| <!-- HTML header for doxygen 1.8.9.1--> |
| <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
| <html xmlns="http://www.w3.org/1999/xhtml"> |
| <head> |
| <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> |
| <meta http-equiv="X-UA-Compatible" content="IE=9"/> |
| <meta name="generator" content="Doxygen 1.8.11"/> |
| <meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines --> |
| <title>Compute Library: tests/benchmark/common/ConvolutionLayer.h Source File</title> |
| <link href="tabs.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="jquery.js"></script> |
| <script type="text/javascript" src="dynsections.js"></script> |
| <link href="navtree.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="resize.js"></script> |
| <script type="text/javascript" src="navtreedata.js"></script> |
| <script type="text/javascript" src="navtree.js"></script> |
| <script type="text/javascript"> |
| $(document).ready(initResizable); |
| $(window).load(resizeHeight); |
| </script> |
| <link href="search/search.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="search/searchdata.js"></script> |
| <script type="text/javascript" src="search/search.js"></script> |
| <script type="text/javascript"> |
| $(document).ready(function() { init_search(); }); |
| </script> |
| <script type="text/x-mathjax-config"> |
| MathJax.Hub.Config({ |
| extensions: ["tex2jax.js"], |
| jax: ["input/TeX","output/HTML-CSS"], |
| }); |
| </script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> |
| <link href="doxygen.css" rel="stylesheet" type="text/css" /> |
| </head> |
| <body> |
| <div id="top"><!-- do not remove this div, it is closed by doxygen! --> |
| <div id="titlearea"> |
| <table cellspacing="0" cellpadding="0"> |
| <tbody> |
| <tr style="height: 56px;"> |
| <td style="padding-left: 0.5em;"> |
| <div id="projectname">Compute Library |
|  <span id="projectnumber">v17.06</span> |
| </div> |
| </td> |
| </tr> |
| </tbody> |
| </table> |
| </div> |
| <!-- end header part --> |
| <!-- Generated by Doxygen 1.8.11 --> |
| <script type="text/javascript"> |
| var searchBox = new SearchBox("searchBox", "search",false,'Search'); |
| </script> |
| <div id="navrow1" class="tabs"> |
| <ul class="tablist"> |
| <li><a href="index.xhtml"><span>Main Page</span></a></li> |
| <li><a href="pages.xhtml"><span>Related Pages</span></a></li> |
| <li><a href="namespaces.xhtml"><span>Namespaces</span></a></li> |
| <li><a href="annotated.xhtml"><span>Data Structures</span></a></li> |
| <li class="current"><a href="files.xhtml"><span>Files</span></a></li> |
| <li> |
| <div id="MSearchBox" class="MSearchBoxInactive"> |
| <span class="left"> |
| <img id="MSearchSelect" src="search/mag_sel.png" |
| onmouseover="return searchBox.OnSearchSelectShow()" |
| onmouseout="return searchBox.OnSearchSelectHide()" |
| alt=""/> |
| <input type="text" id="MSearchField" value="Search" accesskey="S" |
| onfocus="searchBox.OnSearchFieldFocus(true)" |
| onblur="searchBox.OnSearchFieldFocus(false)" |
| onkeyup="searchBox.OnSearchFieldChange(event)"/> |
| </span><span class="right"> |
| <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a> |
| </span> |
| </div> |
| </li> |
| </ul> |
| </div> |
| <div id="navrow2" class="tabs2"> |
| <ul class="tablist"> |
| <li><a href="files.xhtml"><span>File List</span></a></li> |
| <li><a href="globals.xhtml"><span>Globals</span></a></li> |
| </ul> |
| </div> |
| </div><!-- top --> |
| <div id="side-nav" class="ui-resizable side-nav-resizable"> |
| <div id="nav-tree"> |
| <div id="nav-tree-contents"> |
| <div id="nav-sync" class="sync"></div> |
| </div> |
| </div> |
| <div id="splitbar" style="-moz-user-select:none;" |
| class="ui-resizable-handle"> |
| </div> |
| </div> |
| <script type="text/javascript"> |
| $(document).ready(function(){initNavTree('_convolution_layer_8h_source.xhtml','');}); |
| </script> |
| <div id="doc-content"> |
| <!-- window showing the filter options --> |
| <div id="MSearchSelectWindow" |
| onmouseover="return searchBox.OnSearchSelectShow()" |
| onmouseout="return searchBox.OnSearchSelectHide()" |
| onkeydown="return searchBox.OnSearchSelectKey(event)"> |
| </div> |
| |
| <!-- iframe showing the search results (closed by default) --> |
| <div id="MSearchResultsWindow"> |
| <iframe src="javascript:void(0)" frameborder="0" |
| name="MSearchResults" id="MSearchResults"> |
| </iframe> |
| </div> |
| |
| <div class="header"> |
| <div class="headertitle"> |
