| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 1 | <!-- HTML header for doxygen 1.8.9.1--> |
| 2 | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
| 3 | <html xmlns="http://www.w3.org/1999/xhtml"> |
| 4 | <head> |
| 5 | <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> |
| 6 | <meta http-equiv="X-UA-Compatible" content="IE=9"/> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 7 | <meta name="generator" content="Doxygen 1.8.11"/> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 8 | <meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines --> |
| 9 | <title>Compute Library: examples/graph_alexnet.cpp Source File</title> |
| 10 | <link href="tabs.css" rel="stylesheet" type="text/css"/> |
| 11 | <script type="text/javascript" src="jquery.js"></script> |
| 12 | <script type="text/javascript" src="dynsections.js"></script> |
| 13 | <link href="navtree.css" rel="stylesheet" type="text/css"/> |
| 14 | <script type="text/javascript" src="resize.js"></script> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 15 | <script type="text/javascript" src="navtreedata.js"></script> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 16 | <script type="text/javascript" src="navtree.js"></script> |
| 17 | <script type="text/javascript"> |
| 18 | $(document).ready(initResizable); |
| 19 | $(window).load(resizeHeight); |
| 20 | </script> |
| 21 | <link href="search/search.css" rel="stylesheet" type="text/css"/> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 22 | <script type="text/javascript" src="search/searchdata.js"></script> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 23 | <script type="text/javascript" src="search/search.js"></script> |
| 24 | <script type="text/javascript"> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 25 | $(document).ready(function() { init_search(); }); |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 26 | </script> |
| 27 | <script type="text/x-mathjax-config"> |
| 28 | MathJax.Hub.Config({ |
| 29 | extensions: ["tex2jax.js"], |
| 30 | jax: ["input/TeX","output/HTML-CSS"], |
| 31 | }); |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 32 | </script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 33 | <link href="doxygen.css" rel="stylesheet" type="text/css" /> |
| 34 | </head> |
| 35 | <body> |
| 36 | <div id="top"><!-- do not remove this div, it is closed by doxygen! --> |
| 37 | <div id="titlearea"> |
| 38 | <table cellspacing="0" cellpadding="0"> |
| 39 | <tbody> |
| 40 | <tr style="height: 56px;"> |
| 41 | <td style="padding-left: 0.5em;"> |
| 42 | <div id="projectname">Compute Library |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 43 |  <span id="projectnumber">18.05</span> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 44 | </div> |
| 45 | </td> |
| 46 | </tr> |
| 47 | </tbody> |
| 48 | </table> |
| 49 | </div> |
| 50 | <!-- end header part --> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 51 | <!-- Generated by Doxygen 1.8.11 --> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 52 | <script type="text/javascript"> |
| 53 | var searchBox = new SearchBox("searchBox", "search",false,'Search'); |
| 54 | </script> |
| 55 | <div id="navrow1" class="tabs"> |
| 56 | <ul class="tablist"> |
| 57 | <li><a href="index.xhtml"><span>Main Page</span></a></li> |
| 58 | <li><a href="pages.xhtml"><span>Related Pages</span></a></li> |
| 59 | <li><a href="namespaces.xhtml"><span>Namespaces</span></a></li> |
| 60 | <li><a href="annotated.xhtml"><span>Data Structures</span></a></li> |
| 61 | <li class="current"><a href="files.xhtml"><span>Files</span></a></li> |
| 62 | <li> |
| 63 | <div id="MSearchBox" class="MSearchBoxInactive"> |
| 64 | <span class="left"> |
| 65 | <img id="MSearchSelect" src="search/mag_sel.png" |
| 66 | onmouseover="return searchBox.OnSearchSelectShow()" |
| 67 | onmouseout="return searchBox.OnSearchSelectHide()" |
| 68 | alt=""/> |
| 69 | <input type="text" id="MSearchField" value="Search" accesskey="S" |
| 70 | onfocus="searchBox.OnSearchFieldFocus(true)" |
| 71 | onblur="searchBox.OnSearchFieldFocus(false)" |
| 72 | onkeyup="searchBox.OnSearchFieldChange(event)"/> |
| 73 | </span><span class="right"> |
| 74 | <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a> |
| 75 | </span> |
| 76 | </div> |
| 77 | </li> |
| 78 | </ul> |
| 79 | </div> |
| 80 | <div id="navrow2" class="tabs2"> |
| 81 | <ul class="tablist"> |
| 82 | <li><a href="files.xhtml"><span>File List</span></a></li> |
| 83 | <li><a href="globals.xhtml"><span>Globals</span></a></li> |
| 84 | </ul> |
| 85 | </div> |
| 86 | </div><!-- top --> |
| 87 | <div id="side-nav" class="ui-resizable side-nav-resizable"> |
| 88 | <div id="nav-tree"> |
| 89 | <div id="nav-tree-contents"> |
| 90 | <div id="nav-sync" class="sync"></div> |
| 91 | </div> |
| 92 | </div> |
| 93 | <div id="splitbar" style="-moz-user-select:none;" |
| 94 | class="ui-resizable-handle"> |
| 95 | </div> |
| 96 | </div> |
| 97 | <script type="text/javascript"> |
| 98 | $(document).ready(function(){initNavTree('graph__alexnet_8cpp_source.xhtml','');}); |
| 99 | </script> |
| 100 | <div id="doc-content"> |
| 101 | <!-- window showing the filter options --> |
| 102 | <div id="MSearchSelectWindow" |
| 103 | onmouseover="return searchBox.OnSearchSelectShow()" |
| 104 | onmouseout="return searchBox.OnSearchSelectHide()" |
| 105 | onkeydown="return searchBox.OnSearchSelectKey(event)"> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 106 | </div> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 107 | |
