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<a href="_neon_timer_test_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_neon_workload_factory_helper_8hpp.html">NeonWorkloadFactoryHelper.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_helpers_8hpp.html">test/TensorHelpers.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cpu_tensor_handle_8hpp.html">backendsCommon/CpuTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_8hpp.html">backendsCommon/WorkloadFactory.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_neon_timer_8hpp.html">neon/NeonTimer.hpp</a>&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_neon_workload_factory_8hpp.html">neon/NeonWorkloadFactory.hpp</a>&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_layer_tests_8hpp.html">backendsCommon/test/LayerTests.hpp</a>&gt;</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_copy_utils_8hpp.html">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_test_utils_8hpp.html">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="preprocessor">#include &lt;boost/test/unit_test.hpp&gt;</span></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;<span class="preprocessor">#include &lt;cstdlib&gt;</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></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;<span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<a class="code" href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(NeonTimerInstrument)</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="_neon_timer_test_8cpp.html#a8ae6df7cb9d9f3d8bc13af5ce82a37f0"> 31</a></span>&#160;<a class="code" href="namespacearmnn.html#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(NeonTimerGetName)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;{</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <a class="code" href="classarmnn_1_1_neon_timer.html">NeonTimer</a> neonTimer;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; BOOST_CHECK_EQUAL(neonTimer.<a class="code" href="classarmnn_1_1_neon_timer.html#ad47edad463024345ce1409153c259215">GetName</a>(), <span class="stringliteral">&quot;NeonKernelTimer&quot;</span>);</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;</div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="_neon_timer_test_8cpp.html#a18451c8c83674aba54b8882d56ebe03e"> 37</a></span>&#160;<a class="code" href="namespacearmnn.html#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(NeonTimerMeasure)</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; <a class="code" href="classarmnn_1_1_neon_workload_factory.html">NeonWorkloadFactory</a> workloadFactory =</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager());</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; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = 2000u;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = 2000u;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels = 1u;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputBatchSize = 1u;</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; <span class="keywordtype">float</span> upperBound = 1.0f;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keywordtype">float</span> lowerBound = -1.0f;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keywordtype">size_t</span> inputSize = inputWidth * inputHeight * inputChannels * inputBatchSize;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; std::vector&lt;float&gt; inputData(inputSize, 0.f);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; std::generate(inputData.begin(), inputData.end(), [](){</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordflow">return</span> (static_cast&lt;float&gt;(rand()) / <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span>(RAND_MAX / 3)) + 1.f; });</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = inputWidth;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = inputHeight;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = inputChannels;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputBatchSize = inputBatchSize;</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; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth },</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</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; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth },</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</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="struct_layer_test_result.html">LayerTestResult&lt;float, 4&gt;</a> result(inputTensorInfo);</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; <span class="keyword">auto</span> input = MakeTensor&lt;float, 4&gt;(inputTensorInfo, inputData);</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; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_neon_workload_factory.html#a7239477811c44d4398f0c2d291d9ea76">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_neon_workload_factory.html#a7239477811c44d4398f0c2d291d9ea76">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="comment">// Setup bounded ReLu</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <a class="code" href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> workloadInfo;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get());</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; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<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="l00080"></a><span class="lineno"> 80</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> = upperBound;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = lowerBound;</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; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_neon_workload_factory.html#af5f7b0f6273c838b6b7d7de8447524f9">CreateActivation</a>(descriptor, workloadInfo);</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; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; outputHandle-&gt;Allocate();</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; <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;input[0][0][0][0]);</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; <a class="code" href="classarmnn_1_1_neon_timer.html">NeonTimer</a> neonTimer;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="comment">// Start the timer.