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<div class="textblock"><code>#include "<a class="el" href="_cl_workload_factory_helper_8hpp_source.xhtml">ClWorkloadFactoryHelper.hpp</a>"</code><br />
<code>#include <<a class="el" href="_network_8hpp_source.xhtml">Network.hpp</a>></code><br />
<code>#include <<a class="el" href="_graph_utils_8hpp_source.xhtml">test/GraphUtils.hpp</a>></code><br />
<code>#include <<a class="el" href="_cl_workload_factory_8hpp_source.xhtml">cl/ClWorkloadFactory.hpp</a>></code><br />
<code>#include <<a class="el" href="_cl_backend_context_8hpp_source.xhtml">cl/ClBackendContext.hpp</a>></code><br />
<code>#include <<a class="el" href="_filesystem_8hpp_source.xhtml">Filesystem.hpp</a>></code><br />
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<h2 class="memtitle"><span class="permalink"><a href="#a7b202b7840e9275a418d40a7d0f5e3b1">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[1/4]</span></h2>
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<p class="definition">Definition at line <a class="el" href="_cl_optimized_network_tests_8cpp_source.xhtml#l00022">22</a> of file <a class="el" href="_cl_optimized_network_tests_8cpp_source.xhtml">ClOptimizedNetworkTests.cpp</a>.</p>
<p class="reference">References <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">IOutputSlot::Connect()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00037">IRuntime::Create()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00510">INetwork::Create()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_test_utils_8cpp_source.xhtml#l00025">armnn::GetGraphForTesting()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_network_8cpp_source.xhtml#l01502">armnn::Optimize()</a>, and <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>.</p>
<div class="fragment"><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> {</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="comment">// build up the structure of the network</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> net(<a class="code" href="classarmnn_1_1_i_network.xhtml#a464f0ff87b1aabf71febaa71321dd40b">armnn::INetwork::Create</a>());</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* input = net->AddInputLayer(0);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* output = net->AddOutputLayer(0);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  input-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(output-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  input-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>({ 1, 1, 4, 4 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> options;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <a class="code" href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a> runtime(<a class="code" href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(options));</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  std::vector<armnn::BackendId> backends = { <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a> };</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a> optNet = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a>(*net, backends, runtime->GetDeviceSpec());</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  BOOST_CHECK(optNet);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="comment">// validate workloads</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="classarmnn_1_1_cl_workload_factory.xhtml">armnn::ClWorkloadFactory</a> fact =</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager());</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_graph.xhtml">armnn::Graph</a>& theGraph = <a class="code" href="namespacearmnn.xhtml#a6a2659750d6161b693d0e51616791959">GetGraphForTesting</a>(optNet.get());</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : theGraph)</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  BOOST_CHECK(layer->GetBackendId() == <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a>);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  BOOST_CHECK_NO_THROW(</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  layer->CreateWorkload(fact));</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  }</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> }</div><div class="ttc" id="classarmnn_1_1_cl_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_cl_workload_factory.xhtml">armnn::ClWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_factory_8hpp_source.xhtml#l00021">ClWorkloadFactory.hpp:21</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_ad44ecd3700748dc30dc4bbe34ba5bde7"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a></div><div class="ttdeci">static IRuntimePtr Create(const CreationOptions &options)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00037">Runtime.cpp:37</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00062">INetwork.hpp:62</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a150468a02bd7b2d2d061c4aaaee939f0"><div class="ttname"><a href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a></div><div class="ttdeci">std::unique_ptr< IRuntime, void(*)(IRuntime *runtime)> IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00026">IRuntime.hpp:26</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a5ee4a6c9a2481245487b1b1a70d20fd0"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">armnn::IOutputSlot::SetTensorInfo</a></div><div class="ttdeci">virtual void SetTensorInfo(const TensorInfo &tensorInfo)=0</div></div>