| 108 | <!-- iframe showing the search results (closed by default) --> |
| 109 | <div id="MSearchResultsWindow"> |
| 110 | <iframe src="javascript:void(0)" frameborder="0" |
| 111 | name="MSearchResults" id="MSearchResults"> |
| 112 | </iframe> |
| 113 | </div> |
| 114 | |
| 115 | <div class="header"> |
| 116 | <div class="headertitle"> |
| 117 | <div class="title">graph_alexnet.cpp</div> </div> |
| 118 | </div><!--header--> |
| 119 | <div class="contents"> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 120 | <a href="graph__alexnet_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="graph_8h.xhtml">arm_compute/graph.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="_toolchain_support_8h.xhtml">support/ToolchainSupport.h</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_graph_utils_8h.xhtml">utils/GraphUtils.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="utils_2_utils_8h.xhtml">utils/Utils.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <cstdlib></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <iostream></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <memory></span></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> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1utils.xhtml">arm_compute::utils</a>;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1graph_1_1frontend.xhtml">arm_compute::graph::frontend</a>;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1graph__utils.xhtml">arm_compute::graph_utils</a>;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">class </span>GraphAlexnetExample : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml">Example</a></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordtype">void</span> do_setup(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)<span class="keyword"> override</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  std::string data_path; <span class="comment">/* Path to the trainable data */</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  std::string image; <span class="comment">/* Image data */</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  std::string label; <span class="comment">/* Label data */</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="comment">// Create a preprocessor object</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> std::array<float, 3> mean_rgb{ { 122.68f, 116.67f, 104.01f } };</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  std::unique_ptr<IPreprocessor> preprocessor = arm_compute::support::cpp14::make_unique<CaffePreproccessor>(mean_rgb);</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>  <span class="comment">// Set target. 0 (NEON), 1 (OpenCL), 2 (OpenCL with Tuner). By default it is NEON</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> target = argc > 1 ? std::strtol(argv[1], <span class="keyword">nullptr</span>, 10) : 0;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">Target</a> target_hint = <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ab6dc388200717b5fae17342af13f5e41">set_target_hint</a>(target);</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>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_neon = (target_hint == Target::NEON);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517d">ConvolutionMethod</a> convolution_5x5_hint = is_neon ? <a class="code" href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3">ConvolutionMethod::GEMM</a> : <a class="code" href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517da4c5d06b02c97731aaa976179c62dcf76">ConvolutionMethod::DIRECT</a>;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517d">ConvolutionMethod</a> convolution_3x3_hint = ConvolutionMethod::DEFAULT;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11">FastMathHint</a> fast_math_hint = FastMathHint::DISABLED;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="comment">// Parse arguments</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">if</span>(argc < 2)</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// Print help</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  std::cout << <span class="stringliteral">"Usage: "</span> << argv[0] << <span class="stringliteral">" [target] [path_to_data] [image] [labels] [fast_math_hint]\n\n"</span>;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  std::cout << <span class="stringliteral">"No data folder provided: using random values\n\n"</span>;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  }</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(argc == 2)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  std::cout << <span class="stringliteral">"Usage: "</span> << argv[0] << <span class="stringliteral">" "</span> << argv[1] << <span class="stringliteral">" [path_to_data] [image] [labels] [fast_math_hint]\n\n"</span>;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  std::cout << <span class="stringliteral">"No data folder provided: using random values\n\n"</span>;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(argc == 3)</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>  data_path = argv[2];</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  std::cout << <span class="stringliteral">"Usage: "</span> << argv[0] << <span class="stringliteral">" "</span> << argv[1] << <span class="stringliteral">" "</span> << argv[2] << <span class="stringliteral">" [image] [labels] [fast_math_hint]\n\n"</span>;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  std::cout << <span class="stringliteral">"No image provided: using random values\n\n"</span>;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(argc == 4)</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  data_path = argv[2];</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  image = argv[3];</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  std::cout << <span class="stringliteral">"Usage: "</span> << argv[0] << <span class="stringliteral">" "</span> << argv[1] << <span class="stringliteral">" "</span> << argv[2] << <span class="stringliteral">" "</span> << argv[3] << <span class="stringliteral">" [labels] [fast_math_hint]\n\n"</span>;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  std::cout << <span class="stringliteral">"No text file with labels provided: skipping output accessor\n\n"</span>;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  }</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(argc == 5)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  data_path = argv[2];</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  image = argv[3];</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  label = argv[4];</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  std::cout << <span class="stringliteral">"Usage: "</span> << argv[0] << <span class="stringliteral">" "</span> << argv[1] << <span class="stringliteral">" "</span> << argv[2] << <span class="stringliteral">" "</span> << argv[3] << <span class="stringliteral">" "</span> << argv[4] << <span class="stringliteral">" [fast_math_hint]\n\n"</span>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  std::cout << <span class="stringliteral">"No fast math info provided: disabling fast math\n\n"</span>;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  }</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  data_path = argv[2];</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  image = argv[3];</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  label = argv[4];</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  fast_math_hint = (std::strtol(argv[5], <span class="keyword">nullptr</span>, 1) == 0) ? FastMathHint::DISABLED : FastMathHint::ENABLED;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  graph << target_hint</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  << fast_math_hint</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml">InputLayer</a>(TensorDescriptor(TensorShape(227U, 227U, 3U, 1U), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a9984cc47279cdb732b7b83caf0627de6">get_input_accessor</a>(image, std::move(preprocessor)))</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// Layer 1</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml">ConvolutionLayer</a>(</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  11U, 11U, 96U,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/conv1_w.npy"</span>),</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/conv1_b.npy"</span>),</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  PadStrideInfo(4, 4, 0, 0))</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"conv1"</span>)</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>)).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"relu1"</span>)</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml">NormalizationLayer</a>(NormalizationLayerInfo(<a class="code" href="namespacearm__compute.xhtml#ad4bb8dabdbf8ad75e34220cc666b59caa980fef040549733973683b1a868f96e5">NormType::CROSS_MAP</a>, 5, 0.0001f, 0.75f)).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"norm1"</span>)</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_pooling_layer.xhtml">PoolingLayer</a>(PoolingLayerInfo(<a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">PoolingType::MAX</a>, 3, PadStrideInfo(2, 2, 0, 0))).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"pool1"</span>)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="comment">// Layer 2</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  << convolution_5x5_hint</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml">ConvolutionLayer</a>(</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  5U, 5U, 256U,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/conv2_w.npy"</span>),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/conv2_b.npy"</span>),</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  PadStrideInfo(1, 1, 2, 2), 2)</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"conv2"</span>)</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>)).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"relu2"</span>)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml">NormalizationLayer</a>(NormalizationLayerInfo(<a class="code" href="namespacearm__compute.xhtml#ad4bb8dabdbf8ad75e34220cc666b59caa980fef040549733973683b1a868f96e5">NormType::CROSS_MAP</a>, 5, 0.0001f, 0.75f)).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"norm2"</span>)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_pooling_layer.xhtml">PoolingLayer</a>(PoolingLayerInfo(<a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">PoolingType::MAX</a>, 3, PadStrideInfo(2, 2, 0, 0))).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"pool2"</span>)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  << convolution_3x3_hint</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">// Layer 3</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml">ConvolutionLayer</a>(</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  3U, 3U, 384U,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/conv3_w.npy"</span>),</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/conv3_b.npy"</span>),</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  PadStrideInfo(1, 1, 1, 1))</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"conv3"</span>)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>)).