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<div class="textblock"><code>#include &lt;<a class="el" href="_descriptors_8hpp_source.html">armnn/Descriptors.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="_i_network_8hpp_source.html">armnn/INetwork.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="_i_runtime_8hpp_source.html">armnn/IRuntime.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="_i_deserializer_8hpp_source.html">armnnDeserializer/IDeserializer.hpp</a>&gt;</code><br />
<code>#include &quot;<a class="el" href="_serializer_8hpp_source.html">../Serializer.hpp</a>&quot;</code><br />
<code>#include &lt;sstream&gt;</code><br />
<code>#include &lt;boost/core/ignore_unused.hpp&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="_activation_serialization_tests_8cpp_source.html#l00032">32</a> of file <a class="el" href="_activation_serialization_tests_8cpp_source.html">ActivationSerializationTests.cpp</a>.</p>
<p class="reference">References <a class="el" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">IOutputSlot::Connect()</a>, <a class="el" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::CpuRef</a>, <a class="el" href="_deserializer_8cpp_source.html#l00650">IDeserializer::Create()</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="_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="_network_8cpp_source.html#l00807">armnn::Optimize()</a>, <a class="el" href="_file_only_profiling_decorator_tests_8cpp_source.html#l00045">options</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>, <a class="el" href="_serializer_8cpp_source.html#l01551">Serializer::SaveSerializedToStream()</a>, <a class="el" href="_serializer_8cpp_source.html#l01533">Serializer::Serialize()</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="l00033"></a><span class="lineno"> 33</span>&#160;{</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <a class="code" href="namespacearmnn_deserializer.html#ad33c6040680106b9af566d7269d8c949">armnnDeserializer::IDeserializerPtr</a> parser = <a class="code" href="classarmnn_deserializer_1_1_i_deserializer.html#af116abd698a7feb92876ae48917005a4">armnnDeserializer::IDeserializer::Create</a>();</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputInfo(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1, 2, 2, 1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>, 1.0f, 0);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputInfo(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1, 2, 2, 1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>, 4.0f, 0);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="comment">// Construct network</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network = <a class="code" href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">armnn::INetwork::Create</a>();</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <a class="code" href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a> descriptor;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> = 0;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = 0;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* <span class="keyword">const</span> inputLayer = network-&gt;AddInputLayer(0, <span class="stringliteral">&quot;input&quot;</span>);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* <span class="keyword">const</span> activationLayer = network-&gt;AddActivationLayer(descriptor, <span class="stringliteral">&quot;activation&quot;</span>);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* <span class="keyword">const</span> outputLayer = network-&gt;AddOutputLayer(0, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; inputLayer-&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>(activationLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; inputLayer-&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>(inputInfo);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; activationLayer-&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>(outputLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; activationLayer-&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>(outputInfo);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <a class="code" href="classarmnn_serializer_1_1_serializer.html">armnnSerializer::Serializer</a> <a class="code" href="namespacearmnn_serializer.html">serializer</a>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; serializer.<a class="code" href="classarmnn_serializer_1_1_serializer.html#a62dbb19d4776b489161b699f608f0150">Serialize</a>(*network);</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; std::stringstream stream;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; serializer.<a class="code" href="classarmnn_serializer_1_1_serializer.html#af21f36069c661c4afa7221a305de80e0">SaveSerializedToStream</a>(stream);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; std::string <span class="keyword">const</span> serializerString{stream.str()};</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; std::vector&lt;std::uint8_t&gt; <span class="keyword">const</span> serializerVector{serializerString.begin(), serializerString.end()};</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> deserializedNetwork = parser-&gt;CreateNetworkFromBinary(serializerVector);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; VerifyActivationName visitor;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; deserializedNetwork-&gt;Accept(visitor);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</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>; <span class="comment">// default options</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="namespacearmnn.html#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a> run = <a class="code" href="classarmnn_1_1_i_runtime.html#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(options);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keyword">auto</span> deserializedOptimized = <a class="code" href="namespacearmnn.html#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*deserializedNetwork, { <a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a> }, run-&gt;GetDeviceSpec());</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <a class="code" href="namespacearmnn.html#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a> networkIdentifier;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="comment">// Load graph into runtime</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; run-&gt;LoadNetwork(networkIdentifier, std::move(deserializedOptimized));</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; std::vector&lt;float&gt; inputData {0.0f, -5.3f, 42.0f, -42.0f};</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <a class="code" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> inputTensors</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; {0, <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a>(run-&gt;GetInputTensorInfo(networkIdentifier, 0), inputData.data())}</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; };</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; std::vector&lt;float&gt; expectedOutputData {0.0f, 0.0f, 42.0f, 0.0f};</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; std::vector&lt;float&gt; outputData(4);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <a class="code" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> outputTensors</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; {0, <a class="code" href="classarmnn_1_1_tensor.html">armnn::Tensor</a>(run-&gt;GetOutputTensorInfo(networkIdentifier, 0), outputData.data())}</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; };</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; run-&gt;EnqueueWorkload(networkIdentifier, inputTensors, outputTensors);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; BOOST_CHECK_EQUAL_COLLECTIONS(outputData.begin(), outputData.end(),</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; expectedOutputData.begin(), expectedOutputData.end());</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</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_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="classarmnn_serializer_1_1_serializer_html_af21f36069c661c4afa7221a305de80e0"><div class="ttname"><a href="classarmnn_serializer_1_1_serializer.html#af21f36069c661c4afa7221a305de80e0">armnnSerializer::Serializer::SaveSerializedToStream</a></div><div class="ttdeci">bool SaveSerializedToStream(std::ostream &amp;stream) override</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8cpp_source.html#l01551">Serializer.cpp:1551</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00199">Tensor.hpp:199</a></div></div>
<div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div></div>
<div class="ttc" id="namespacearmnn_html_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; LayerBindingId, class Tensor &gt; &gt; OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00226">Tensor.hpp:226</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="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_serializer_1_1_serializer_html"><div class="ttname"><a href="classarmnn_serializer_1_1_serializer.html">armnnSerializer::Serializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8hpp_source.html#l00320">Serializer.hpp:320</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_serializer_1_1_serializer_html_a62dbb19d4776b489161b699f608f0150"><div class="ttname"><a href="classarmnn_serializer_1_1_serializer.html#a62dbb19d4776b489161b699f608f0150">armnnSerializer::Serializer::Serialize</a></div><div class="ttdeci">void Serialize(const armnn::INetwork &amp;inNetwork) override</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8cpp_source.html#l01533">Serializer.cpp:1533</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_html"><div class="ttname"><a href="classarmnn_1_1_tensor.html">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00191">Tensor.hpp:191</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_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; LayerBindingId, class ConstTensor &gt; &gt; InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00225">Tensor.hpp:225</a></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="namespacearmnn_serializer_html"><div class="ttname"><a href="namespacearmnn_serializer.html">armnnSerializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_serializer_8hpp_source.html#l00011">ISerializer.hpp:11</a></div></div>
<div class="ttc" id="namespacearmnn_deserializer_html_ad33c6040680106b9af566d7269d8c949"><div class="ttname"><a href="namespacearmnn_deserializer.html#ad33c6040680106b9af566d7269d8c949">armnnDeserializer::IDeserializerPtr</a></div><div class="ttdeci">std::unique_ptr&lt; IDeserializer, void(*)(IDeserializer *parser)&gt; IDeserializerPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_deserializer_8hpp_source.html#l00025">IDeserializer.hpp:25</a></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="namespacearmnn_html_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdoc">CPU Execution: Reference C++ kernels. </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_deserializer_1_1_i_deserializer_html_af116abd698a7feb92876ae48917005a4"><div class="ttname"><a href="classarmnn_deserializer_1_1_i_deserializer.html#af116abd698a7feb92876ae48917005a4">armnnDeserializer::IDeserializer::Create</a></div><div class="ttdeci">static IDeserializerPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_deserializer_8cpp_source.html#l00650">Deserializer.cpp:650</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="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="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_a83015160d8c67d5d77735eb0d4033d9a"><div class="ttname"><a href="namespacearmnn.html#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00019">IRuntime.hpp:19</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>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_html_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">armnn::IConnectableLayer::GetOutputSlot</a></div><div class="ttdeci">virtual const IOutputSlot &amp; GetOutputSlot(unsigned int index) const =0</div></div>
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