<div class="ttc" id="namespacearmnn_xhtml_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptions &options=OptimizerOptions(), Optional< std::vector< std::string > &> messages=EmptyOptional())</div><div class="ttdoc">Create an optimized version of the network. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01502">Network.cpp:1502</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a></div><div class="ttdeci">std::unique_ptr< IOptimizedNetwork, void(*)(IOptimizedNetwork *network)> IOptimizedNetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00174">INetwork.hpp:174</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a></div><div class="ttdoc">GPU Execution: OpenCL: ArmCompute. </div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00043">IRuntime.hpp:43</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a6a2659750d6161b693d0e51616791959"><div class="ttname"><a href="namespacearmnn.xhtml#a6a2659750d6161b693d0e51616791959">armnn::GetGraphForTesting</a></div><div class="ttdeci">Graph & GetGraphForTesting(IOptimizedNetwork *optNet)</div><div class="ttdef"><b>Definition:</b> <a href="_test_utils_8cpp_source.xhtml#l00025">TestUtils.cpp:25</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">armnn::IConnectableLayer::GetInputSlot</a></div><div class="ttdeci">virtual const IInputSlot & GetInputSlot(unsigned int index) const =0</div><div class="ttdoc">Get a const input slot handle by slot index. </div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">armnn::IConnectableLayer::GetOutputSlot</a></div><div class="ttdeci">virtual const IOutputSlot & GetOutputSlot(unsigned int index) const =0</div><div class="ttdoc">Get the const output slot handle by slot index. </div></div>
<div class="ttc" id="namespacearmnn_xhtml_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr< INetwork, void(*)(INetwork *network)> INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00173">INetwork.hpp:173</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &destination)=0</div></div>
<div class="ttc" id="classarmnn_1_1_i_network_xhtml_a464f0ff87b1aabf71febaa71321dd40b"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a464f0ff87b1aabf71febaa71321dd40b">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create(NetworkOptions networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00510">Network.cpp:510</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a04ac30f1bc321aad1c1ec487bc520e10">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[2/4]</span></h2>
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<td class="memname">BOOST_AUTO_TEST_CASE </td>
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<td class="paramtype">FP16TurboModeTestOnGpuAcc </td>
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<p class="definition">Definition at line <a class="el" href="_cl_optimized_network_tests_8cpp_source.xhtml#l00052">52</a> of file <a class="el" href="_cl_optimized_network_tests_8cpp_source.xhtml">ClOptimizedNetworkTests.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00037">IRuntime::Create()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00510">INetwork::Create()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_test_utils_8cpp_source.xhtml#l00025">armnn::GetGraphForTesting()</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00010">GraphHasNamedLayer()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, <a class="el" href="_i_network_8hpp_source.xhtml#l00153">OptimizerOptions::m_ReduceFp32ToFp16</a>, and <a class="el" href="_network_8cpp_source.xhtml#l01502">armnn::Optimize()</a>.</p>
<div class="fragment"><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="comment">// Test to check when Fp16 Turbo mode set</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// it converts the Fp32 network to Fp16 Network</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">// add Fp32ToFp16 conversion layer after the InputLayer</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// add Fp16ToFp32 conversion layer after the OutputLayer</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// checks the other layers if they are supported in Fp16</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// if they are not put the conversion layers before and after</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// if they are not supported in Fp16 use Fp32 instead</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// if there are inverse conversion layers remove them with optimization</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// at the moment FloorLayer is not supported in Fp16 so it rolls back to Fp32</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// and inverse conversion layers are removed by the optimizer</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> net(<a class="code" href="classarmnn_1_1_i_network.xhtml#a464f0ff87b1aabf71febaa71321dd40b">armnn::INetwork::Create</a>());</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// Defines layers.</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">auto</span> input = net->AddInputLayer(0, <span class="stringliteral">"input layer"</span>);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// ReLu1</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a> activation1Descriptor;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  activation1Descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  activation1Descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.f;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  activation1Descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.f;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">auto</span> activation = net->AddActivationLayer(activation1Descriptor, <span class="stringliteral">"activation layer"</span>);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">auto</span> output = net->AddOutputLayer(0, <span class="stringliteral">"output layer"</span>);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">// Connects layers.</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  input->GetOutputSlot(0).Connect(activation->GetInputSlot(0));</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  activation->GetOutputSlot(0).Connect(output->GetInputSlot(0));</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape({4});</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>(shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  input->GetOutputSlot(0).SetTensorInfo(info);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  activation->GetOutputSlot(0).SetTensorInfo(info);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> options;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a> runtime(<a class="code" href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(options));</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  std::vector<armnn::BackendId> backends = {<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a>};</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="structarmnn_1_1_optimizer_options.xhtml">armnn::OptimizerOptions</a> optimizerOptions;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  optimizerOptions.