Gitiles
Code Review Sign In
review.mlplatform.org / ml / armnn / 36eed46563a2a254e674865eb8ede62a1558c997 / . / Documentation / _fake_quantization_test_impl_8cpp.html
blob: 6da4fb99b74600a4ff29ae80e15e0cdd2747c62a [file] [log] [blame]
Ryan OSheade36e4a2020-03-13 16:26:19 +0000[diff] [blame]1<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
2<html xmlns="http://www.w3.org/1999/xhtml">
3<head>
4<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
5<meta http-equiv="X-UA-Compatible" content="IE=9"/>
6<meta name="generator" content="Doxygen 1.8.13"/>
7<meta name="viewport" content="width=device-width, initial-scale=1"/>
8<title>ArmNN: src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp File Reference</title>
9<link href="tabs.css" rel="stylesheet" type="text/css"/>
10<script type="text/javascript" src="jquery.js"></script>
11<script type="text/javascript" src="dynsections.js"></script>
12<link href="navtree.css" rel="stylesheet" type="text/css"/>
13<script type="text/javascript" src="resize.js"></script>
14<script type="text/javascript" src="navtreedata.js"></script>
15<script type="text/javascript" src="navtree.js"></script>
16<script type="text/javascript">
17 $(document).ready(initResizable);
18</script>
19<link href="search/search.css" rel="stylesheet" type="text/css"/>
20<script type="text/javascript" src="search/searchdata.js"></script>
21<script type="text/javascript" src="search/search.js"></script>
22<link href="doxygen.css" rel="stylesheet" type="text/css" />
23</head>
24<body>
25<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
26<div id="titlearea">
27<table cellspacing="0" cellpadding="0">
28 <tbody>
29 <tr style="height: 56px;">
30 <td id="projectalign" style="padding-left: 0.5em;">
31 <div id="projectname">ArmNN
32 &#160;<span id="projectnumber">NotReleased</span>
33 </div>
34 </td>
35 </tr>
36 </tbody>
37</table>
38</div>
39<!-- end header part -->
40<!-- Generated by Doxygen 1.8.13 -->
41<script type="text/javascript">
42var searchBox = new SearchBox("searchBox", "search",false,'Search');
43</script>
44<script type="text/javascript" src="menudata.js"></script>
45<script type="text/javascript" src="menu.js"></script>
46<script type="text/javascript">
47$(function() {
48 initMenu('',true,false,'search.php','Search');
49 $(document).ready(function() { init_search(); });
50});
51</script>
52<div id="main-nav"></div>
53</div><!-- top -->
54<div id="side-nav" class="ui-resizable side-nav-resizable">
55 <div id="nav-tree">
56 <div id="nav-tree-contents">
57 <div id="nav-sync" class="sync"></div>
58 </div>
59 </div>
60 <div id="splitbar" style="-moz-user-select:none;"
61 class="ui-resizable-handle">
62 </div>
63</div>
64<script type="text/javascript">
65$(document).ready(function(){initNavTree('_fake_quantization_test_impl_8cpp.html','');});
66</script>
67<div id="doc-content">
68<!-- window showing the filter options -->
69<div id="MSearchSelectWindow"
70 onmouseover="return searchBox.OnSearchSelectShow()"
71 onmouseout="return searchBox.OnSearchSelectHide()"
72 onkeydown="return searchBox.OnSearchSelectKey(event)">
73</div>
74
75<!-- iframe showing the search results (closed by default) -->
76<div id="MSearchResultsWindow">
77<iframe src="javascript:void(0)" frameborder="0"
78 name="MSearchResults" id="MSearchResults">
79</iframe>
80</div>
81
82<div class="header">
83 <div class="summary">
84<a href="#func-members">Functions</a> </div>
85 <div class="headertitle">
86<div class="title">FakeQuantizationTestImpl.cpp File Reference</div> </div>
87</div><!--header-->
88<div class="contents">
89<div class="textblock"><code>#include &quot;<a class="el" href="_fake_quantization_test_impl_8hpp_source.html">FakeQuantizationTestImpl.hpp</a>&quot;</code><br />
90<code>#include &lt;<a class="el" href="_cpu_tensor_handle_8hpp_source.html">backendsCommon/CpuTensorHandle.hpp</a>&gt;</code><br />
91<code>#include &lt;<a class="el" href="_tensor_copy_utils_8hpp_source.html">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</code><br />
92<code>#include &lt;<a class="el" href="_workload_test_utils_8hpp_source.html">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</code><br />
93<code>#include &lt;<a class="el" href="_tensor_helpers_8hpp_source.html">test/TensorHelpers.hpp</a>&gt;</code><br />
94</div>
95<p><a href="_fake_quantization_test_impl_8cpp_source.html">Go to the source code of this file.</a></p>
96<table class="memberdecls">
97<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
98Functions</h2></td></tr>
99<tr class="memitem:a01bfe16b093483307fb23aaae0405a3a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_fake_quantization_test_impl_8cpp.html#a01bfe16b093483307fb23aaae0405a3a">FakeQuantizationTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
100<tr class="separator:a01bfe16b093483307fb23aaae0405a3a"><td class="memSeparator" colspan="2">&#160;</td></tr>
101</table>
102<h2 class="groupheader">Function Documentation</h2>
103<a id="a01bfe16b093483307fb23aaae0405a3a"></a>
104<h2 class="memtitle"><span class="permalink"><a href="#a01bfe16b093483307fb23aaae0405a3a">&#9670;&nbsp;</a></span>FakeQuantizationTest()</h2>
105
106<div class="memitem">
107<div class="memproto">
108 <table class="memname">
109 <tr>
110 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 2&gt; FakeQuantizationTest </td>
111 <td>(</td>
112 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
113 <td class="paramname"><em>workloadFactory</em>, </td>
114 </tr>
115 <tr>
116 <td class="paramkey"></td>
117 <td></td>
118 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
119 <td class="paramname"><em>memoryManager</em>&#160;</td>
120 </tr>
121 <tr>
122 <td></td>
123 <td>)</td>
124 <td></td><td></td>
125 </tr>
126 </table>
127</div><div class="memdoc">
128
129<p class="definition">Definition at line <a class="el" href="_fake_quantization_test_impl_8cpp_source.html#l00016">16</a> of file <a class="el" href="_fake_quantization_test_impl_8cpp_source.html">FakeQuantizationTestImpl.cpp</a>.</p>
130
131<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01196">IWorkloadFactory::CreateFakeQuantization()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.html#l00703">FakeQuantizationDescriptor::m_Max</a>, <a class="el" href="_descriptors_8hpp_source.html#l00701">FakeQuantizationDescriptor::m_Min</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult&lt; T, n &gt;::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>.</p>
