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<div class="textblock"><code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
<code>#include &lt;<a class="el" href="_layer_visitor_base_8hpp_source.html">armnn/LayerVisitorBase.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_backend_context_8hpp_source.html">armnn/backends/IBackendContext.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html">armnn/backends/IBackendInternal.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_memory_manager_8hpp_source.html">armnn/backends/IMemoryManager.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.html">armnn/backends/ITensorHandleFactory.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="_tensor_handle_factory_registry_8hpp_source.html">backendsCommon/TensorHandleFactoryRegistry.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="_optimization_8hpp_source.html">optimizations/Optimization.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="_network_8hpp_source.html">Network.hpp</a>&gt;</code><br />
<code>#include &lt;vector&gt;</code><br />
<code>#include &lt;string&gt;</code><br />
<code>#include &lt;boost/core/ignore_unused.hpp&gt;</code><br />
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<h2 class="memtitle"><span class="permalink"><a href="#ac85858fa4c4f1c9574f249dcc3ac0cf5">&#9670;&nbsp;</a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[1/2]</span></h2>
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<p class="definition">Definition at line <a class="el" href="_tensor_handle_strategy_test_8cpp_source.html#l00273">273</a> of file <a class="el" href="_tensor_handle_strategy_test_8cpp_source.html">TensorHandleStrategyTest.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160;{</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; TestBackendA backendA;</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; TestBackendB backendB;</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; BOOST_TEST(backendA.GetHandleFactoryPreferences()[0] == <span class="stringliteral">&quot;TestHandleFactoryA1&quot;</span>);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; BOOST_TEST(backendA.GetHandleFactoryPreferences()[1] == <span class="stringliteral">&quot;TestHandleFactoryA2&quot;</span>);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; BOOST_TEST(backendA.GetHandleFactoryPreferences()[2] == <span class="stringliteral">&quot;TestHandleFactoryB1&quot;</span>);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160;</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> registry;</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; backendA.RegisterTensorHandleFactories(registry);</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; backendB.RegisterTensorHandleFactories(registry);</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; BOOST_TEST((registry.GetFactory(<span class="stringliteral">&quot;Non-existing Backend&quot;</span>) == <span class="keyword">nullptr</span>));</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; BOOST_TEST((registry.GetFactory(<span class="stringliteral">&quot;TestHandleFactoryA1&quot;</span>) != <span class="keyword">nullptr</span>));</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; BOOST_TEST((registry.GetFactory(<span class="stringliteral">&quot;TestHandleFactoryA2&quot;</span>) != <span class="keyword">nullptr</span>));</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; BOOST_TEST((registry.GetFactory(<span class="stringliteral">&quot;TestHandleFactoryB1&quot;</span>) != <span class="keyword">nullptr</span>));</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_html"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.html">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.html#l00020">TensorHandleFactoryRegistry.hpp:20</a></div></div>
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<p class="definition">Definition at line <a class="el" href="_tensor_handle_strategy_test_8cpp_source.html#l00292">292</a> of file <a class="el" href="_tensor_handle_strategy_test_8cpp_source.html">TensorHandleStrategyTest.cpp</a>.</p>
<p class="reference">References <a class="el" href="_graph_8cpp_source.html#l00263">Graph::AddCompatibilityLayers()</a>, <a class="el" href="_graph_8hpp_source.html#l00397">Graph::AddLayer()</a>, <a class="el" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="_layer_8cpp_source.html#l00079">OutputSlot::Connect()</a>, <a class="el" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">armnn::CopyToTarget</a>, <a class="el" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">armnn::DirectCompatibility</a>, <a class="el" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189">armnn::ExportToTarget</a>, <a class="el" href="_graph_8hpp_source.html#l00039">Graph::ForEachLayer()</a>, <a class="el" href="_layer_8cpp_source.html#l00182">OutputSlot::GetEdgeStrategyForConnection()</a>, <a class="el" href="_layer_8hpp_source.html#l00310">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00312">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8cpp_source.html#l00172">OutputSlot::GetTensorHandleFactoryId()</a>, <a class="el" href="_layer_8hpp_source.html#l00259">Layer::GetType()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::MemCopy</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::MemImport</a>, <a class="el" href="_network_8cpp_source.html#l00741">armnn::SelectTensorHandleStrategy()</a>, <a class="el" href="_layer_8hpp_source.html#l00264">Layer::SetBackendId()</a>, and <a class="el" href="_graph_8hpp_source.html#l00173">Graph::TopologicalSort()</a>.</p>
