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<div class="textblock"><code>#include &quot;<a class="el" href="_cl_workload_factory_helper_8hpp_source.html">ClWorkloadFactoryHelper.hpp</a>&quot;</code><br />
<code>#include &lt;<a class="el" href="_network_8hpp_source.html">Network.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="_graph_utils_8hpp_source.html">test/GraphUtils.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="_cl_workload_factory_8hpp_source.html">cl/ClWorkloadFactory.hpp</a>&gt;</code><br />
<code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
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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.html#l00018">18</a> of file <a class="el" href="_cl_optimized_network_tests_8cpp_source.html">ClOptimizedNetworkTests.cpp</a>.</p>
<p class="reference">References <a class="el" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">IOutputSlot::Connect()</a>, <a class="el" href="_network_8cpp_source.html#l00048">INetwork::Create()</a>, <a class="el" href="_runtime_8cpp_source.html#l00032">IRuntime::Create()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_network_8cpp_source.html#l00807">armnn::Optimize()</a>, <a class="el" href="_file_only_profiling_decorator_tests_8cpp_source.html#l00045">options</a>, and <a class="el" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>.</p>
<div class="fragment"><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <span class="comment">// build up the structure of the network</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> net(<a class="code" href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">armnn::INetwork::Create</a>());</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* input = net-&gt;AddInputLayer(0);</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* output = net-&gt;AddOutputLayer(0);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; input-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(output-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; input-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>({ 1, 1, 4, 4 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">armnn::IRuntime::CreationOptions</a> <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a6560146509197f3e197d8d36f76c1347">options</a>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <a class="code" href="namespacearmnn.html#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a> runtime(<a class="code" href="classarmnn_1_1_i_runtime.html#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(options));</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; std::vector&lt;armnn::BackendId&gt; backends = { <a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a> };</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a> optNet = <a class="code" href="namespacearmnn.html#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a>(*net, backends, runtime-&gt;GetDeviceSpec());</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(optNet);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="comment">// validate workloads</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <a class="code" href="classarmnn_1_1_cl_workload_factory.html">armnn::ClWorkloadFactory</a> fact =</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager());</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; layer : static_cast&lt;armnn::OptimizedNetwork*&gt;(optNet.get())-&gt;GetGraph())</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(layer-&gt;GetBackendId() == <a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a>);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; BOOST_CHECK_NO_THROW(</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; layer-&gt;CreateWorkload(fact));</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; }</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_i_connectable_layer_html_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">armnn::IConnectableLayer::GetInputSlot</a></div><div class="ttdeci">virtual const IInputSlot &amp; GetInputSlot(unsigned int index) const =0</div></div>
<div class="ttc" id="namespacearmnn_html_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.html#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &amp;network, const std::vector&lt; BackendId &gt; &amp;backendPreferences, const IDeviceSpec &amp;deviceSpec, const OptimizerOptions &amp;options=OptimizerOptions(), Optional&lt; std::vector&lt; std::string &gt; &amp;&gt; messages=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00807">Network.cpp:807</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_html_a5ee4a6c9a2481245487b1b1a70d20fd0"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">armnn::IOutputSlot::SetTensorInfo</a></div><div class="ttdeci">virtual void SetTensorInfo(const TensorInfo &amp;tensorInfo)=0</div></div>
<div class="ttc" id="classarmnn_1_1_i_network_html_a706f7345af3f18f4b16e226a672214c6"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00048">Network.cpp:48</a></div></div>
<div class="ttc" id="_file_only_profiling_decorator_tests_8cpp_html_a0c262ba6f6c189a2d092d127c1b7627b"><div class="ttname"><a href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a></div><div class="ttdeci">BOOST_CHECK(profilingService.GetCurrentState()==ProfilingState::WaitingForAck)</div></div>
<div class="ttc" id="namespacearmnn_html_ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a></div><div class="ttdoc">GPU Execution: OpenCL: ArmCompute. </div></div>
<div class="ttc" id="namespacearmnn_html_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr&lt; INetwork, void(*)(INetwork *network)&gt; INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00085">INetwork.hpp:85</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_html_ad44ecd3700748dc30dc4bbe34ba5bde7"><div class="ttname"><a href="classarmnn_1_1_i_runtime.html#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a></div><div class="ttdeci">static IRuntimePtr Create(const CreationOptions &amp;options)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.html#l00032">Runtime.cpp:32</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">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.html#l00061">INetwork.hpp:61</a></div></div>
<div class="ttc" id="namespacearmnn_html_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a></div><div class="ttdeci">std::unique_ptr&lt; IOptimizedNetwork, void(*)(IOptimizedNetwork *network)&gt; IOptimizedNetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00544">INetwork.hpp:544</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_html"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.html">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00041">IRuntime.hpp:41</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_html_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &amp;destination)=0</div></div>
