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100<div class="title">NeonTimerTest.cpp File Reference</div> </div>
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102<div class="contents">
103<div class="textblock"><code>#include &quot;<a class="el" href="_neon_workload_factory_helper_8hpp_source.xhtml">NeonWorkloadFactoryHelper.hpp</a>&quot;</code><br />
104<code>#include &lt;<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>&gt;</code><br />
105<code>#include &lt;<a class="el" href="_cpu_tensor_handle_8hpp_source.xhtml">backendsCommon/CpuTensorHandle.hpp</a>&gt;</code><br />
106<code>#include &lt;<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>&gt;</code><br />
107<code>#include &lt;<a class="el" href="_neon_timer_8hpp_source.xhtml">neon/NeonTimer.hpp</a>&gt;</code><br />
108<code>#include &lt;<a class="el" href="_neon_workload_factory_8hpp_source.xhtml">neon/NeonWorkloadFactory.hpp</a>&gt;</code><br />
109<code>#include &lt;<a class="el" href="_layer_tests_8hpp_source.xhtml">backendsCommon/test/LayerTests.hpp</a>&gt;</code><br />
110<code>#include &lt;<a class="el" href="_tensor_copy_utils_8hpp_source.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</code><br />
111<code>#include &lt;<a class="el" href="_workload_test_utils_8hpp_source.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</code><br />
112<code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
113<code>#include &lt;cstdlib&gt;</code><br />
114<code>#include &lt;algorithm&gt;</code><br />
115</div>
116<p><a href="_neon_timer_test_8cpp_source.xhtml">Go to the source code of this file.</a></p>
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119Functions</h2></td></tr>
120<tr class="memitem:a8ae6df7cb9d9f3d8bc13af5ce82a37f0"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_neon_timer_test_8cpp.xhtml#a8ae6df7cb9d9f3d8bc13af5ce82a37f0">BOOST_AUTO_TEST_CASE</a> (NeonTimerGetName)</td></tr>
121<tr class="separator:a8ae6df7cb9d9f3d8bc13af5ce82a37f0"><td class="memSeparator" colspan="2">&#160;</td></tr>
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123<tr class="separator:a18451c8c83674aba54b8882d56ebe03e"><td class="memSeparator" colspan="2">&#160;</td></tr>
124</table>
125<h2 class="groupheader">Function Documentation</h2>
126<a id="a8ae6df7cb9d9f3d8bc13af5ce82a37f0"></a>
127<h2 class="memtitle"><span class="permalink"><a href="#a8ae6df7cb9d9f3d8bc13af5ce82a37f0">&#9670;&nbsp;</a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[1/2]</span></h2>
128
129<div class="memitem">
130<div class="memproto">
131 <table class="memname">
132 <tr>
133 <td class="memname">BOOST_AUTO_TEST_CASE </td>
134 <td>(</td>
135 <td class="paramtype">NeonTimerGetName&#160;</td>
136 <td class="paramname"></td><td>)</td>
137 <td></td>
138 </tr>
139 </table>
140</div><div class="memdoc">
141
142<p class="definition">Definition at line <a class="el" href="_neon_timer_test_8cpp_source.xhtml#l00031">31</a> of file <a class="el" href="_neon_timer_test_8cpp_source.xhtml">NeonTimerTest.cpp</a>.</p>
143
144<p class="reference">References <a class="el" href="_neon_timer_8cpp_source.xhtml#l00057">NeonTimer::GetName()</a>.</p>
145<div class="fragment"><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.xhtml">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.xhtml#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="ttc" id="classarmnn_1_1_neon_timer_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_timer.xhtml">armnn::NeonTimer</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_timer_8hpp_source.xhtml#l00021">NeonTimer.hpp:21</a></div></div>
146<div class="ttc" id="classarmnn_1_1_neon_timer_xhtml_ad47edad463024345ce1409153c259215"><div class="ttname"><a href="classarmnn_1_1_neon_timer.xhtml#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.xhtml#l00057">NeonTimer.cpp:57</a></div></div>
147</div><!-- fragment -->
148</div>
149</div>
150<a id="a18451c8c83674aba54b8882d56ebe03e"></a>
151<h2 class="memtitle"><span class="permalink"><a href="#a18451c8c83674aba54b8882d56ebe03e">&#9670;&nbsp;</a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[2/2]</span></h2>
152
153<div class="memitem">
154<div class="memproto">
155 <table class="memname">
156 <tr>
157 <td class="memname">BOOST_AUTO_TEST_CASE </td>
158 <td>(</td>
159 <td class="paramtype">NeonTimerMeasure&#160;</td>
160 <td class="paramname"></td><td>)</td>
161 <td></td>
162 </tr>
163 </table>
164</div><div class="memdoc">
165
166<p class="definition">Definition at line <a class="el" href="_neon_timer_test_8cpp_source.xhtml#l00037">37</a> of file <a class="el" href="_neon_timer_test_8cpp_source.xhtml">NeonTimerTest.cpp</a>.</p>
167
168<p class="reference">References <a class="el" href="_deprecated_8hpp_source.xhtml#l00033">ARMNN_NO_DEPRECATE_WARN_BEGIN</a>, <a class="el" href="_deprecated_8hpp_source.xhtml#l00034">ARMNN_NO_DEPRECATE_WARN_END</a>, <a class="el" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00145">NeonWorkloadFactory::CreateActivation()</a>, <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00111">NeonWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="_neon_timer_8cpp_source.xhtml#l00020">NeonTimer::Start()</a>.</p>