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a6e1a42622ca43dafc7ba8e684c016eb4">m_ReduceFp32ToFp16</a> = <span class="keyword">true</span>;</div><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>  <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a> optimizedNet = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a>(</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  *net, backends, runtime->GetDeviceSpec(), optimizerOptions);</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>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_graph.xhtml">armnn::Graph</a>& graph = <a class="code" href="namespacearmnn.xhtml#a6a2659750d6161b693d0e51616791959">GetGraphForTesting</a>(optimizedNet.get());</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="comment">// Tests that all layers are present in the graph.</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  BOOST_TEST(graph.GetNumLayers() == 5);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// Tests that the vertices exist and have correct names.</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(graph, <span class="stringliteral">"input layer"</span>));</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(graph, <span class="stringliteral">"convert_fp32_to_fp16-0-input layer"</span>));</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(graph, <span class="stringliteral">"activation layer"</span>));</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(graph, <span class="stringliteral">"convert_fp16_to_fp32-0-output layer"</span>));</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(graph, <span class="stringliteral">"output layer"</span>));</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> }</div><div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_ad44ecd3700748dc30dc4bbe34ba5bde7"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a></div><div class="ttdeci">static IRuntimePtr Create(const CreationOptions &options)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00037">Runtime.cpp:37</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a150468a02bd7b2d2d061c4aaaee939f0"><div class="ttname"><a href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a></div><div class="ttdeci">std::unique_ptr< IRuntime, void(*)(IRuntime *runtime)> IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00026">IRuntime.hpp:26</a></div></div>
<div class="ttc" id="_graph_utils_8cpp_xhtml_ac73a43305233b7e5f70debdb2d14a8d3"><div class="ttname"><a href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a></div><div class="ttdeci">bool GraphHasNamedLayer(const armnn::Graph &graph, const std::string &name)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00010">GraphUtils.cpp:10</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml_a6e1a42622ca43dafc7ba8e684c016eb4"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a6e1a42622ca43dafc7ba8e684c016eb4">armnn::OptimizerOptions::m_ReduceFp32ToFp16</a></div><div class="ttdeci">bool m_ReduceFp32ToFp16</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00153">INetwork.hpp:153</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptions &options=OptimizerOptions(), Optional< std::vector< std::string > &> messages=EmptyOptional())</div><div class="ttdoc">Create an optimized version of the network. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01502">Network.cpp:1502</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a></div><div class="ttdeci">std::unique_ptr< IOptimizedNetwork, void(*)(IOptimizedNetwork *network)> IOptimizedNetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00174">INetwork.hpp:174</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a></div><div class="ttdoc">GPU Execution: OpenCL: ArmCompute. </div></div>
<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml">armnn::OptimizerOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00110">INetwork.hpp:110</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6. </div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00043">IRuntime.hpp:43</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a6a2659750d6161b693d0e51616791959"><div class="ttname"><a href="namespacearmnn.xhtml#a6a2659750d6161b693d0e51616791959">armnn::GetGraphForTesting</a></div><div class="ttdeci">Graph & GetGraphForTesting(IOptimizedNetwork *optNet)</div><div class="ttdef"><b>Definition:</b> <a href="_test_utils_8cpp_source.xhtml#l00025">TestUtils.cpp:25</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr< INetwork, void(*)(INetwork *network)> INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00173">INetwork.hpp:173</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_network_xhtml_a464f0ff87b1aabf71febaa71321dd40b"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a464f0ff87b1aabf71febaa71321dd40b">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create(NetworkOptions networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00510">Network.cpp:510</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#ad2472388efc119bcd4790a7e24bf3b5e">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[3/4]</span></h2>
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<td class="memname">BOOST_AUTO_TEST_CASE </td>
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<p class="definition">Definition at line <a class="el" href="_cl_optimized_network_tests_8cpp_source.xhtml#l00109">109</a> of file <a class="el" href="_cl_optimized_network_tests_8cpp_source.xhtml">ClOptimizedNetworkTests.cpp</a>.</p>
<p class="reference">References <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">IOutputSlot::Connect()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00037">IRuntime::Create()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00510">INetwork::Create()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="_test_utils_8cpp_source.xhtml#l00030">armnn::GetModelOptionsForTesting()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_i_network_8hpp_source.xhtml#l00168">OptimizerOptions::m_ModelOptions</a>, <a class="el" href="_network_8cpp_source.xhtml#l01502">armnn::Optimize()</a>, and <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>.</p>