<div class="ttc" id="_file_only_profiling_decorator_tests_8cpp_html_a6560146509197f3e197d8d36f76c1347"><div class="ttname"><a href="_file_only_profiling_decorator_tests_8cpp.html#a6560146509197f3e197d8d36f76c1347">options</a></div><div class="ttdeci">armnn::Runtime::CreationOptions::ExternalProfilingOptions options</div><div class="ttdef"><b>Definition:</b> <a href="_file_only_profiling_decorator_tests_8cpp_source.html#l00045">FileOnlyProfilingDecoratorTests.cpp:45</a></div></div>
<div class="ttc" id="namespacearmnn_html_a150468a02bd7b2d2d061c4aaaee939f0"><div class="ttname"><a href="namespacearmnn.html#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a></div><div class="ttdeci">std::unique_ptr&lt; IRuntime, void(*)(IRuntime *runtime)&gt; IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00024">IRuntime.hpp:24</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a04ac30f1bc321aad1c1ec487bc520e10">&#9670;&nbsp;</a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[2/2]</span></h2>
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<p class="definition">Definition at line <a class="el" href="_cl_optimized_network_tests_8cpp_source.html#l00046">46</a> of file <a class="el" href="_cl_optimized_network_tests_8cpp_source.html">ClOptimizedNetworkTests.cpp</a>.</p>
<p class="reference">References <a class="el" href="_network_8cpp_source.html#l01155">Network::AddActivationLayer()</a>, <a class="el" href="_network_8cpp_source.html#l00953">Network::AddInputLayer()</a>, <a class="el" href="_network_8cpp_source.html#l01222">Network::AddOutputLayer()</a>, <a class="el" href="_cl_optimized_network_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">IOutputSlot::Connect()</a>, <a class="el" href="_runtime_8cpp_source.html#l00032">IRuntime::Create()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_graph_utils_8cpp_source.html#l00008">GraphHasNamedLayer()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.html#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.html#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_i_network_8hpp_source.html#l00573">OptimizerOptions::m_ReduceFp32ToFp16</a>, <a class="el" href="_network_8cpp_source.html#l00807">armnn::Optimize()</a>, and <a class="el" href="_file_only_profiling_decorator_tests_8cpp_source.html#l00045">options</a>.</p>
<div class="fragment"><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;{</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="comment">// Test to check when Fp16 Turbo mode set</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="comment">// it converts the Fp32 network to Fp16 Network</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="comment">// add Fp32ToFp16 conversion layer after the InputLayer</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="comment">// add Fp16ToFp32 conversion layer after the OutputLayer</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="comment">// checks the other layers if they are supported in Fp16</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="comment">// if they are not put the conversion layers before and after</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="comment">// if they are not supported in Fp16 use Fp32 instead</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="comment">// if there are inverse conversion layers remove them with optimization</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <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="l00057"></a><span class="lineno"> 57</span>&#160; <span class="comment">// and inverse conversion layers are removed by the optimizer</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="classarmnn_1_1_network.html">armnn::Network</a> net;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="comment">// Defines layers.</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keyword">auto</span> input = net.<a class="code" href="classarmnn_1_1_network.html#a90d8841cfbbc82ab02328f33fed24ac6">AddInputLayer</a>(0, <span class="stringliteral">&quot;input layer&quot;</span>);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="comment">// ReLu1</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <a class="code" href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a> activation1Descriptor;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; activation1Descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; activation1Descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.f;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; activation1Descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.f;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keyword">auto</span> activation = net.<a class="code" href="classarmnn_1_1_network.html#a36a40a1209689f39a5a283209991da3c">AddActivationLayer</a>(activation1Descriptor, <span class="stringliteral">&quot;activation layer&quot;</span>);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keyword">auto</span> output = net.<a class="code" href="classarmnn_1_1_network.html#ad55ff20f4c7e60c18b849e61f28f0e2e">AddOutputLayer</a>(0, <span class="stringliteral">&quot;output layer&quot;</span>);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="comment">// Connects layers.</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; input-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(activation-&gt;GetInputSlot(0));</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; activation-&gt;GetOutputSlot(0).Connect(output-&gt;GetInputSlot(0));</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> shape({4});</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>(shape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; input-&gt;GetOutputSlot(0).SetTensorInfo(info);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; activation-&gt;GetOutputSlot(0).SetTensorInfo(info);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">armnn::IRuntime::CreationOptions</a> <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a6560146509197f3e197d8d36f76c1347">options</a>;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <a class="code" href="namespacearmnn.html#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a> runtime(<a class="code" href="classarmnn_1_1_i_runtime.html#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(options));</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; std::vector&lt;armnn::BackendId&gt; backends = {<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a>};</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="structarmnn_1_1_optimizer_options.html">armnn::OptimizerOptions</a> optimizerOptions;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; optimizerOptions.