<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 1.8.6"/>
+<meta name="generator" content="Doxygen 1.8.11"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
<title>Compute Library: BatchNormalizationLayerFixture< TensorType, Function, Accessor > Class Template Reference</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<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() { searchBox.OnSelectItem(0); });
+ $(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 src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
+</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>
<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
<div id="projectname">Compute Library
-  <span id="projectnumber">17.10</span>
+  <span id="projectnumber">18.02</span>
</div>
</td>
</tr>
</table>
</div>
<!-- end header part -->
-<!-- Generated by Doxygen 1.8.6 -->
+<!-- Generated by Doxygen 1.8.11 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
onkeydown="return searchBox.OnSearchSelectKey(event)">
-<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark"> </span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark"> </span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark"> </span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark"> </span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark"> </span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark"> </span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark"> </span>Typedefs</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark"> </span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark"> </span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark"> </span>Friends</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark"> </span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(11)"><span class="SelectionMark"> </span>Pages</a></div>
+</div>
<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<div class="dynheader">
Collaboration diagram for BatchNormalizationLayerFixture< TensorType, Function, Accessor >:</div>
<div class="dyncontent">
-<div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture__coll__graph.svg" width="2
47" height="127"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
+<div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture__coll__graph.svg" width="2
59" height="127"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
</div>
<center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
-<tr class="memitem:acab980ecd77cd2a0fee5c0a8ce0455f1"><td class="memTemplParams" colspan="2">template<typename... > </td></tr>
-<tr class="memitem:a
cab980ecd77cd2a0fee5c0a8ce0455f1"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#acab980ecd77cd2a0fee5c0a8ce0455f1">setup</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> tensor_shape, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> param_shape, float epsilon, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, int batches)</td></tr>
-<tr class="separator:acab980ecd77cd2a0fee5c0a8ce0455f1"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a7a0ea2fd1c0a23d8b2ab0f6d52650915"><td class="memTemplParams" colspan="2">template<typename... > </td></tr>
+<tr class="memitem:a
7a0ea2fd1c0a23d8b2ab0f6d52650915"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a7a0ea2fd1c0a23d8b2ab0f6d52650915">setup</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> tensor_shape, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> param_shape, float epsilon, <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, int batches)</td></tr>
+<tr class="separator:a7a0ea2fd1c0a23d8b2ab0f6d52650915"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a13a43e6d814de94978c515cb084873b1"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">run</a> ()</td></tr>
<tr class="separator:a13a43e6d814de94978c515cb084873b1"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ad55f80ed3cd8b6c4f247763b747016af"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#ad55f80ed3cd8b6c4f247763b747016af">sync</a> ()</td></tr>
+<tr class="separator:ad55f80ed3cd8b6c4f247763b747016af"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a4adab6322a0276f34a7d656d49fc865c"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a4adab6322a0276f34a7d656d49fc865c">teardown</a> ()</td></tr>
<tr class="separator:a4adab6322a0276f34a7d656d49fc865c"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml">Fixture</a></td></tr>
<tr class="memitem:a4fc01d736fe50cf5b977f755b675f11d inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">setup</a> ()</td></tr>
-<tr class="memdesc:a4fc01d736fe50cf5b977f755b675f11d inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="mdescLeft"> </td><td class="mdescRight">Setup function. <a href="#a4fc01d736fe50cf5b977f755b675f11d">More...</a><br/></td></tr>
+<tr class="memdesc:a4fc01d736fe50cf5b977f755b675f11d inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="mdescLeft"> </td><td class="mdescRight">Setup function. <a href="#a4fc01d736fe50cf5b977f755b675f11d">More...</a><br /></td></tr>
<tr class="separator:a4fc01d736fe50cf5b977f755b675f11d inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a4adab6322a0276f34a7d656d49fc865c inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4adab6322a0276f34a7d656d49fc865c">teardown</a> ()</td></tr>
-<tr class="memdesc:a4adab6322a0276f34a7d656d49fc865c inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="mdescLeft"> </td><td class="mdescRight">Teardown function. <a href="#a4adab6322a0276f34a7d656d49fc865c">More...</a><br/></td></tr>
+<tr class="memdesc:a4adab6322a0276f34a7d656d49fc865c inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="mdescLeft"> </td><td class="mdescRight">Teardown function. <a href="#a4adab6322a0276f34a7d656d49fc865c">More...</a><br /></td></tr>
<tr class="separator:a4adab6322a0276f34a7d656d49fc865c inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock"><h3>template<typename TensorType, typename Function, typename Accessor><br/>
+<div class="textblock"><h3>template<typename TensorType, typename Function, typename Accessor><br />
class arm_compute::test::BatchNormalizationLayerFixture< TensorType, Function, Accessor ></h3>
<p>Fixture that can be used for NEON and CL. </p>
</table>
</div><div class="memdoc">
-<p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00076">76</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p>
-<div class="fragment"><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>  batch_norm_layer.run();</div>
-<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div>
-</div><!-- fragment -->
+<p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00069">69</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p>
+<div class="fragment"><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>  batch_norm_layer.run();</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  }</div></div><!-- fragment -->
</div>
</div>
-<a class="anchor" id="acab980ecd77cd2a0fee5c0a8ce0455f1"></a>
+<a class="anchor" id="a7a0ea2fd1c0a23d8b2ab0f6d52650915"></a>
<div class="memitem">
<div class="memproto">
<table class="mlabels">
<tr>
<td class="paramkey"></td>
<td></td>
+ <td class="paramtype"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> </td>
+ <td class="paramname"><em>act_info</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
<td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td>
<td class="paramname"><em>data_type</em>, </td>
</tr>
<p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00043">43</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p>
-<p>References <a class="el" href="_c_l_2_min_max_location_8cpp_source.xhtml#l00090">arm_compute::test::validation::data_type</a>, <a class="el" href="main_8cpp_source.xhtml#l00055">arm_compute::test::library</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00109">Dimensions< T >::num_dimensions()</a>, and <a class="el" href="_tensor_shape_8h_source.xhtml#l00074">TensorShape::set()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div>
-<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="comment">// Set batched in source and destination shapes</span></div>
-<div class="line"><a name="l00046"></a><span class="lineno"> 46</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="l00047"></a><span class="lineno"> 47</span>  tensor_shape.set(tensor_shape.num_dimensions(), batches);</div>
-<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div>