<div class="fragment"><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160;{</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="keyword">auto</span> backendA = std::make_unique&lt;TestBackendA&gt;();</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <span class="keyword">auto</span> backendB = std::make_unique&lt;TestBackendB&gt;();</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; <span class="keyword">auto</span> backendC = std::make_unique&lt;TestBackendC&gt;();</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="keyword">auto</span> backendD = std::make_unique&lt;TestBackendD&gt;();</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> registry;</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; backendA-&gt;RegisterTensorHandleFactories(registry);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; backendB-&gt;RegisterTensorHandleFactories(registry);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; backendC-&gt;RegisterTensorHandleFactories(registry);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; backendD-&gt;RegisterTensorHandleFactories(registry);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160;</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; <a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a> backends;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; backends[<span class="stringliteral">&quot;BackendA&quot;</span>] = std::move(backendA);</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; backends[<span class="stringliteral">&quot;BackendB&quot;</span>] = std::move(backendB);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; backends[<span class="stringliteral">&quot;BackendC&quot;</span>] = std::move(backendC);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; backends[<span class="stringliteral">&quot;BackendD&quot;</span>] = std::move(backendD);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; <a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>* <span class="keyword">const</span> inputLayer = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a>&lt;<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>&gt;(0, <span class="stringliteral">&quot;input&quot;</span>);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; inputLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(<span class="stringliteral">&quot;BackendA&quot;</span>);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <a class="code" href="structarmnn_1_1_softmax_descriptor.html">armnn::SoftmaxDescriptor</a> smDesc;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; <a class="code" href="classarmnn_1_1_softmax_layer.html">armnn::SoftmaxLayer</a>* <span class="keyword">const</span> softmaxLayer1 = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a>&lt;<a class="code" href="classarmnn_1_1_softmax_layer.html">armnn::SoftmaxLayer</a>&gt;(smDesc, <span class="stringliteral">&quot;softmax1&quot;</span>);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; softmaxLayer1-&gt;<a class="code" href="classarmnn_1_1_layer.html#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(<span class="stringliteral">&quot;BackendA&quot;</span>);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160;</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; <a class="code" href="classarmnn_1_1_softmax_layer.html">armnn::SoftmaxLayer</a>* <span class="keyword">const</span> softmaxLayer2 = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a>&lt;<a class="code" href="classarmnn_1_1_softmax_layer.html">armnn::SoftmaxLayer</a>&gt;(smDesc, <span class="stringliteral">&quot;softmax2&quot;</span>);</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; softmaxLayer2-&gt;<a class="code" href="classarmnn_1_1_layer.html#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(<span class="stringliteral">&quot;BackendB&quot;</span>);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <a class="code" href="classarmnn_1_1_softmax_layer.html">armnn::SoftmaxLayer</a>* <span class="keyword">const</span> softmaxLayer3 = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a>&lt;<a class="code" href="classarmnn_1_1_softmax_layer.html">armnn::SoftmaxLayer</a>&gt;(smDesc, <span class="stringliteral">&quot;softmax3&quot;</span>);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; softmaxLayer3-&gt;<a class="code" href="classarmnn_1_1_layer.html#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(<span class="stringliteral">&quot;BackendC&quot;</span>);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; <a class="code" href="classarmnn_1_1_softmax_layer.html">armnn::SoftmaxLayer</a>* <span class="keyword">const</span> softmaxLayer4 = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a>&lt;<a class="code" href="classarmnn_1_1_softmax_layer.html">armnn::SoftmaxLayer</a>&gt;(smDesc, <span class="stringliteral">&quot;softmax4&quot;</span>);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; softmaxLayer4-&gt;<a class="code" href="classarmnn_1_1_layer.html#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(<span class="stringliteral">&quot;BackendD&quot;</span>);</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160;</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; <a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>* <span class="keyword">const</span> outputLayer = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a>&lt;<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>&gt;(0, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; outputLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(<span class="stringliteral">&quot;BackendA&quot;</span>);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160;</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; inputLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">Connect</a>(softmaxLayer1-&gt;<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; softmaxLayer1-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">Connect</a>(softmaxLayer2-&gt;<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; softmaxLayer2-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">Connect</a>(softmaxLayer3-&gt;<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; softmaxLayer3-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">Connect</a>(softmaxLayer4-&gt;<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; softmaxLayer4-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">Connect</a>(outputLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; graph.