arm_compute v18.01
[platform/upstream/armcl.git] / documentation / graph__lenet_8cpp_source.xhtml
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"/>
7 <meta name="generator" content="Doxygen 1.8.11"/>
8 <meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
9 <title>Compute Library: examples/graph_lenet.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>
15 <script type="text/javascript" src="navtreedata.js"></script>
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"/>
22 <script type="text/javascript" src="search/searchdata.js"></script>
23 <script type="text/javascript" src="search/search.js"></script>
24 <script type="text/javascript">
25   $(document).ready(function() { init_search(); });
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 });
32 </script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
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
43    &#160;<span id="projectnumber">18.01</span>
44    </div>
45   </td>
46  </tr>
47  </tbody>
48 </table>
49 </div>
50 <!-- end header part -->
51 <!-- Generated by Doxygen 1.8.11 -->
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&#160;Page</span></a></li>
58       <li><a href="pages.xhtml"><span>Related&#160;Pages</span></a></li>
59       <li><a href="namespaces.xhtml"><span>Namespaces</span></a></li>
60       <li><a href="annotated.xhtml"><span>Data&#160;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&#160;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__lenet_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)">
106 </div>
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_lenet.cpp</div>  </div>
118 </div><!--header-->
119 <div class="contents">
120 <a href="graph__lenet_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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017, 2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<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>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<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>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_graph_8h.xhtml">arm_compute/graph/Graph.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_nodes_8h.xhtml">arm_compute/graph/Nodes.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_toolchain_support_8h.xhtml">support/ToolchainSupport.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_graph_utils_8h.xhtml">utils/GraphUtils.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="utils_2_utils_8h.xhtml">utils/Utils.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &lt;cstdlib&gt;</span></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;<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="l00033"></a><span class="lineno">   33</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1graph.xhtml">arm_compute::graph</a>;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<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="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="keyword">class </span>GraphLenetExample : <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="l00042"></a><span class="lineno">   42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <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="l00045"></a><span class="lineno">   45</span>&#160;<span class="keyword">    </span>{</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;        std::string  data_path;   </div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;        <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batches = 4; </div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        <span class="comment">// Set target. 0 (NEON), 1 (OpenCL). By default it is NEON</span></div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;        <a class="code" href="namespacearm__compute_1_1graph.xhtml#a8d5e69e9a697c2007e241eb413c9833b">TargetHint</a> target_hint = <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a9216738b309b6b230b7ba8bca5ba7477">set_target_hint</a>(argc &gt; 1 ? std::strtol(argv[1], <span class="keyword">nullptr</span>, 10) : 0);</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;        <span class="comment">// Parse arguments</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;        <span class="keywordflow">if</span>(argc &lt; 2)</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        {</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;            <span class="comment">// Print help</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;            std::cout &lt;&lt; <span class="stringliteral">&quot;Usage: &quot;</span> &lt;&lt; argv[0] &lt;&lt; <span class="stringliteral">&quot; [target] [path_to_data] [batches]\n\n&quot;</span>;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;            std::cout &lt;&lt; <span class="stringliteral">&quot;No data folder provided: using random values\n\n&quot;</span>;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        }</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;        <span class="keywordflow">else</span> <span class="keywordflow">if</span>(argc == 2)</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        {</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;            std::cout &lt;&lt; <span class="stringliteral">&quot;Usage: &quot;</span> &lt;&lt; argv[0] &lt;&lt; <span class="stringliteral">&quot; &quot;</span> &lt;&lt; argv[1] &lt;&lt; <span class="stringliteral">&quot; [path_to_data] [batches]\n\n&quot;</span>;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;            std::cout &lt;&lt; <span class="stringliteral">&quot;No data folder provided: using random values\n\n&quot;</span>;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        }</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        <span class="keywordflow">else</span> <span class="keywordflow">if</span>(argc == 3)</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        {</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;            <span class="comment">//Do something with argv[1]</span></div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;            data_path = argv[2];</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;            std::cout &lt;&lt; <span class="stringliteral">&quot;Usage: &quot;</span> &lt;&lt; argv[0] &lt;&lt; <span class="stringliteral">&quot; [path_to_data] [batches]\n\n&quot;</span>;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;            std::cout &lt;&lt; <span class="stringliteral">&quot;No number of batches where specified, thus will use the default : &quot;</span> &lt;&lt; batches &lt;&lt; <span class="stringliteral">&quot;\n\n&quot;</span>;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        }</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        {</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;            <span class="comment">//Do something with argv[1] and argv[2]</span></div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;            data_path = argv[2];</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;            batches   = std::strtol(argv[3], <span class="keyword">nullptr</span>, 0);</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        }</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        <span class="comment">//conv1 &lt;&lt; pool1 &lt;&lt; conv2 &lt;&lt; pool2 &lt;&lt; fc1 &lt;&lt; act1 &lt;&lt; fc2 &lt;&lt; smx</span></div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;        graph &lt;&lt; target_hint</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;              &lt;&lt; <a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml">Tensor</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(28U, 28U, 1U, batches), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a>())</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;              &lt;&lt; <a class="code" href="classarm__compute_1_1graph_1_1_convolution_layer.xhtml">ConvolutionLayer</a>(</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;                  5U, 5U, 20U,</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;                  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a73a37a4970294106ed22e8f916ef3810">get_weights_accessor</a>(data_path, <span class="stringliteral">&quot;/cnn_data/lenet_model/conv1_w.npy&quot;</span>),</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;                  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a73a37a4970294106ed22e8f916ef3810">get_weights_accessor</a>(data_path, <span class="stringliteral">&quot;/cnn_data/lenet_model/conv1_b.npy&quot;</span>),</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;                  <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(1, 1, 0, 0))</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;              &lt;&lt; <a class="code" href="classarm__compute_1_1graph_1_1_pooling_layer.xhtml">PoolingLayer</a>(<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a>(<a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">PoolingType::MAX</a>, 2, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(2, 2, 0, 0)))</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;              &lt;&lt; <a class="code" href="classarm__compute_1_1graph_1_1_convolution_layer.xhtml">ConvolutionLayer</a>(</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                  5U, 5U, 50U,</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;                  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a73a37a4970294106ed22e8f916ef3810">get_weights_accessor</a>(data_path, <span class="stringliteral">&quot;/cnn_data/lenet_model/conv2_w.npy&quot;</span>),</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;                  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a73a37a4970294106ed22e8f916ef3810">get_weights_accessor</a>(data_path, <span class="stringliteral">&quot;/cnn_data/lenet_model/conv2_b.npy&quot;</span>),</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;                  <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(1, 1, 0, 0))</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;              &lt;&lt; <a class="code" href="classarm__compute_1_1graph_1_1_pooling_layer.xhtml">PoolingLayer</a>(<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a>(<a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">PoolingType::MAX</a>, 2, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(2, 2, 0, 0)))</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;              &lt;&lt; <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>(</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;                  500U,</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;                  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a73a37a4970294106ed22e8f916ef3810">get_weights_accessor</a>(data_path, <span class="stringliteral">&quot;/cnn_data/lenet_model/ip1_w.npy&quot;</span>),</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;                  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a73a37a4970294106ed22e8f916ef3810">get_weights_accessor</a>(data_path, <span class="stringliteral">&quot;/cnn_data/lenet_model/ip1_b.npy&quot;</span>))</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;              &lt;&lt; <a class="code" href="classarm__compute_1_1graph_1_1_activation_layer.xhtml">ActivationLayer</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>))</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;              &lt;&lt; <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>(</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;                  10U,</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;                  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a73a37a4970294106ed22e8f916ef3810">get_weights_accessor</a>(data_path, <span class="stringliteral">&quot;/cnn_data/lenet_model/ip2_w.npy&quot;</span>),</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;                  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a73a37a4970294106ed22e8f916ef3810">get_weights_accessor</a>(data_path, <span class="stringliteral">&quot;/cnn_data/lenet_model/ip2_b.npy&quot;</span>))</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;              &lt;&lt; <a class="code" href="classarm__compute_1_1graph_1_1_softmax_layer.xhtml">SoftmaxLayer</a>()</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;              &lt;&lt; <a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml">Tensor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a>());</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    }</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    <span class="keywordtype">void</span> do_run()<span class="keyword"> override</span></div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;<span class="keyword">    </span>{</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        <span class="comment">// Run graph</span></div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;        graph.run();</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    }</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    <a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> graph{};</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;};</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;</div><div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="graph__lenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">  120</a></span>&#160;<span class="keywordtype">int</span> <a class="code" href="graph__lenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;{</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    <span class="keywordflow">return</span> arm_compute::utils::run_example&lt;GraphLenetExample&gt;(argc, argv);</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00038">TensorShape.h:38</a></div></div>