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"relu3"</span>)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// Layer 4</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml">ConvolutionLayer</a>(</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  3U, 3U, 384U,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/conv4_w.npy"</span>),</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/conv4_b.npy"</span>),</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  PadStrideInfo(1, 1, 1, 1), 2)</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"conv4"</span>)</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>)).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"relu4"</span>)</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">// Layer 5</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml">ConvolutionLayer</a>(</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  3U, 3U, 256U,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/conv5_w.npy"</span>),</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/conv5_b.npy"</span>),</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  PadStrideInfo(1, 1, 1, 1), 2)</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"conv5"</span>)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>)).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"relu5"</span>)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_pooling_layer.xhtml">PoolingLayer</a>(PoolingLayerInfo(<a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">PoolingType::MAX</a>, 3, PadStrideInfo(2, 2, 0, 0))).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"pool5"</span>)</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="comment">// Layer 6</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>(</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  4096U,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/fc6_w.npy"</span>),</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/fc6_b.npy"</span>))</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"fc6"</span>)</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>)).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"relu6"</span>)</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// Layer 7</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>(</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  4096U,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/fc7_w.npy"</span>),</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/fc7_b.npy"</span>))</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"fc7"</span>)</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">ActivationLayer</a>(ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>)).<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"relu7"</span>)</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="comment">// Layer 8</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>(</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  1000U,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/fc8_w.npy"</span>),</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(data_path, <span class="stringliteral">"/cnn_data/alexnet_model/fc8_b.npy"</span>))</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  .<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"fc8"</span>)</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// Softmax</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer.xhtml">SoftmaxLayer</a>().<a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">set_name</a>(<span class="stringliteral">"prob"</span>)</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  << <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_output_layer.xhtml">OutputLayer</a>(<a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#aaf0c8eff756108c8bb23aecf51d44f79">get_output_accessor</a>(label, 5));</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// Finalize graph</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  GraphConfig config;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  config.use_tuner = (target == 2);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  graph.finalize(target_hint, config);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  }</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordtype">void</span> do_run()<span class="keyword"> override</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="comment">// Run graph</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  graph.run();</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  }</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml">Stream</a> graph{ 0, <span class="stringliteral">"AlexNet"</span> };</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> };</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="graph__alexnet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627"> 200</a></span> <span class="keywordtype">int</span> <a class="code" href="graph__alexnet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">return</span> arm_compute::utils::run_example<GraphAlexnetExample>(argc, argv);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> }</div><div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_pooling_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_pooling_layer.xhtml">arm_compute::graph::frontend::PoolingLayer</a></div><div class="ttdoc">Pooling Layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00336">Layers.h:336</a></div></div> |