| <div class="title">ConvolutionLayer.h</div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| <a href="_convolution_layer_8h.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 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">#ifndef __ARM_COMPUTE_TEST_BENCHMARK_CONVOLUTION_LAYER_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_TEST_BENCHMARK_CONVOLUTION_LAYER_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_tensor_library_8h.xhtml">TensorLibrary.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "Utils.h"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_convolution_layer_dataset_8h.xhtml">dataset/ConvolutionLayerDataset.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</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.xhtml">arm_compute</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_1test.xhtml">arm_compute::test</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_1test_1_1benchmark.xhtml">arm_compute::test::benchmark</a>;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span>test</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span>benchmark</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DataSet, <span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> Accessor, <span class="keyword">typename</span> Function, DataType dt = DataType::F32></div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml"> 44</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml">ConvolutionLayer</a> : <span class="keyword">public</span> ::benchmark::Fixture</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml#afefeb9fe1555964776400f2ef0c619ce"> 47</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml#afefeb9fe1555964776400f2ef0c619ce">SetUp</a>(::benchmark::State &<a class="code" href="benchmark_2_c_l_2_activation_layer_8cpp.xhtml#a7ff4fc3bbf305206c6f2b97d4e6681a0">state</a>)<span class="keyword"> override</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  profiler.add(std::make_shared<WallClockTimer>());</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="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml">ConvolutionLayerDataObject</a> conv_obj = *(DataSet().begin() + state.range(0));</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="comment">// Set batched in source and destination shapes</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batches = state.range(1);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> fixed_point_position = 4;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> src_shape = conv_obj.<a class="code" href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#a1657d54add914f1cb9de70d569c56032">src_shape</a>;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> dst_shape = conv_obj.<a class="code" href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#ad8f82f8e286d9360a6325ba3de549a93">dst_shape</a>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  src_shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a0cb0e1f5da2e1cc2e0ea5690450f53e8">set</a>(3 <span class="comment">/* batch */</span>, batches);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  dst_shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a0cb0e1f5da2e1cc2e0ea5690450f53e8">set</a>(3 <span class="comment">/* batch */</span>, batches);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// Create tensors</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  src = <a class="code" href="namespacearm__compute_1_1test_1_1cl.xhtml#a6feffffa9821246ed8ac8fe7d633df57">create_tensor</a>(src_shape, dt, 1, fixed_point_position);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  weights = <a class="code" href="namespacearm__compute_1_1test_1_1cl.xhtml#a6feffffa9821246ed8ac8fe7d633df57">create_tensor</a>(conv_obj.<a class="code" href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#a639a4b038a3685eb058e33cb95385212">weights_shape</a>, dt, 1, fixed_point_position);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  bias = <a class="code" href="namespacearm__compute_1_1test_1_1cl.xhtml#a6feffffa9821246ed8ac8fe7d633df57">create_tensor</a>(conv_obj.<a class="code" href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#a79820c7442073b8eb22fb3eaef6fd6ba">bias_shape</a>, dt, 1, fixed_point_position);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  dst = <a class="code" href="namespacearm__compute_1_1test_1_1cl.xhtml#a6feffffa9821246ed8ac8fe7d633df57">create_tensor</a>(dst_shape, dt, 1, fixed_point_position);</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">// Create and configure function</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  conv_layer = std::unique_ptr<Function>(<span class="keyword">new</span> Function());</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  conv_layer->configure(&src, &weights, &bias, &dst, conv_obj.