1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
|
<!-- Copyright (c) 2020 ARM Limited. -->
<!-- -->
<!-- SPDX-License-Identifier: MIT -->
<!-- -->
<!-- HTML header for doxygen 1.8.13-->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.13"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<title>ArmNN: delegate/BuildGuideNative.md Source File</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtreedata.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
$(document).ready(initResizable);
</script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/searchdata.js"></script>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
extensions: ["tex2jax.js"],
jax: ["input/TeX","output/HTML-CSS"],
});
</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
<link href="stylesheet.css" rel="stylesheet" type="text/css"/>
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
<tbody>
<tr style="height: 56px;">
<img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/>
<td style="padding-left: 0.5em;">
<div id="projectname">
 <span id="projectnumber">22.08</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.13 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
<script type="text/javascript" src="menudata.js"></script>
<script type="text/javascript" src="menu.js"></script>
<script type="text/javascript">
$(function() {
initMenu('',true,false,'search.php','Search');
$(document).ready(function() { init_search(); });
});
</script>
<div id="main-nav"></div>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
<div id="nav-tree">
<div id="nav-tree-contents">
<div id="nav-sync" class="sync"></div>
</div>
</div>
<div id="splitbar" style="-moz-user-select:none;"
class="ui-resizable-handle">
</div>
</div>
<script type="text/javascript">
$(document).ready(function(){initNavTree('_build_guide_native_8md.xhtml','');});
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
onkeydown="return searchBox.OnSearchSelectKey(event)">
</div>
<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0"
name="MSearchResults" id="MSearchResults">
</iframe>
</div>
<div class="header">
<div class="headertitle">
<div class="title">delegate/BuildGuideNative.md</div> </div>
</div><!--header-->
<div class="contents">
<a href="_build_guide_native_8md.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> # Delegate Build Guide</div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> </div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> This guide assumes that Arm NN has been built with the Arm NN TF Lite Delegate with the [Arm NN Build Tool](../build-tool/README.md).<br></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> The Arm NN TF Lite Delegate can also be obtained from downloading the [Pre-Built Binaries on the GitHub homepage](../README.md).</div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> **Table of Contents:**</div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> - [Running DelegateUnitTests](#running-delegateunittests)</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> - [Run the TF Lite Benchmark Tool](#run-the-tflite-model-benchmark-tool)</div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>  - [Download the TFLite Model Benchmark Tool](#download-the-tflite-model-benchmark-tool)</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>  - [Execute the benchmarking tool with the Arm NN TF Lite Delegate](#execute-the-benchmarking-tool-with-the-arm-nn-tf-lite-delegate)</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> - [Integrate the Arm NN TfLite Delegate into your project](#integrate-the-arm-nn-tflite-delegate-into-your-project)</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> ## Running DelegateUnitTests</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> To ensure that the build was successful you can run the unit tests for the delegate that can be found in</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> the build directory for the delegate. [Doctest](https://github.com/onqtam/doctest) was used to create those tests. Using test filters you can</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> filter out tests that your build is not configured for. In this case, we run all test suites that have `CpuAcc` in their name.</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> ```bash</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> cd <PATH_TO_ARMNN_BUILD_DIRECTORY>/delegate/build</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> ./DelegateUnitTests --test-suite=*CpuAcc*</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> ```</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> If you have built for Gpu acceleration as well you might want to change your test-suite filter:</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> ```bash</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> ./DelegateUnitTests --test-suite=*CpuAcc*,*GpuAcc*</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> ```</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> ## Run the TFLite Model Benchmark Tool</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> The [TFLite Model Benchmark](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/tools/benchmark) Tool has a useful command line interface to test the TF Lite Delegate.</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> We can use this to demonstrate the use of the Arm NN TF Lite Delegate and its options.</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> Some examples of this can be viewed in this [YouTube demonstration](https://www.youtube.com/watch?v=NResQ1kbm-M&t=920s).</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> ### Download the TFLite Model Benchmark Tool</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> Binary builds of the benchmarking tool for various platforms are available [here](https://www.tensorflow.org/lite/performance/measurement#native_benchmark_binary). In this example I will target an aarch64 Linux environment. I will also download a sample uint8 tflite model from the [Arm ML Model Zoo](https://github.com/ARM-software/ML-zoo).</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> ```bash</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> mkdir $BASEDIR/benchmarking</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> cd $BASEDIR/benchmarking</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> # Get the benchmarking binary.</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> wget https://storage.googleapis.com/tensorflow-nightly-public/prod/tensorflow/release/lite/tools/nightly/latest/linux_aarch64_benchmark_model -O benchmark_model</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> # Make it executable.</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> chmod +x benchmark_model</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> # and a sample model from model zoo.</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> wget https://github.com/ARM-software/ML-zoo/blob/master/models/image_classification/mobilenet_v2_1.0_224/tflite_uint8/mobilenet_v2_1.0_224_quantized_1_default_1.tflite?raw=true -O mobilenet_v2_1.0_224_quantized_1_default_1.tflite</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> ```</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> ### Execute the benchmarking tool with the Arm NN TF Lite Delegate</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> You are already at $BASEDIR/benchmarking from the previous stage.</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> ```bash</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> LD_LIBRARY_PATH=<PATH_TO_ARMNN_BUILD_DIRECTORY> ./benchmark_model --graph=mobilenet_v2_1.0_224_quantized_1_default_1.tflite --external_delegate_path="<PATH_TO_ARMNN_BUILD_DIRECTORY>/delegate/libarmnnDelegate.so" --external_delegate_options="backends:CpuAcc;logging-severity:info"</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> ```</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> The "external_delegate_options" here are specific to the Arm NN delegate. They are used to specify a target Arm NN backend or to enable/disable various options in Arm NN. A full description can be found in the parameters of function tflite_plugin_create_delegate.</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> ## Integrate the Arm NN TfLite Delegate into your project</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> The delegate can be integrated into your c++ project by creating a TfLite Interpreter and</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> instructing it to use the Arm NN delegate for the graph execution. This should look similar</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> to the following code snippet.</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> ```objectivec</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> // Create TfLite Interpreter</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> std::unique_ptr<Interpreter> armnnDelegateInterpreter;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver())</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  (&armnnDelegateInterpreter)</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> // Create the Arm NN Delegate</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> armnnDelegate::DelegateOptions delegateOptions(backends);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> std::unique_ptr<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDelete)></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  theArmnnDelegate(armnnDelegate::TfLiteArmnnDelegateCreate(delegateOptions),</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  armnnDelegate::TfLiteArmnnDelegateDelete);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> // Instruct the Interpreter to use the armnnDelegate</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> armnnDelegateInterpreter->ModifyGraphWithDelegate(theArmnnDelegate.get());</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> ```</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> For further information on using TfLite Delegates please visit the [TensorFlow website](https://www.tensorflow.org/lite/guide).</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> For more details of the kind of options you can pass to the Arm NN delegate please check the parameters of function tflite_plugin_create_delegate.</div></div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="_build_guide_native_8md.xhtml">BuildGuideNative.md</a></li>
<li class="footer">Generated on Fri Aug 19 2022 14:38:25 for ArmNN by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
</ul>
</div>
</body>
</html>
|