<a class="code" href="classarmnn_1_1_graph.html#a9a7209345edfdb2b066b0ceb66414d7c">TopologicalSort</a>();</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; std::vector&lt;std::string&gt; errors;</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <span class="keyword">auto</span> result = <a class="code" href="namespacearmnn.html#a5d3468fb5880eb444cd25b55a86220ff">SelectTensorHandleStrategy</a>(graph, backends, registry, errors);</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160;</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; BOOST_TEST(result.m_Error == <span class="keyword">false</span>);</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; BOOST_TEST(result.m_Warning == <span class="keyword">false</span>);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160;</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>&amp; inputLayerOut = inputLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>&amp; softmaxLayer1Out = softmaxLayer1-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>&amp; softmaxLayer2Out = softmaxLayer2-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>&amp; softmaxLayer3Out = softmaxLayer3-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>&amp; softmaxLayer4Out = softmaxLayer4-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160;</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; <span class="comment">// Check that the correct factory was selected</span></div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; BOOST_TEST(inputLayerOut.<a class="code" href="classarmnn_1_1_output_slot.html#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>() == <span class="stringliteral">&quot;TestHandleFactoryA1&quot;</span>);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; BOOST_TEST(softmaxLayer1Out.<a class="code" href="classarmnn_1_1_output_slot.html#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>() == <span class="stringliteral">&quot;TestHandleFactoryB1&quot;</span>);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; BOOST_TEST(softmaxLayer2Out.<a class="code" href="classarmnn_1_1_output_slot.html#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>() == <span class="stringliteral">&quot;TestHandleFactoryB1&quot;</span>);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; BOOST_TEST(softmaxLayer3Out.<a class="code" href="classarmnn_1_1_output_slot.html#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>() == <span class="stringliteral">&quot;TestHandleFactoryC1&quot;</span>);</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; BOOST_TEST(softmaxLayer4Out.<a class="code" href="classarmnn_1_1_output_slot.html#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>() == <span class="stringliteral">&quot;TestHandleFactoryD1&quot;</span>);</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; <span class="comment">// Check that the correct strategy was selected</span></div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; BOOST_TEST((inputLayerOut.<a class="code" href="classarmnn_1_1_output_slot.html#a5b481a458c19fd3807b6e04b94b9b174">GetEdgeStrategyForConnection</a>(0) == EdgeStrategy::DirectCompatibility));</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; BOOST_TEST((softmaxLayer1Out.<a class="code" href="classarmnn_1_1_output_slot.html#a5b481a458c19fd3807b6e04b94b9b174">GetEdgeStrategyForConnection</a>(0) == EdgeStrategy::DirectCompatibility));</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; BOOST_TEST((softmaxLayer2Out.<a class="code" href="classarmnn_1_1_output_slot.html#a5b481a458c19fd3807b6e04b94b9b174">GetEdgeStrategyForConnection</a>(0) == EdgeStrategy::CopyToTarget));</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; BOOST_TEST((softmaxLayer3Out.<a class="code" href="classarmnn_1_1_output_slot.html#a5b481a458c19fd3807b6e04b94b9b174">GetEdgeStrategyForConnection</a>(0) == EdgeStrategy::ExportToTarget));</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; BOOST_TEST((softmaxLayer4Out.<a class="code" href="classarmnn_1_1_output_slot.html#a5b481a458c19fd3807b6e04b94b9b174">GetEdgeStrategyForConnection</a>(0) == EdgeStrategy::DirectCompatibility));</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160;</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; graph.<a class="code" href="classarmnn_1_1_graph.html#ad1bbee7bf5f93b792675886f57d3ebe0">AddCompatibilityLayers</a>(backends, registry);</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160;</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; <span class="comment">// Test for copy layers</span></div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; <span class="keywordtype">int</span> copyCount= 0;</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; graph.<a class="code" href="classarmnn_1_1_graph.html#ad6521013ad981519904822f2ada2c4ec">ForEachLayer</a>([&amp;copyCount](<a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layer)</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; {</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; <span class="keywordflow">if</span> (layer-&gt;<a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == LayerType::MemCopy)</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; {</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; copyCount++;</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; }</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; });</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; BOOST_TEST(copyCount == 1);</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160;</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; <span class="comment">// Test for import layers</span></div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; <span class="keywordtype">int</span> importCount= 0;</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; graph.<a class="code" href="classarmnn_1_1_graph.html#ad6521013ad981519904822f2ada2c4ec">ForEachLayer</a>([&amp;importCount](<a class="code" href="classarmnn_1_1_layer.html">Layer</a> *layer)</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; {</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; <span class="keywordflow">if</span> (layer-&gt;<a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == LayerType::MemImport)</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; {</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; importCount++;</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; }</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; });</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; BOOST_TEST(importCount == 1);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_html"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.html">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.html#l00020">TensorHandleFactoryRegistry.