<a class="code" href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#a04e99eab3f61ebdfd514fb71a7f9a0c2">info</a>);</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="comment">// Allocate tensors</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  src.allocator()->allocate();</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  weights.allocator()->allocate();</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  bias.allocator()->allocate();</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  dst.allocator()->allocate();</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="comment">// Fill tensors</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(Accessor(src), 0);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(Accessor(weights), 1);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>->fill_tensor_uniform(Accessor(bias), 2);</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> </div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml#ab5cddfc86d6a5b91f6dcc6410890d1b6"> 83</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml#ab5cddfc86d6a5b91f6dcc6410890d1b6">TearDown</a>(::benchmark::State &<a class="code" href="benchmark_2_c_l_2_activation_layer_8cpp.xhtml#a7ff4fc3bbf305206c6f2b97d4e6681a0">state</a>)<span class="keyword"> override</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  conv_layer.reset();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  src.allocator()->free();</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  weights.allocator()->free();</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  bias.allocator()->free();</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  dst.allocator()->free();</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  profiler.submit(state);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml#a7f7c0967ad3c5af48d653555ce5d026e"> 95</a></span>  std::unique_ptr<Function> conv_layer{ <span class="keyword">nullptr</span> };</div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml#a776ac8deaafd98dedc2c146058762923"> 96</a></span>  <a class="code" href="classarm__compute_1_1test_1_1benchmark_1_1_profiler.xhtml">Profiler</a> profiler{};</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  TensorType src{};</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  TensorType weights{};</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  TensorType bias{};</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  TensorType dst{};</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> } <span class="comment">// namespace benchmark</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> } <span class="comment">// namespace test</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="preprocessor">#endif //__ARM_COMPUTE_TEST_BENCHMARK_CONVOLUTION_LAYER_H__</span></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> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_convolution_layer_data_object_xhtml_a04e99eab3f61ebdfd514fb71a7f9a0c2"><div class="ttname"><a href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#a04e99eab3f61ebdfd514fb71a7f9a0c2">arm_compute::test::ConvolutionLayerDataObject::info</a></div><div class="ttdeci">PadStrideInfo info</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_dataset_8h_source.xhtml#l00069">ConvolutionLayerDataset.h:69</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml">arm_compute::test</a></div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_8h_source.xhtml#l00039">GEMM.h:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1benchmark_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1benchmark.xhtml">arm_compute::test::benchmark</a></div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_8h_source.xhtml#l00041">GEMM.h:41</a></div></div> |
| <div class="ttc" id="_tensor_library_8h_xhtml"><div class="ttname"><a href="_tensor_library_8h.xhtml">TensorLibrary.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer_xhtml_ab5cddfc86d6a5b91f6dcc6410890d1b6"><div class="ttname"><a href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml#ab5cddfc86d6a5b91f6dcc6410890d1b6">arm_compute::test::benchmark::ConvolutionLayer::TearDown</a></div><div class="ttdeci">void TearDown(::benchmark::State &state) override</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_8h_source.xhtml#l00083">ConvolutionLayer.h:83</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer_xhtml_afefeb9fe1555964776400f2ef0c619ce"><div class="ttname"><a href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml#afefeb9fe1555964776400f2ef0c619ce">arm_compute::test::benchmark::ConvolutionLayer::SetUp</a></div><div class="ttdeci">void SetUp(::benchmark::State &state) override</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_8h_source.xhtml#l00047">ConvolutionLayer.h:47</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml">arm_compute::test::benchmark::ConvolutionLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_8h_source.xhtml#l00044">ConvolutionLayer.h:44</a></div></div> |