169<div class="fragment"><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.xhtml">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.xhtml">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.xhtml#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.xhtml">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.xhtml#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.xhtml">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; <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_neon_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_neon_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></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; <span class="comment">// Setup bounded ReLu</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <a class="code" href="structarmnn_1_1_activation_queue_descriptor.xhtml">armnn::ActivationQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> workloadInfo;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; descriptor.m_Parameters.m_Function = <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; descriptor.m_Parameters.m_A = upperBound;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; descriptor.m_Parameters.m_B = lowerBound;</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; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_neon_workload_factory.xhtml#af5f7b0f6273c838b6b7d7de8447524f9">CreateActivation</a>(descriptor, workloadInfo);</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; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; outputHandle-&gt;Allocate();</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="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;input[0][0][0][0]);</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; <a class="code" href="classarmnn_1_1_neon_timer.xhtml">NeonTimer</a> neonTimer;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="comment">// Start the timer.</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; neonTimer.<a class="code" href="classarmnn_1_1_neon_timer.xhtml#a156f3866ca69d98b4d9e6e1c1b3ec7da">Start</a>();</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="comment">// Execute the workload.</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="comment">// Stop the timer.</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; neonTimer.Stop();</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; std::vector&lt;Measurement&gt; measurements = neonTimer.GetMeasurements();</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; BOOST_CHECK(measurements.size() &lt;= 2);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordflow">if</span> (measurements.size() &gt; 1)</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; BOOST_CHECK_EQUAL(measurements[0].m_Name, <span class="stringliteral">&quot;NeonKernelTimer/0: NEFillBorderKernel&quot;</span>);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; BOOST_CHECK(measurements[0].m_Value &gt; 0.0);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; std::ostringstream oss_neon;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; std::ostringstream oss_cpu;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; oss_neon &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="l00111"></a><span class="lineno"> 111</span>&#160; oss_cpu &lt;&lt; <span class="stringliteral">&quot;NeonKernelTimer/&quot;</span> &lt;&lt; measurements.size()-1 &lt;&lt; <span class="stringliteral">&quot;: CpuActivationKernel&quot;</span>;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; BOOST_CHECK(measurements[measurements.size()-1].m_Name == oss_neon.str() ||</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; measurements[measurements.size()-1].m_Name == oss_cpu.str());</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; BOOST_CHECK(measurements[measurements.size()-1].m_Value &gt; 0.0);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_neon_timer_xhtml_a156f3866ca69d98b4d9e6e1c1b3ec7da"><div class="ttname"><a href="classarmnn_1_1_neon_timer.xhtml#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.xhtml#l00020">NeonTimer.cpp:20</a></div></div>
170<div class="ttc" id="_deprecated_8hpp_xhtml_ab66a241a0ed3ee89c866e777b035d0ed"><div class="ttname"><a href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_BEGIN</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00033">Deprecated.hpp:33</a></div></div>
171<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>
172<div class="ttc" id="classarmnn_1_1_neon_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.xhtml">armnn::NeonWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_factory_8hpp_source.xhtml#l00020">NeonWorkloadFactory.hpp:20</a></div></div>
173<div class="ttc" id="classarmnn_1_1_neon_timer_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_timer.xhtml">armnn::NeonTimer</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_timer_8hpp_source.xhtml#l00021">NeonTimer.hpp:21</a></div></div>
174<div class="ttc" id="_deprecated_8hpp_xhtml_ad762b11b48e5c1d1c1743f529485728a"><div class="ttname"><a href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_END</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00034">Deprecated.hpp:34</a></div></div>
175<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 &amp; ReLu6. </div></div>
176<div class="ttc" id="classarmnn_1_1_neon_workload_factory_xhtml_af5f7b0f6273c838b6b7d7de8447524f9"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.xhtml#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.xhtml#l00145">NeonWorkloadFactory.cpp:145</a></div></div>
177<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
178<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
179<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00030">LayerTestResult.hpp:30</a></div></div>
180<div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.xhtml">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00148">WorkloadData.hpp:148</a></div></div>
181<div class="ttc" id="classarmnn_1_1_neon_workload_factory_xhtml_a7239477811c44d4398f0c2d291d9ea76"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.xhtml#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.xhtml#l00111">NeonWorkloadFactory.cpp:111</a></div></div>
182<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#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.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
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191 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_d86eb514662c7c08e168285f21d00ea1.xhtml">neon</a></li><li class="navelem"><a class="el" href="dir_c3e37ff99b1c352c48e2670d743526e1.xhtml">test</a></li><li class="navelem"><a class="el" href="_neon_timer_test_8cpp.xhtml">NeonTimerTest.cpp</a></li>
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194 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
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