManager;</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  {</div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  memoryManager = std::make_shared<GpuFsaMemoryManager>(<a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a>);</div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  }</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  {</div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  memoryManager = std::make_shared<GpuFsaMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  }</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  </div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<GpuFsaTensorHandleFactory>(memoryManager);</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  registry.RegisterMemoryManager(memoryManager);</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  registry.RegisterFactory(std::move(factory));</div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span> }</div> |
| </div><!-- fragment --> |
| <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> |
| |
| </div> |
| </div> |
| <a id="a729cbc38a0ee1b8349cae8ef8acf1aad"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a729cbc38a0ee1b8349cae8ef8acf1aad">◆ </a></span>UseCustomMemoryAllocator()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
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| <td class="memname">virtual bool UseCustomMemoryAllocator </td> |
| <td>(</td> |
| <td class="paramtype">std::shared_ptr< <a class="el" href="classarmnn_1_1_i_custom_allocator.html">ICustomAllocator</a> > </td> |
| <td class="paramname"><em>allocator</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">armnn::Optional</a>< std::string & > </td> |
| <td class="paramname"><em>errMsg</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| </table> |
| </div><div class="memdoc"> |
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| <p>Signals the backend to use a custom memory allocator provided by the user. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>- Returns true if switching to custom allocator was successful </dd></dl> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a8a8eb1a5eb458445a2e5a7c7cd4424cb">IBackendInternal</a>.</p> |
| |
| <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> |
| <div class="fragment"><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Using Custom Allocator for GpuFsaBackend"</span>;</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  </div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// Set flag to signal the backend to use a custom memory allocator</span></div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#afe31515f8502943018e1a6244beea1a2">m_CustomAllocator</a> = std::make_shared<GpuFsaBackendCustomAllocatorWrapper>(std::move(allocator));</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a> = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_gpu_fsa_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>;</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  }</div> |
| </div><!-- fragment --> |
| <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> |
| |
| <p class="reference">Referenced by <a class="el" href="_gpu_fsa_backend_8hpp_source.html#l00060">GpuFsaBackend::GpuFsaBackend()</a>.</p> |
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| </div> |
| </div> |
| <h2 class="groupheader">Member Data Documentation</h2> |
| <a id="afe31515f8502943018e1a6244beea1a2"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#afe31515f8502943018e1a6244beea1a2">◆ </a></span>m_CustomAllocator</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::shared_ptr<<a class="el" href="classarmnn_1_1_gpu_fsa_backend_1_1_gpu_fsa_backend_custom_allocator_wrapper.html">GpuFsaBackendCustomAllocatorWrapper</a>> m_CustomAllocator</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| |
| <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> |
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| </div> |
| </div> |
| <a id="adda2579a4649278c81f18a1d3915b3a0"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#adda2579a4649278c81f18a1d3915b3a0">◆ </a></span>m_UsingCustomAllocator</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">bool m_UsingCustomAllocator = false</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| |
| <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> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>src/backends/gpuFsa/<a class="el" href="_gpu_fsa_backend_8hpp_source.html">GpuFsaBackend.hpp</a></li> |
| <li>src/backends/gpuFsa/<a class="el" href="_gpu_fsa_backend_8cpp_source.html">GpuFsaBackend.cpp</a></li> |
| </ul> |
| </div><!-- contents --> |
| </div><!-- doc-content --> |
| <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> |
| <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 &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_softmax_8cpp_source.html#l00063">GpuFsaSoftmax.cpp:63</a></div></div> |
| <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 &input0, const TensorInfo &input1, const ElementwiseBinaryDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_elementwise_binary_8cpp_source.html#l00063">GpuFsaElementwiseBinary.cpp:63</a></div></div> |
| <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> |
| <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 &input, const Pooling2dDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_pooling2d_8cpp_source.html#l00040">GpuFsaPooling2d.cpp:40</a></div></div> |
| <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 & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8cpp_source.html#l00069">GpuFsaBackend.cpp:69</a></div></div> |
| <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 &input0, const TensorInfo &input1, const BatchMatMulDescriptor &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> |