<div class="fragment"><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> net(<a class="code" href="classarmnn_1_1_i_network.xhtml#a464f0ff87b1aabf71febaa71321dd40b">armnn::INetwork::Create</a>());</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* input = net->AddInputLayer(0);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* output = net->AddOutputLayer(0);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  input-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(output-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  input-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>({ 1, 1, 4, 4 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> options;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a> runtime(<a class="code" href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(options));</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  std::vector<armnn::BackendId> backends = {<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a>};</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="structarmnn_1_1_optimizer_options.xhtml">armnn::OptimizerOptions</a> optimizerOptions;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> modelOptions(<span class="stringliteral">"GpuAcc"</span>, {{<span class="stringliteral">"FastMathEnabled"</span>, <span class="keyword">true</span>}});</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  optimizerOptions.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a71194277c60153a5f86539f5d39f01db">m_ModelOptions</a>.push_back(modelOptions);</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>  <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a> optimizedNet = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a>(</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  *net, backends, runtime->GetDeviceSpec(), optimizerOptions);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  BOOST_CHECK(optimizedNet);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">auto</span> modelOptionsOut = <a class="code" href="namespacearmnn.xhtml#ac8c5f9574593b4623d4850f5fd26e3cc">GetModelOptionsForTesting</a>(optimizedNet.get());</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  BOOST_TEST(modelOptionsOut.size() == 1);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  BOOST_TEST(modelOptionsOut[0].GetOption(0).GetName() == <span class="stringliteral">"FastMathEnabled"</span>);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  BOOST_TEST(modelOptionsOut[0].GetOption(0).GetValue().AsBool() == <span class="keyword">true</span>);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> }</div><div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml_a71194277c60153a5f86539f5d39f01db"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a71194277c60153a5f86539f5d39f01db">armnn::OptimizerOptions::m_ModelOptions</a></div><div class="ttdeci">ModelOptions m_ModelOptions</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00168">INetwork.hpp:168</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_ad44ecd3700748dc30dc4bbe34ba5bde7"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a></div><div class="ttdeci">static IRuntimePtr Create(const CreationOptions &options)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00037">Runtime.cpp:37</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00062">INetwork.hpp:62</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a150468a02bd7b2d2d061c4aaaee939f0"><div class="ttname"><a href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a></div><div class="ttdeci">std::unique_ptr< IRuntime, void(*)(IRuntime *runtime)> IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00026">IRuntime.hpp:26</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a5ee4a6c9a2481245487b1b1a70d20fd0"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">armnn::IOutputSlot::SetTensorInfo</a></div><div class="ttdeci">virtual void SetTensorInfo(const TensorInfo &tensorInfo)=0</div></div>
<div class="ttc" id="namespacearmnn_xhtml_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptions &options=OptimizerOptions(), Optional< std::vector< std::string > &> messages=EmptyOptional())</div><div class="ttdoc">Create an optimized version of the network. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01502">Network.cpp:1502</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a></div><div class="ttdeci">std::unique_ptr< IOptimizedNetwork, void(*)(IOptimizedNetwork *network)> IOptimizedNetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00174">INetwork.hpp:174</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a></div><div class="ttdoc">GPU Execution: OpenCL: ArmCompute. </div></div>
<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml">armnn::OptimizerOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00110">INetwork.hpp:110</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00043">IRuntime.hpp:43</a></div></div>
<div class="ttc" id="structarmnn_1_1_backend_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a></div><div class="ttdoc">Struct for the users to pass backend specific options. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00020">BackendOptions.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">armnn::IConnectableLayer::GetInputSlot</a></div><div class="ttdeci">virtual const IInputSlot & GetInputSlot(unsigned int index) const =0</div><div class="ttdoc">Get a const input slot handle by slot index. </div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ac8c5f9574593b4623d4850f5fd26e3cc"><div class="ttname"><a href="namespacearmnn.xhtml#ac8c5f9574593b4623d4850f5fd26e3cc">armnn::GetModelOptionsForTesting</a></div><div class="ttdeci">ModelOptions & GetModelOptionsForTesting(IOptimizedNetwork *optNet)</div><div class="ttdef"><b>Definition:</b> <a href="_test_utils_8cpp_source.xhtml#l00030">TestUtils.cpp:30</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">armnn::IConnectableLayer::GetOutputSlot</a></div><div class="ttdeci">virtual const IOutputSlot & GetOutputSlot(unsigned int index) const =0</div><div class="ttdoc">Get the const output slot handle by slot index. </div></div>