132<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; boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 2;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 3;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> tensorInfo({height, width },</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keyword">auto</span> input = MakeTensor&lt;float, 2&gt;(tensorInfo, std::vector&lt;float&gt;({</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; -10.0f, -5.0f,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; 0.0f, 5.0f,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; 10.0f, 10.0f</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;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;float, 2&gt;</a> ret(tensorInfo);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(tensorInfo);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(tensorInfo);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <a class="code" href="structarmnn_1_1_fake_quantization_queue_descriptor.html">armnn::FakeQuantizationQueueDescriptor</a> data;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; AddInputToWorkload(data, info, tensorInfo, inputHandle.get());</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; AddOutputToWorkload(data, info, tensorInfo, outputHandle.get());</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; <span class="keywordtype">float</span> min = -10.f;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordtype">float</span> max = 10.f;</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; data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_fake_quantization_descriptor.html#a4c14a8e0d126891dd0c38e7584312bfd">m_Min</a> = min;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_fake_quantization_descriptor.html#ad3729c591f7bfda7ad9ef9927d8a1bd6">m_Max</a> = max;</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; <a class="code" href="classarmnn_1_1_passthrough_cpu_tensor_handle.html">armnn::PassthroughCpuTensorHandle</a> refHandle(tensorInfo, &amp;ret.outputExpected[0][0]);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <a class="code" href="structarmnn_1_1_fake_quantization_queue_descriptor.html">armnn::FakeQuantizationQueueDescriptor</a> refData = data;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> refInfo = info;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &amp;refHandle);</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; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a42581f3d1c22e64b7f3676ea20acab0e">CreateFakeQuantization</a>(data, info);</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; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; outputHandle-&gt;Allocate();</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="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;input[0][0]);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0], outputHandle.get());</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; ret.outputExpected = MakeTensor&lt;float, 2&gt;(tensorInfo, std::vector&lt;float&gt;({</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; 0.0f, 63.0f,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; 128.0f, 191.0f,</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; 255.0f, 255.0f</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; }));</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="keywordflow">return</span> ret;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;}</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>
133<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_html_ad3729c591f7bfda7ad9ef9927d8a1bd6"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.html#ad3729c591f7bfda7ad9ef9927d8a1bd6">armnn::FakeQuantizationDescriptor::m_Max</a></div><div class="ttdeci">float m_Max</div><div class="ttdoc">Maximum value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00703">Descriptors.hpp:703</a></div></div>
134<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
135<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>
136<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>
137<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
138<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
139<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
140<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>
141<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
142<div class="ttc" id="structarmnn_1_1_fake_quantization_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_queue_descriptor.html">armnn::FakeQuantizationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00297">WorkloadData.hpp:297</a></div></div>
143<div class="ttc" id="classarmnn_1_1_passthrough_cpu_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_passthrough_cpu_tensor_handle.html">armnn::PassthroughCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00138">CpuTensorHandle.hpp:138</a></div></div>
144<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_html_a4c14a8e0d126891dd0c38e7584312bfd"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.html#a4c14a8e0d126891dd0c38e7584312bfd">armnn::FakeQuantizationDescriptor::m_Min</a></div><div class="ttdeci">float m_Min</div><div class="ttdoc">Minimum value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00701">Descriptors.hpp:701</a></div></div>
145<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a42581f3d1c22e64b7f3676ea20acab0e"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a42581f3d1c22e64b7f3676ea20acab0e">armnn::IWorkloadFactory::CreateFakeQuantization</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateFakeQuantization(const FakeQuantizationQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01196">WorkloadFactory.cpp:1196</a></div></div>
146</div><!-- fragment -->
147</div>
148</div>
149</div><!-- contents -->
150</div><!-- doc-content -->
151<!-- start footer part -->
152<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
153 <ul>
154 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.html">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.html">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.html">layerTests</a></li><li class="navelem"><a class="el" href="_fake_quantization_test_impl_8cpp.html">FakeQuantizationTestImpl.cpp</a></li>
155 <li class="footer">Generated on Fri Mar 13 2020 16:07:00 for ArmNN by
156 <a href="http://www.doxygen.org/index.html">
157 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
158 </ul>
159</div>
160</body>
161</html>