| 121 | <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_ab6dc388200717b5fae17342af13f5e41"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#ab6dc388200717b5fae17342af13f5e41">arm_compute::graph_utils::set_target_hint</a></div><div class="ttdeci">graph::Target set_target_hint(int target)</div><div class="ttdoc">Utility function to return the TargetHint. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00370">GraphUtils.h:370</a></div></div> |
| 122 | <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml">arm_compute::graph::frontend::NormalizationLayer</a></div><div class="ttdoc">Normalization Layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00312">Layers.h:312</a></div></div> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 123 | <div class="ttc" id="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 124 | <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">arm_compute::ActivationLayerInfo::ActivationFunction::RELU</a></div><div class="ttdoc">Rectifier ( ) </div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 125 | <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_aaf0c8eff756108c8bb23aecf51d44f79"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#aaf0c8eff756108c8bb23aecf51d44f79">arm_compute::graph_utils::get_output_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_output_accessor(const std::string &labels_path, size_t top_n=5, std::ostream &output_stream=std::cout)</div><div class="ttdoc">Generates appropriate output accessor according to the specified labels_path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00330">GraphUtils.h:330</a></div></div> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 126 | <div class="ttc" id="utils_2_utils_8h_xhtml"><div class="ttname"><a href="utils_2_utils_8h.xhtml">Utils.h</a></div></div> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 127 | <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel </div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 128 | <div class="ttc" id="namespacearm__compute_xhtml_a683661ae75dcb7aef16b9c9bde31517d"><div class="ttname"><a href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517d">arm_compute::ConvolutionMethod</a></div><div class="ttdeci">ConvolutionMethod</div><div class="ttdoc">Available ConvolutionMethod. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01220">Types.h:1220</a></div></div> |
| 129 | <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_input_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml">arm_compute::graph::frontend::InputLayer</a></div><div class="ttdoc">Input Layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00045">Layers.h:45</a></div></div> |
| Anthony Barbier | 06ea048 | 2018-02-22 15:45:35 +0000 | [diff] [blame] | 130 | <div class="ttc" id="namespacearm__compute_xhtml_a683661ae75dcb7aef16b9c9bde31517da4c5d06b02c97731aaa976179c62dcf76"><div class="ttname"><a href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517da4c5d06b02c97731aaa976179c62dcf76">arm_compute::ConvolutionMethod::DIRECT</a></div><div class="ttdoc">Direct convolution. </div></div> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 131 | <div class="ttc" id="_graph_utils_8h_xhtml"><div class="ttname"><a href="_graph_utils_8h.xhtml">GraphUtils.h</a></div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 132 | <div class="ttc" id="graph_8h_xhtml"><div class="ttname"><a href="graph_8h.xhtml">graph.h</a></div></div> |
| Anthony Barbier | f45d5a9 | 2018-01-24 16:23:15 +0000 | [diff] [blame] | 133 | <div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml">arm_compute::utils::Example</a></div><div class="ttdoc">Abstract Example class. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00062">Utils.h:62</a></div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 134 | <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a9984cc47279cdb732b7b83caf0627de6"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a9984cc47279cdb732b7b83caf0627de6">arm_compute::graph_utils::get_input_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_input_accessor(const std::string &ppm_path, std::unique_ptr< IPreprocessor > preprocessor=nullptr, bool bgr=true)</div><div class="ttdoc">Generates appropriate input accessor according to the specified ppm_path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00299">GraphUtils.h:299</a></div></div> |
| 135 | <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml">arm_compute::graph::frontend::ActivationLayer</a></div><div class="ttdoc">Activation Layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00094">Layers.h:94</a></div></div> |
| 136 | <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35d"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">arm_compute::graph::Target</a></div><div class="ttdeci">Target</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00084">Types.h:84</a></div></div> |
| 137 | <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml">arm_compute::graph::frontend::ConvolutionLayer</a></div><div class="ttdoc">Convolution Layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00158">Layers.h:158</a></div></div> |
| 138 | <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_ac85a46f3ebd3ab09f576a994ac2dce11"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11">arm_compute::graph::FastMathHint</a></div><div class="ttdeci">FastMathHint</div><div class="ttdoc">Enable or disable fast math for Convolution layer. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00118">Types.h:118</a></div></div> |