121 <div class="ttc" id="classarm__compute_1_1graph_1_1_fully_connected_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fully_connected_layer.xhtml">arm_compute::graph::FullyConnectedLayer</a></div><div class="ttdoc">Fully connected layer node. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2nodes_2_fully_connected_layer_8h_source.xhtml#l00038">FullyConnectedLayer.h:38</a></div></div>
122 <div class="ttc" id="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div>
123 <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_dummy_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">arm_compute::graph_utils::DummyAccessor</a></div><div class="ttdoc">Dummy accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00063">GraphUtils.h:63</a></div></div>
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>
125 <div class="ttc" id="utils_2_utils_8h_xhtml"><div class="ttname"><a href="utils_2_utils_8h.xhtml">Utils.h</a></div></div>
126 <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>
127 <div class="ttc" id="_graph_8h_xhtml"><div class="ttname"><a href="_graph_8h.xhtml">Graph.h</a></div></div>
128 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00658">Types.h:658</a></div></div>
129 <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a9216738b309b6b230b7ba8bca5ba7477"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a9216738b309b6b230b7ba8bca5ba7477">arm_compute::graph_utils::set_target_hint</a></div><div class="ttdeci">graph::TargetHint 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#l00263">GraphUtils.h:263</a></div></div>
130 <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a73a37a4970294106ed22e8f916ef3810"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a73a37a4970294106ed22e8f916ef3810">arm_compute::graph_utils::get_weights_accessor</a></div><div class="ttdeci">std::unique_ptr&lt; graph::ITensorAccessor &gt; get_weights_accessor(const std::string &amp;path, const std::string &amp;data_file)</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#l00213">GraphUtils.h:213</a></div></div>
131 <div class="ttc" id="_graph_utils_8h_xhtml"><div class="ttname"><a href="_graph_utils_8h.xhtml">GraphUtils.h</a></div></div>
132 <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>
133 <div class="ttc" id="graph__lenet_8cpp_xhtml_a3c04138a5bfe5d72780bb7e82a18e627"><div class="ttname"><a href="graph__lenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a></div><div class="ttdeci">int main(int argc, char **argv)</div><div class="ttdoc">Main program for LeNet. </div><div class="ttdef"><b>Definition:</b> <a href="graph__lenet_8cpp_source.xhtml#l00120">graph_lenet.cpp:120</a></div></div>
134 <div class="ttc" id="namespacearm__compute_1_1graph_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml">arm_compute::graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_c_l_map_8h_source.xhtml#l00034">CLMap.h:34</a></div></div>
135 <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00468">Types.h:468</a></div></div>
136 <div class="ttc" id="classarm__compute_1_1graph_1_1_softmax_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_softmax_layer.xhtml">arm_compute::graph::SoftmaxLayer</a></div><div class="ttdoc">Softmax layer node. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2nodes_2_softmax_layer_8h_source.xhtml#l00036">SoftmaxLayer.h:36</a></div></div>
137 <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml">arm_compute::graph::Graph</a></div><div class="ttdoc">Graph class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8h_source.xhtml#l00043">Graph.h:43</a></div></div>
138 <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="utils_2_utils_8cpp_source.xhtml#l00033">Utils.cpp:33</a></div></div>
139 <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#l00038">GraphUtils.h:38</a></div></div>
140 <div class="ttc" id="classarm__compute_1_1graph_1_1_pooling_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_pooling_layer.xhtml">arm_compute::graph::PoolingLayer</a></div><div class="ttdoc">Pooling layer node. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2nodes_2_pooling_layer_8h_source.xhtml#l00037">PoolingLayer.h:37</a></div></div>
141 <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a8d5e69e9a697c2007e241eb413c9833b"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a8d5e69e9a697c2007e241eb413c9833b">arm_compute::graph::TargetHint</a></div><div class="ttdeci">TargetHint</div><div class="ttdoc">&lt; Execution hint to the graph executor </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00076">Types.h:76</a></div></div>
142 <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00044">TensorInfo.h:44</a></div></div>
143 <div class="ttc" id="classarm__compute_1_1graph_1_1_activation_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_activation_layer.xhtml">arm_compute::graph::ActivationLayer</a></div><div class="ttdoc">Activation Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2nodes_2_activation_layer_8h_source.xhtml#l00037">ActivationLayer.h:37</a></div></div>
144 <div class="ttc" id="_nodes_8h_xhtml"><div class="ttname"><a href="_nodes_8h.xhtml">Nodes.h</a></div></div>
145 <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>
146 <div class="ttc" id="classarm__compute_1_1graph_1_1_convolution_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_convolution_layer.xhtml">arm_compute::graph::ConvolutionLayer</a></div><div class="ttdoc">Convolution layer node. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2nodes_2_convolution_layer_8h_source.xhtml#l00042">ConvolutionLayer.h:42</a></div></div>
147 <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml">arm_compute::PoolingLayerInfo</a></div><div class="ttdoc">Pooling Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00561">Types.h:561</a></div></div>
148 <div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml">arm_compute::graph::Tensor</a></div><div class="ttdoc">Tensor class. </div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8h_source.xhtml#l00039">Tensor.h:39</a></div></div>
149 </div><!-- fragment --></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_d28a4824dc47e487b107a5db32ef43c4.xhtml">examples</a></li><li class="navelem"><a class="el" href="graph__lenet_8cpp.xhtml">graph_lenet.cpp</a></li>
155     <li class="footer">Generated on Wed Jan 24 2018 14:30:40 for Compute Library by
156     <a href="http://www.doxygen.org/index.html">
157     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
158   </ul>
159 </div>
160 </body>
161 </html>