| <div class="ttc" id="benchmark_2_c_l_2_activation_layer_8cpp_xhtml_a7ff4fc3bbf305206c6f2b97d4e6681a0"><div class="ttname"><a href="benchmark_2_c_l_2_activation_layer_8cpp.xhtml#a7ff4fc3bbf305206c6f2b97d4e6681a0">state</a></div><div class="ttdeci">::benchmark::State & state</div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2_c_l_2_activation_layer_8cpp_source.xhtml#l00057">ActivationLayer.cpp:57</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_convolution_layer_data_object_xhtml_a639a4b038a3685eb058e33cb95385212"><div class="ttname"><a href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#a639a4b038a3685eb058e33cb95385212">arm_compute::test::ConvolutionLayerDataObject::weights_shape</a></div><div class="ttdeci">TensorShape weights_shape</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_dataset_8h_source.xhtml#l00066">ConvolutionLayerDataset.h:66</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a0cb0e1f5da2e1cc2e0ea5690450f53e8"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a0cb0e1f5da2e1cc2e0ea5690450f53e8">arm_compute::TensorShape::set</a></div><div class="ttdeci">void set(size_t dimension, size_t value)</div><div class="ttdoc">Accessor to set the value of one of the dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00074">TensorShape.h:74</a></div></div> |
| <div class="ttc" id="_convolution_layer_dataset_8h_xhtml"><div class="ttname"><a href="_convolution_layer_dataset_8h.xhtml">ConvolutionLayerDataset.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_convolution_layer_data_object_xhtml_a1657d54add914f1cb9de70d569c56032"><div class="ttname"><a href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#a1657d54add914f1cb9de70d569c56032">arm_compute::test::ConvolutionLayerDataObject::src_shape</a></div><div class="ttdeci">TensorShape src_shape</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_dataset_8h_source.xhtml#l00065">ConvolutionLayerDataset.h:65</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_convolution_layer_data_object_xhtml_ad8f82f8e286d9360a6325ba3de549a93"><div class="ttname"><a href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#ad8f82f8e286d9360a6325ba3de549a93">arm_compute::test::ConvolutionLayerDataObject::dst_shape</a></div><div class="ttdeci">TensorShape dst_shape</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_dataset_8h_source.xhtml#l00068">ConvolutionLayerDataset.h:68</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_convolution_layer_data_object_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml">arm_compute::test::ConvolutionLayerDataObject</a></div><div class="ttdoc">Convolution Layer data object. </div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_dataset_8h_source.xhtml#l00045">ConvolutionLayerDataset.h:45</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1benchmark_1_1_profiler_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1benchmark_1_1_profiler.xhtml">arm_compute::test::benchmark::Profiler</a></div><div class="ttdef"><b>Definition:</b> <a href="_profiler_8h_source.xhtml#l00042">Profiler.h:42</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a4ced6442a379a75e8a6c4be093fb666b"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">arm_compute::test::library</a></div><div class="ttdeci">std::unique_ptr< TensorLibrary > library</div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2main_8cpp_source.xhtml#l00050">main.cpp:50</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1cl_xhtml_a6feffffa9821246ed8ac8fe7d633df57"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1cl.xhtml#a6feffffa9821246ed8ac8fe7d633df57">arm_compute::test::cl::create_tensor</a></div><div class="ttdeci">CLTensor create_tensor(const TensorShape &shape, DataType data_type, int num_channels=1, int fixed_point_position=0)</div><div class="ttdoc">Helper to create an empty tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_helper_8h_source.xhtml#l00047">Helper.h:47</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_convolution_layer_data_object_xhtml_a79820c7442073b8eb22fb3eaef6fd6ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#a79820c7442073b8eb22fb3eaef6fd6ba">arm_compute::test::ConvolutionLayerDataObject::bias_shape</a></div><div class="ttdeci">TensorShape bias_shape</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_dataset_8h_source.xhtml#l00067">ConvolutionLayerDataset.h:67</a></div></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <!-- start footer part --> |
| <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| <ul> |
| <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_4f2df8950dc650bf7cf9176fae02facc.xhtml">benchmark</a></li><li class="navelem"><a class="el" href="dir_e384de53230b0fb8812f7ca98fdb0e65.xhtml">common</a></li><li class="navelem"><a class="el" href="_convolution_layer_8h.xhtml">ConvolutionLayer.h</a></li> |
| <li class="footer">Generated on Fri Jun 23 2017 15:44:33 for Compute Library by |
| <a href="http://www.doxygen.org/index.html"> |
| <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li> |
| </ul> |
| </div> |
| </body> |
| </html> |