</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; neonTimer.<a class="code" href="classarmnn_1_1_neon_timer.html#a156f3866ca69d98b4d9e6e1c1b3ec7da">Start</a>();</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="comment">// Execute the workload.</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="comment">// Stop the timer.</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; neonTimer.Stop();</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; std::vector&lt;Measurement&gt; measurements = neonTimer.GetMeasurements();</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(measurements.size() &lt;= 2);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">if</span> (measurements.size() &gt; 1)</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; BOOST_CHECK_EQUAL(measurements[0].m_Name, <span class="stringliteral">&quot;NeonKernelTimer/0: NEFillBorderKernel&quot;</span>);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(measurements[0].m_Value &gt; 0.0);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; std::ostringstream oss;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; oss &lt;&lt; <span class="stringliteral">&quot;NeonKernelTimer/&quot;</span> &lt;&lt; measurements.size()-1 &lt;&lt; <span class="stringliteral">&quot;: NEActivationLayerKernel&quot;</span>;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; BOOST_CHECK_EQUAL(measurements[measurements.size()-1].m_Name, oss.str());</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(measurements[measurements.size()-1].m_Value &gt; 0.0);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;}</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;<a class="code" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</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="_neon_timer_8hpp_html"><div class="ttname"><a href="_neon_timer_8hpp.html">NeonTimer.hpp</a></div></div>
<div class="ttc" id="_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
<div class="ttc" id="classarmnn_1_1_neon_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.html">armnn::NeonWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_factory_8hpp_source.html#l00018">NeonWorkloadFactory.hpp:18</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</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_a10d15f3df1ab52b3b915a4be1dbf386b"><div class="ttname"><a href="namespacearmnn.html#a10d15f3df1ab52b3b915a4be1dbf386b">armnn::BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(CheckConvolution2dLayer)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.html#l00170">ConstTensorLayerVisitor.cpp:170</a></div></div>
<div class="ttc" id="classarmnn_1_1_neon_timer_html_ad47edad463024345ce1409153c259215"><div class="ttname"><a href="classarmnn_1_1_neon_timer.html#ad47edad463024345ce1409153c259215">armnn::NeonTimer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_timer_8cpp_source.html#l00058">NeonTimer.cpp:58</a></div></div>
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<div class="ttc" id="_neon_workload_factory_helper_8hpp_html"><div class="ttname"><a href="_neon_workload_factory_helper_8hpp.html">NeonWorkloadFactoryHelper.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</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_neon_timer_html_a156f3866ca69d98b4d9e6e1c1b3ec7da"><div class="ttname"><a href="classarmnn_1_1_neon_timer.html#a156f3866ca69d98b4d9e6e1c1b3ec7da">armnn::NeonTimer::Start</a></div><div class="ttdeci">void Start() override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_timer_8cpp_source.html#l00021">NeonTimer.cpp:21</a></div></div>
<div class="ttc" id="classarmnn_1_1_neon_workload_factory_html_af5f7b0f6273c838b6b7d7de8447524f9"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.html#af5f7b0f6273c838b6b7d7de8447524f9">armnn::NeonWorkloadFactory::CreateActivation</a></div><div class="ttdeci">std::unique_ptr&lt; IWorkload &gt; CreateActivation(const ActivationQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_factory_8cpp_source.html#l00109">NeonWorkloadFactory.cpp:109</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="_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"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
<div class="ttc" id="_neon_workload_factory_8hpp_html"><div class="ttname"><a href="_neon_workload_factory_8hpp.html">NeonWorkloadFactory.hpp</a></div></div>
<div class="ttc" id="_workload_test_utils_8hpp_html"><div class="ttname"><a href="_workload_test_utils_8hpp.html">WorkloadTestUtils.hpp</a></div></div>
<div class="ttc" id="_profiler_tests_8cpp_html_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</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="_cpu_tensor_handle_8hpp_html"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.html">CpuTensorHandle.hpp</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="_output_shape_of_squeeze_8cpp_html_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div>
<div class="ttc" id="_layer_tests_8hpp_html"><div class="ttname"><a href="_layer_tests_8hpp.html">LayerTests.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_neon_timer_html"><div class="ttname"><a href="classarmnn_1_1_neon_timer.html">armnn::NeonTimer</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_timer_8hpp_source.html#l00021">NeonTimer.hpp:21</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8hpp_html"><div class="ttname"><a href="_tensor_copy_utils_8hpp.html">TensorCopyUtils.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_neon_workload_factory_html_a7239477811c44d4398f0c2d291d9ea76"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.html#a7239477811c44d4398f0c2d291d9ea76">armnn::NeonWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_factory_8cpp_source.html#l00075">NeonWorkloadFactory.cpp:75</a></div></div>
<div class="ttc" id="_tensor_helpers_8hpp_html"><div class="ttname"><a href="_tensor_helpers_8hpp.html">TensorHelpers.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00130">WorkloadData.hpp:130</a></div></div>
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