| <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> |
| <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 & 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> |
| <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 &input, const ActivationDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_activation_8cpp_source.html#l00058">GpuFsaActivation.cpp:58</a></div></div> |
| <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> |
| <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> |
| <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< IBackendContext > IBackendContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00090">IBackendInternal.hpp:90</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::LayerType::ElementwiseBinary</a></div><div class="ttdeci">@ ElementwiseBinary</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a4cc1900a15abbcc19a632e99c7c2120f"><div class="ttname"><a href="namespacearmnn.html#a4cc1900a15abbcc19a632e99c7c2120f">armnn::GpuFsaReshapeCreateOp</a></div><div class="ttdeci">void GpuFsaReshapeCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &input, const ReshapeDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_reshape_8cpp_source.html#l00049">GpuFsaReshape.cpp:49</a></div></div> |
| <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> |
| <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> |
| <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> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div> |
| <div class="ttc" id="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< SubgraphView > SubgraphViewPtr</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.html#l00056">SubgraphView.hpp:56</a></div></div> |
| <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 &input, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_depthwise_convolution2d_8cpp_source.html#l00089">GpuFsaDepthwiseConvolution2d.cpp:89</a></div></div> |
| <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< ICustomAllocator > allocator, armnn::Optional< std::string & >) 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> |
| <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 &&inputs, SubgraphView::OutputSlots &&outputs, SubgraphView::Layers &&layers)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8cpp_source.html#l00062">GpuFsaBackend.cpp:62</a></div></div> |
| <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< GpuFsaBackendCustomAllocatorWrapper > m_CustomAllocator</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8hpp_source.html#l00303">GpuFsaBackend.hpp:303</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div><div class="ttdeci">@ Pooling2d</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_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< arm::pipe::IBackendProfilingContext > IBackendProfilingContextPtr</div><div class="ttdoc">This is the bridge between backend and backend profiling we'll keep it in the backend namespace.</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00092">IBackendInternal.hpp:92</a></div></div> |
| <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 &input, const ResizeDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_resize_8cpp_source.html#l00039">GpuFsaResize.cpp:39</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a></div><div class="ttdeci">@ BatchMatMul</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a></div><div class="ttdeci">@ Cast</div></div> |
| <div class="ttc" id="anamespacearmnn_html_aa2889978c1d194097838a2a0e671da60"><div class="ttname"><a href="namespacearmnn.html#aa2889978c1d194097838a2a0e671da60">armnn::GpuFsaCastCreateOp</a></div><div class="ttdeci">void GpuFsaCastCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_cast_8cpp_source.html#l00061">GpuFsaCast.cpp:61</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div><div class="ttdeci">@ Reshape</div></div> |
| <div class="ttc" id="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 & 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> |
| <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("GpuFsa", { {"NonConstWeights", false}, {"AsyncExecution", false}, {"ProtectedContentAllocation", false}, {"ConstantTensorsAsInputs", true}, {"PreImportIOTensors", false}, {"ExternallyManagedMemory", false}, {"MultiAxisPacking", false}, {"SingleAxisPacking", false} })</div></div> |
| <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< ILayerSupport > ILayerSupportSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00094">IBackendInternal.hpp:94</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div><div class="ttdeci">@ Resize</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a5afd10e5e84ebf5cb8cfc8707492eda7"><div class="ttname"><a href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7">armnn::ReportUntouchedLayers</a></div><div class="ttdeci">void ReportUntouchedLayers(OptimizationViews &optimizationViews, std::map< LayerGuid, Layer * > untouched)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00220">SubgraphUtils.hpp:220</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ab8a797269fd9db3b8832998f10ad9688"><div class="ttname"><a href="namespacearmnn.html#ab8a797269fd9db3b8832998f10ad9688">armnn::GpuFsaConvolution2dCreateOp</a></div><div class="ttdeci">void GpuFsaConvolution2dCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &input, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_convolution2d_8cpp_source.html#l00070">GpuFsaConvolution2d.cpp:70</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div> |
| <div class="ttc" id="anamespacearmnn_html_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> |
| <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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