<div class="ttc" id="namespacearmnn_xhtml_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr< INetwork, void(*)(INetwork *network)> INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00173">INetwork.hpp:173</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &destination)=0</div></div>
<div class="ttc" id="classarmnn_1_1_i_network_xhtml_a464f0ff87b1aabf71febaa71321dd40b"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a464f0ff87b1aabf71febaa71321dd40b">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create(NetworkOptions networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00510">Network.cpp:510</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#af3c90e54949b723c2e3dc11cb554c47f">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[4/4]</span></h2>
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<p class="definition">Definition at line <a class="el" href="_cl_optimized_network_tests_8cpp_source.xhtml#l00139">139</a> of file <a class="el" href="_cl_optimized_network_tests_8cpp_source.xhtml">ClOptimizedNetworkTests.cpp</a>.</p>
<p class="reference">References <a class="el" href="_cl_optimized_network_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="_cl_backend_context_8cpp_source.xhtml#l00140">ClBackendContext::ClBackendContext()</a>, <a class="el" href="_i_runtime_8hpp_source.xhtml#l00116">IRuntime::CreationOptions::m_BackendOptions</a>, and <a class="el" href="_filesystem_8cpp_source.xhtml#l00023">armnnUtils::Filesystem::NamedTempFile()</a>.</p>
<div class="fragment"><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">class </span>ClBackendContextTestClass : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_cl_backend_context.xhtml">armnn::ClBackendContext</a></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="keyword">public</span>:</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  ClBackendContextTestClass(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> &options) : ClBackendContext(options)</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  {}</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordtype">bool</span> call_reload_from_file()</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  {</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordflow">return</span> m_MLGOTuner.reload_from_file(m_MLGOTuningFile);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  }</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  };</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keyword">const</span> std::string validText{</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="stringliteral">"<header>\n"</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="stringliteral">"gemm-version, [1,2,1]\n"</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="stringliteral">"ip-type,gpu\n"</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="stringliteral">"</header>\n"</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="stringliteral">"<heuristics-table>\n"</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="stringliteral">"0, g71 , 8, f32, best-performance, static, gemm-type, [m,n,k,n]\n"</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="stringliteral">"1, g71 , 8, f32, best-performance, static, gemm-config-reshaped-only-rhs, [m,n,k,n]\n"</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="stringliteral">"2, g71 , 8, f32, best-performance, static, gemm-config-reshaped, [m,n,k,n]\n"</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="stringliteral">"3, g71 , 8, qasymm8, best-performance, static, gemm-type, [m,n,k,n]\n"</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="stringliteral">"4, g71 , 8, qasymm8, best-performance, static, gemm-config-reshaped-only-rhs, [m,n,k,n]\n"</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="stringliteral">"5, g71 , 8, qasymm8, best-performance, static, gemm-config-native, [m,n,k,n]\n"</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="stringliteral">"</heuristics-table>\n"</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="stringliteral">"<heuristic, 0>\n"</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="stringliteral">"b , 0, var, r_mn, >=, num, 2., 1, 2\n"</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="stringliteral">"l , 1, gemm-type, reshaped\n"</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="stringliteral">"l , 2, gemm-type, reshaped-only-rhs\n"</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="stringliteral">"</heuristic>\n"</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="stringliteral">"<heuristic, 1>\n"</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="stringliteral">"l ,0,gemm-config-reshaped-only-rhs, [2, 4,4,4,1,1,0]\n"</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="stringliteral">"</heuristic>\n"</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="stringliteral">"<heuristic, 2>\n"</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="stringliteral">"l ,0,gemm-config-reshaped,[4,2,8,16,16,1,0,1,0]\n"</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="stringliteral">"</heuristic>\n"</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="stringliteral">"<heuristic, 3>\n"</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="stringliteral">"l , 0, gemm-type, native\n"</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="stringliteral">"</heuristic>\n"</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="stringliteral">"<heuristic, 4>\n"</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="stringliteral">"l ,0,gemm-config-reshaped-only-rhs, [2, 4,4,4,1,1,0]\n"</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="stringliteral">"</heuristic>\n"</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="stringliteral">"<heuristic, 5>\n"</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="stringliteral">"l ,0,gemm-config-native,[4,2,8]\n"</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="stringliteral">"</heuristic>\n"</span>};</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">const</span> std::string invalidText{<span class="stringliteral">"ʕノ•ᴥ•ʔノ ︵ ┻━┻"</span>};</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  fs::path validFile = <a class="code" href="namespacearmnn_utils_1_1_filesystem.xhtml#a606d65835d72a332109c3c9f96a01b8a">armnnUtils::Filesystem::NamedTempFile</a>(<span