-<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="comment">// Create tensors</span></div>
-<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  src = create_tensor<TensorType>(tensor_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div>
-<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  dst = create_tensor<TensorType>(tensor_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div>
-<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  mean = create_tensor<TensorType>(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div>
-<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  variance = create_tensor<TensorType>(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div>
-<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  beta = create_tensor<TensorType>(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div>
-<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  gamma = create_tensor<TensorType>(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div>
-<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div>
-<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// Create and configure function</span></div>
-<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  batch_norm_layer.configure(&src, &dst, &mean, &variance, &beta, &gamma, epsilon);</div>
-<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div>
-<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// Allocate tensors</span></div>
-<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  src.allocator()->allocate();</div>
-<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  dst.allocator()->allocate();</div>
-<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  mean.allocator()->allocate();</div>
-<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  variance.allocator()->allocate();</div>
-<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  beta.allocator()->allocate();</div>
-<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  gamma.allocator()->allocate();</div>
-<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div>
-<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// Fill tensors</span></div>
-<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill_tensor_uniform(Accessor(src), 0);</div>
-<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill_tensor_uniform(Accessor(mean), 1);</div>
-<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill_tensor_uniform(Accessor(variance), 2);</div>
-<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill_tensor_uniform(Accessor(beta), 3);</div>
-<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill_tensor_uniform(Accessor(gamma), 4);</div>
-<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div>
-<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00090">MinMaxLocation.cpp:90</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a71326f0909d77386e29b511e1990a11f"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">arm_compute::test::library</a></div><div class="ttdeci">std::unique_ptr< AssetsLibrary > library</div><div class="ttdef"><b>Definition:</b> <a href="main_8cpp_source.xhtml#l00055">main.cpp:55</a></div></div>
+<p>References <a class="el" href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00114">arm_compute::test::validation::data_type</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions< T >::num_dimensions()</a>, and <a class="el" href="_tensor_shape_8h_source.xhtml#l00077">TensorShape::set()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="comment">// Set batched in source and destination shapes</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</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="l00047"></a><span class="lineno"> 47</span>  tensor_shape.set(tensor_shape.num_dimensions(), batches);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="comment">// Create tensors</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  src = create_tensor<TensorType>(tensor_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  dst = create_tensor<TensorType>(tensor_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  mean = create_tensor<TensorType>(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  variance = create_tensor<TensorType>(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  beta = create_tensor<TensorType>(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  gamma = create_tensor<TensorType>(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  batch_norm_layer.configure(&src, &dst, &mean, &variance, &beta, &gamma, epsilon, act_info);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// Allocate tensors</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  src.allocator()->allocate();</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  dst.allocator()->allocate();</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  mean.allocator()->allocate();</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  variance.allocator()->allocate();</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  beta.allocator()->allocate();</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  gamma.allocator()->allocate();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00114">GEMM.cpp:114</a></div></div>
</div><!-- fragment -->
</div>
</div>
+<a class="anchor" id="ad55f80ed3cd8b6c4f247763b747016af"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">void sync </td>
+ <td>(</td>
+ <td class="paramname"></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00074">74</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p>
+<div class="fragment"><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>  sync_if_necessary<TensorType>();</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  sync_tensor_if_necessary<TensorType>(dst);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  }</div></div><!-- fragment -->
+</div>
+</div>
<a class="anchor" id="a4adab6322a0276f34a7d656d49fc865c"></a>
<div class="memitem">
<div class="memproto">
</table>
</div><div class="memdoc">
-<p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00081">81</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p>
-<div class="fragment"><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  {</div>
-<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  src.allocator()->free();</div>
-<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  dst.allocator()->free();</div>
-<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  mean.allocator()->free();</div>
-<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  variance.allocator()->free();</div>
-<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  beta.allocator()->free();</div>
-<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  gamma.allocator()->free();</div>
-<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div>
-</div><!-- fragment -->
+<p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00080">80</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p>
+<div class="fragment"><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>  src.allocator()->free();</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  dst.allocator()->free();</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  mean.allocator()->free();</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  variance.allocator()->free();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  beta.allocator()->free();</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  gamma.allocator()->free();</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  }</div></div><!-- fragment -->
</div>
</div>
<hr/>The documentation for this class was generated from the following file:<ul>
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="namespacearm__compute.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="namespacearm__compute_1_1test.xhtml">test</a></li><li class="navelem"><a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml">BatchNormalizationLayerFixture</a></li>
- <li class="footer">Generated on Thu Oct 12 2017 14:26:38 for Compute Library by
+ <li class="footer">Generated on Thu Feb 22 2018 15:45:26 for Compute Library by
<a href="http://www.doxygen.org/index.html">
- <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 </li>
+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
</ul>
</div>
</body>
projects / platform / upstream / armcl.git / blobdiff