| 139 | <div class="ttc" id="namespacearm__compute_1_1utils_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml">arm_compute::utils</a></div><div class="ttdef"><b>Definition:</b> <a href="_cast_8h_source.xhtml#l00031">Cast.h:31</a></div></div> |
| 140 | <div class="ttc" id="graph__alexnet_8cpp_xhtml_a3c04138a5bfe5d72780bb7e82a18e627"><div class="ttname"><a href="graph__alexnet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a></div><div class="ttdeci">int main(int argc, char **argv)</div><div class="ttdoc">Main program for AlexNet. </div><div class="ttdef"><b>Definition:</b> <a href="graph__alexnet_8cpp_source.xhtml#l00200">graph_alexnet.cpp:200</a></div></div> |
| 141 | <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml">arm_compute::graph_utils</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00041">GraphUtils.h:41</a></div></div> |
| 142 | <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer.xhtml">arm_compute::graph::frontend::SoftmaxLayer</a></div><div class="ttdoc">Softmax Layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00411">Layers.h:411</a></div></div> |
| 143 | <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_output_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_output_layer.xhtml">arm_compute::graph::frontend::OutputLayer</a></div><div class="ttdoc">Output Layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00070">Layers.h:70</a></div></div> |
| 144 | <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">arm_compute::graph::frontend::FullyConnectedLayer</a></div><div class="ttdoc">Fully Connected Layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00281">Layers.h:281</a></div></div> |
| 145 | <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a30bee0b52a919bbcb1dc48b1b6546a16"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">arm_compute::graph_utils::get_weights_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_weights_accessor(const std::string &path, const std::string &data_file, DataLayout file_layout=DataLayout::NCHW)</div><div class="ttdoc">Generates appropriate weights accessor according to the specified path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00275">GraphUtils.h:275</a></div></div> |
| 146 | <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_stream_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml">arm_compute::graph::frontend::Stream</a></div><div class="ttdoc">Stream frontend class to construct simple graphs in a stream fashion. </div><div class="ttdef"><b>Definition:</b> <a href="_stream_8h_source.xhtml#l00045">Stream.h:45</a></div></div> |
| 147 | <div class="ttc" id="namespacearm__compute_1_1graph_1_1frontend_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1frontend.xhtml">arm_compute::graph::frontend</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_8h_source.xhtml#l00031">ILayer.h:31</a></div></div> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 148 | <div class="ttc" id="namespacearm__compute_xhtml_adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5"><div class="ttname"><a href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">arm_compute::NonLinearFilterFunction::MAX</a></div><div class="ttdoc">Non linear dilate. </div></div> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 149 | <div class="ttc" id="namespacearm__compute_xhtml_ad4bb8dabdbf8ad75e34220cc666b59caa980fef040549733973683b1a868f96e5"><div class="ttname"><a href="namespacearm__compute.xhtml#ad4bb8dabdbf8ad75e34220cc666b59caa980fef040549733973683b1a868f96e5">arm_compute::NormType::CROSS_MAP</a></div><div class="ttdoc">Normalization applied cross maps. </div></div> |
| Anthony Barbier | 06ea048 | 2018-02-22 15:45:35 +0000 | [diff] [blame] | 150 | <div class="ttc" id="namespacearm__compute_xhtml_a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3"><div class="ttname"><a href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3">arm_compute::ConvolutionMethod::GEMM</a></div><div class="ttdoc">Convolution using GEMM. </div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 151 | <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_i_layer_xhtml_af664a2598e05f8de28fb9f94e3902886"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886">arm_compute::graph::frontend::ILayer::set_name</a></div><div class="ttdeci">ILayer & set_name(std::string name)</div><div class="ttdoc">Sets the name of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_8h_source.xhtml#l00055">ILayer.h:55</a></div></div> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 152 | </div><!-- fragment --></div><!-- contents --> |
| 153 | </div><!-- doc-content --> |
| 154 | <!-- start footer part --> |
| 155 | <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| 156 | <ul> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 157 | <li class="navelem"><a class="el" href="dir_d28a4824dc47e487b107a5db32ef43c4.xhtml">examples</a></li><li class="navelem"><a class="el" href="graph__alexnet_8cpp.xhtml">graph_alexnet.cpp</a></li> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 158 | <li class="footer">Generated on Wed May 23 2018 11:36:36 for Compute Library by |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 159 | <a href="http://www.doxygen.org/index.html"> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 160 | <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li> |
| Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 161 | </ul> |
| 162 | </div> |
| 163 | </body> |
| 164 | </html> |