class="stringliteral">"validFile.mlgo"</span>);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  fs::path invalidFile = <a class="code" href="namespacearmnn_utils_1_1_filesystem.xhtml#a606d65835d72a332109c3c9f96a01b8a">armnnUtils::Filesystem::NamedTempFile</a>(<span class="stringliteral">"invalidFile.mlgo"</span>);</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>  <span class="keywordflow">try</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  {</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  std::ofstream ofs1{validFile};</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  ofs1 << validText << std::endl;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  ofs1.close();</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  std::ofstream ofs2{invalidFile};</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  ofs2 << invalidText << std::endl;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  ofs2.close();</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  }</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">catch</span> (std::exception &e)</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  {</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  std::cerr << <span class="stringliteral">"Unable to write to file at location ["</span> << validFile.c_str() << <span class="stringliteral">"] : "</span> << e.what() << std::endl;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  BOOST_TEST(<span class="keyword">false</span>);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  }</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> creationOptions1;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> validOptions</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="stringliteral">"GpuAcc"</span>,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  {</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  {<span class="stringliteral">"MLGOTuningFilePath"</span>, validFile.c_str()}</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  }</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  };</div><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>  creationOptions1.<a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml#aecebc69597fe0d38a3964031c6eeb0a8">m_BackendOptions</a>.emplace_back(validOptions);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  ClBackendContextTestClass clBackendContext1(creationOptions1);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  BOOST_TEST(clBackendContext1.call_reload_from_file());</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> invalidOptions</div><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>  <span class="stringliteral">"GpuAcc"</span>,</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="stringliteral">"MLGOTuningFilePath"</span>, invalidFile.c_str()}</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>  };</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> creationOptions2;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  creationOptions2.<a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml#aecebc69597fe0d38a3964031c6eeb0a8">m_BackendOptions</a>.emplace_back(invalidOptions);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  ClBackendContextTestClass clBackendContext2(creationOptions2);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  BOOST_TEST(clBackendContext2.call_reload_from_file() == <span class="keyword">false</span>);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> invalidPathOptions</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>  <span class="stringliteral">"GpuAcc"</span>,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  {</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  {<span class="stringliteral">"MLGOTuningFilePath"</span>, <span class="stringliteral">"not_a_real_file_path"</span>}</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>  };</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> creationOptions3;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  creationOptions3.<a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml#aecebc69597fe0d38a3964031c6eeb0a8">m_BackendOptions</a>.emplace_back(invalidPathOptions);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  ClBackendContextTestClass clBackendContext3(creationOptions3);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  BOOST_TEST(clBackendContext3.call_reload_from_file() == <span class="keyword">false</span>);</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> }</div><div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml_aecebc69597fe0d38a3964031c6eeb0a8"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml#aecebc69597fe0d38a3964031c6eeb0a8">armnn::IRuntime::CreationOptions::m_BackendOptions</a></div><div class="ttdeci">std::vector< BackendOptions > m_BackendOptions</div><div class="ttdoc">Pass backend specific options. </div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00116">IRuntime.hpp:116</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00043">IRuntime.hpp:43</a></div></div>
<div class="ttc" id="structarmnn_1_1_backend_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a></div><div class="ttdoc">Struct for the users to pass backend specific options. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00020">BackendOptions.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_backend_context_xhtml"><div class="ttname"><a href="classarmnn_1_1_cl_backend_context.xhtml">armnn::ClBackendContext</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_backend_context_8hpp_source.xhtml#l00017">ClBackendContext.hpp:17</a></div></div>
<div class="ttc" id="namespacearmnn_utils_1_1_filesystem_xhtml_a606d65835d72a332109c3c9f96a01b8a"><div class="ttname"><a href="namespacearmnn_utils_1_1_filesystem.xhtml#a606d65835d72a332109c3c9f96a01b8a">armnnUtils::Filesystem::NamedTempFile</a></div><div class="ttdeci">fs::path NamedTempFile(const char *fileName)</div><div class="ttdoc">Construct a temporary file name. </div><div class="ttdef"><b>Definition:</b> <a href="_filesystem_8cpp_source.xhtml#l00023">Filesystem.cpp:23</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#af7f71af5c6c124222dd1c42c5df892f4">◆ </a></span>BOOST_AUTO_TEST_SUITE_END()</h2>
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