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_layer_html"><div class="ttname"><a href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_input_layer_8hpp_source.html#l00013">InputLayer.hpp:13</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00259">Layer.hpp:259</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_html_a9a7209345edfdb2b066b0ceb66414d7c"><div class="ttname"><a href="classarmnn_1_1_graph.html#a9a7209345edfdb2b066b0ceb66414d7c">armnn::Graph::TopologicalSort</a></div><div class="ttdeci">Graph &amp; TopologicalSort()</div><div class="ttdoc">Sorts layers in topological order and return this. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00173">Graph.hpp:173</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_html"><div class="ttname"><a href="classarmnn_1_1_output_slot.html">armnn::OutputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00083">Layer.hpp:83</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00209">Layer.hpp:209</a></div></div>
<div class="ttc" id="classarmnn_1_1_softmax_layer_html"><div class="ttname"><a href="classarmnn_1_1_softmax_layer.html">armnn::SoftmaxLayer</a></div><div class="ttdoc">This layer represents a softmax operation. </div><div class="ttdef"><b>Definition:</b> <a href="_softmax_layer_8hpp_source.html#l00013">SoftmaxLayer.hpp:13</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_html_af303cf872a3f95e29992e45224e4cf8e"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#af303cf872a3f95e29992e45224e4cf8e">armnn::OutputSlot::GetTensorHandleFactoryId</a></div><div class="ttdeci">ITensorHandleFactory::FactoryId GetTensorHandleFactoryId() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00172">Layer.cpp:172</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_html_a7563c5b899e7d0ada08fd0fdb202f205"><div class="ttname"><a href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">armnn::Graph::AddLayer</a></div><div class="ttdeci">LayerT * AddLayer(Args &amp;&amp;... args)</div><div class="ttdoc">Adds a new layer, of type LayerType, to the graph constructed with the arguments passed. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00397">Graph.hpp:397</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_html_adcfb97035799ea4c043f9ef370714815"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">armnn::OutputSlot::Connect</a></div><div class="ttdeci">int Connect(InputSlot &amp;destination)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00079">Layer.cpp:79</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_html_a5b481a458c19fd3807b6e04b94b9b174"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a5b481a458c19fd3807b6e04b94b9b174">armnn::OutputSlot::GetEdgeStrategyForConnection</a></div><div class="ttdeci">EdgeStrategy GetEdgeStrategyForConnection(unsigned int connectionIdx) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00182">Layer.cpp:182</a></div></div>
<div class="ttc" id="namespacearmnn_html_a5d3468fb5880eb444cd25b55a86220ff"><div class="ttname"><a href="namespacearmnn.html#a5d3468fb5880eb444cd25b55a86220ff">armnn::SelectTensorHandleStrategy</a></div><div class="ttdeci">OptimizationResult SelectTensorHandleStrategy(Graph &amp;optGraph, BackendsMap &amp;backends, TensorHandleFactoryRegistry &amp;registry, Optional&lt; std::vector&lt; std::string &gt; &amp;&gt; errMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00741">Network.cpp:741</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_html_ad1bbee7bf5f93b792675886f57d3ebe0"><div class="ttname"><a href="classarmnn_1_1_graph.html#ad1bbee7bf5f93b792675886f57d3ebe0">armnn::Graph::AddCompatibilityLayers</a></div><div class="ttdeci">void AddCompatibilityLayers(std::map&lt; BackendId, std::unique_ptr&lt; class IBackendInternal &gt;&gt; &amp;backends, TensorHandleFactoryRegistry &amp;registry)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.html#l00263">Graph.cpp:263</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_a3f6ad59212fa8a47c9265162fff8a274"><div class="ttname"><a href="classarmnn_1_1_layer.html#a3f6ad59212fa8a47c9265162fff8a274">armnn::Layer::SetBackendId</a></div><div class="ttdeci">void SetBackendId(const BackendId &amp;id)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00264">Layer.hpp:264</a></div></div>
<div class="ttc" id="namespacearmnn_html_a9173495a61a0092b5f38b855f02c3585"><div class="ttname"><a href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">armnn::BackendsMap</a></div><div class="ttdeci">std::map&lt; BackendId, std::unique_ptr&lt; class IBackendInternal &gt; &gt; BackendsMap</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00292">Network.hpp:292</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_html_ad6521013ad981519904822f2ada2c4ec"><div class="ttname"><a href="classarmnn_1_1_graph.html#ad6521013ad981519904822f2ada2c4ec">armnn::Graph::ForEachLayer</a></div><div class="ttdeci">void ForEachLayer(Func func) const</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00039">Graph.hpp:39</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_layer_html"><div class="ttname"><a href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_output_layer_8hpp_source.html#l00013">OutputLayer.hpp:13</a></div></div>
<div class="ttc" id="structarmnn_1_1_softmax_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.html">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00123">Descriptors.hpp:123</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00029">Graph.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00312">Layer.hpp:312</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot &amp; GetInputSlot(unsigned int index) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00310">Layer.hpp:310</a></div></div>
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