<a class="code" href="structarmnn_1_1_optimizer_options.html#a6e1a42622ca43dafc7ba8e684c016eb4">m_ReduceFp32ToFp16</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a> optimizedNet = <a class="code" href="namespacearmnn.html#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a>(</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; net, backends, runtime-&gt;GetDeviceSpec(), optimizerOptions);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a>&amp; graph = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_optimized_network.html">armnn::OptimizedNetwork</a>*<span class="keyword">&gt;</span>(optimizedNet.get())-&gt;GetGraph();</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="comment">// Tests that all layers are present in the graph.</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; BOOST_TEST(graph.GetNumLayers() == 5);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="comment">// Tests that the vertices exist and have correct names.</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(graph, <span class="stringliteral">&quot;input layer&quot;</span>));</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(graph, <span class="stringliteral">&quot;convert_fp32_to_fp16-0-input layer&quot;</span>));</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(graph, <span class="stringliteral">&quot;activation layer&quot;</span>));</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(graph, <span class="stringliteral">&quot;convert_fp16_to_fp32-0-output layer&quot;</span>));</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(graph, <span class="stringliteral">&quot;output layer&quot;</span>));</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_html_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00037">Descriptors.hpp:37</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_html_a90d8841cfbbc82ab02328f33fed24ac6"><div class="ttname"><a href="classarmnn_1_1_network.html#a90d8841cfbbc82ab02328f33fed24ac6">armnn::Network::AddInputLayer</a></div><div class="ttdeci">IConnectableLayer * AddInputLayer(LayerBindingId id, const char *name=nullptr) override</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00953">Network.cpp:953</a></div></div>
<div class="ttc" id="namespacearmnn_html_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.html#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &amp;network, const std::vector&lt; BackendId &gt; &amp;backendPreferences, const IDeviceSpec &amp;deviceSpec, const OptimizerOptions &amp;options=OptimizerOptions(), Optional&lt; std::vector&lt; std::string &gt; &amp;&gt; messages=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00807">Network.cpp:807</a></div></div>
<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00020">Descriptors.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_optimized_network_html"><div class="ttname"><a href="classarmnn_1_1_optimized_network.html">armnn::OptimizedNetwork</a></div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00261">Network.hpp:261</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="_graph_utils_8cpp_html_ac73a43305233b7e5f70debdb2d14a8d3"><div class="ttname"><a href="_graph_utils_8cpp.html#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a></div><div class="ttdeci">bool GraphHasNamedLayer(const armnn::Graph &amp;graph, const std::string &amp;name)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.html#l00008">GraphUtils.cpp:8</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_html_a36a40a1209689f39a5a283209991da3c"><div class="ttname"><a href="classarmnn_1_1_network.html#a36a40a1209689f39a5a283209991da3c">armnn::Network::AddActivationLayer</a></div><div class="ttdeci">IConnectableLayer * AddActivationLayer(const ActivationDescriptor &amp;activationDescriptor, const char *name=nullptr) override</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01155">Network.cpp:1155</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_html"><div class="ttname"><a href="classarmnn_1_1_network.html">armnn::Network</a></div><div class="ttdoc">Private implementation of INetwork. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00027">Network.hpp:27</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_html_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00039">Descriptors.hpp:39</a></div></div>
<div class="ttc" id="namespacearmnn_html_ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a></div><div class="ttdoc">GPU Execution: OpenCL: ArmCompute. </div></div>
<div class="ttc" id="structarmnn_1_1_optimizer_options_html"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html">armnn::OptimizerOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00560">INetwork.hpp:560</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_html_ad44ecd3700748dc30dc4bbe34ba5bde7"><div class="ttname"><a href="classarmnn_1_1_i_runtime.html#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a></div><div class="ttdeci">static IRuntimePtr Create(const CreationOptions &amp;options)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.html#l00032">Runtime.cpp:32</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_html_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00035">Descriptors.hpp:35</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) </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="namespacearmnn_html_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a></div><div class="ttdeci">std::unique_ptr&lt; IOptimizedNetwork, void(*)(IOptimizedNetwork *network)&gt; IOptimizedNetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00544">INetwork.hpp:544</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_html"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.html">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00041">IRuntime.hpp:41</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_html_ad55ff20f4c7e60c18b849e61f28f0e2e"><div class="ttname"><a href="classarmnn_1_1_network.html#ad55ff20f4c7e60c18b849e61f28f0e2e">armnn::Network::AddOutputLayer</a></div><div class="ttdeci">IConnectableLayer * AddOutputLayer(LayerBindingId id, const char *name=nullptr) override</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01222">Network.cpp:1222</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_html_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &amp;destination)=0</div></div>
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<div class="ttc" id="namespacearmnn_html_a150468a02bd7b2d2d061c4aaaee939f0"><div class="ttname"><a href="namespacearmnn.html#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a></div><div class="ttdeci">std::unique_ptr&lt; IRuntime, void(*)(IRuntime *runtime)&gt; IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00024">IRuntime.hpp:24</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#af7f71af5c6c124222dd1c42c5df892f4">&#9670;&nbsp;</a></span>BOOST_AUTO_TEST_SUITE_END()</h2>
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<p class="reference">Referenced by <a class="el" href="_cl_optimized_network_tests_8cpp_source.html#l00046">BOOST_AUTO_TEST_CASE()</a>.</p>
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