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   9 <title>Compute Library: BatchNormalizationLayerFixture&lt; TensorType, Function, Accessor &gt; Class Template Reference</title>
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 118   <div class="summary">
 119 <a href="#pub-methods">Public Member Functions</a>  </div>
 120   <div class="headertitle">
 121 <div class="title">BatchNormalizationLayerFixture&lt; TensorType, Function, Accessor &gt; Class Template Reference</div>  </div>
 122 </div><!--header-->
 123 <div class="contents">
 124
 125 <p>Fixture that can be used for NEON and CL.
 126  <a href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#details">More...</a></p>
 127
 128 <p><code>#include &lt;<a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>&gt;</code></p>
 129 <div class="dynheader">
 130 Collaboration diagram for BatchNormalizationLayerFixture&lt; TensorType, Function, Accessor &gt;:</div>
 131 <div class="dyncontent">
 132 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture__coll__graph.svg" width="259" height="127"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
 133 </div>
 134 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
 135 <table class="memberdecls">
 136 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 137 Public Member Functions</h2></td></tr>
 138 <tr class="memitem:a7a0ea2fd1c0a23d8b2ab0f6d52650915"><td class="memTemplParams" colspan="2">template&lt;typename... &gt; </td></tr>
 139 <tr class="memitem:a7a0ea2fd1c0a23d8b2ab0f6d52650915"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</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>
 140 <tr class="separator:a7a0ea2fd1c0a23d8b2ab0f6d52650915"><td class="memSeparator" colspan="2">&#160;</td></tr>
 141 <tr class="memitem:a13a43e6d814de94978c515cb084873b1"><td class="memItemLeft" align="right" valign="top">void&#160;</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>
 142 <tr class="separator:a13a43e6d814de94978c515cb084873b1"><td class="memSeparator" colspan="2">&#160;</td></tr>
 143 <tr class="memitem:ad55f80ed3cd8b6c4f247763b747016af"><td class="memItemLeft" align="right" valign="top">void&#160;</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>
 144 <tr class="separator:ad55f80ed3cd8b6c4f247763b747016af"><td class="memSeparator" colspan="2">&#160;</td></tr>
 145 <tr class="memitem:a4adab6322a0276f34a7d656d49fc865c"><td class="memItemLeft" align="right" valign="top">void&#160;</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>
 146 <tr class="separator:a4adab6322a0276f34a7d656d49fc865c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 147 <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="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml">Fixture</a></td></tr>
 148 <tr class="memitem:a4fc01d736fe50cf5b977f755b675f11d inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memItemLeft" align="right" valign="top">void&#160;</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>
 149 <tr class="memdesc:a4fc01d736fe50cf5b977f755b675f11d inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="mdescLeft">&#160;</td><td class="mdescRight">Setup function.  <a href="#a4fc01d736fe50cf5b977f755b675f11d">More...</a><br /></td></tr>
 150 <tr class="separator:a4fc01d736fe50cf5b977f755b675f11d inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memSeparator" colspan="2">&#160;</td></tr>
 151 <tr class="memitem:a4adab6322a0276f34a7d656d49fc865c inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memItemLeft" align="right" valign="top">void&#160;</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>
 152 <tr class="memdesc:a4adab6322a0276f34a7d656d49fc865c inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="mdescLeft">&#160;</td><td class="mdescRight">Teardown function.  <a href="#a4adab6322a0276f34a7d656d49fc865c">More...</a><br /></td></tr>
 153 <tr class="separator:a4adab6322a0276f34a7d656d49fc865c inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memSeparator" colspan="2">&#160;</td></tr>
 154 </table>
 155 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 156 <div class="textblock"><h3>template&lt;typename TensorType, typename Function, typename Accessor&gt;<br />
 157 class arm_compute::test::BatchNormalizationLayerFixture&lt; TensorType, Function, Accessor &gt;</h3>
 158
 159 <p>Fixture that can be used for NEON and CL. </p>
 160
 161 <p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00039">39</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p>
 162 </div><h2 class="groupheader">Member Function Documentation</h2>
 163 <a class="anchor" id="a13a43e6d814de94978c515cb084873b1"></a>
 164 <div class="memitem">
 165 <div class="memproto">
 166 <table class="mlabels">
 167   <tr>
 168   <td class="mlabels-left">
 169       <table class="memname">
 170         <tr>
 171           <td class="memname">void run </td>
 172           <td>(</td>
 173           <td class="paramname"></td><td>)</td>
 174           <td></td>
 175         </tr>
 176       </table>
 177   </td>
 178   <td class="mlabels-right">
 179 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 180   </tr>
 181 </table>
 182 </div><div class="memdoc">
 183
 184 <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>
 185 <div class="fragment"><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;        batch_norm_layer.run();</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    }</div></div><!-- fragment -->
 186 </div>
 187 </div>
 188 <a class="anchor" id="a7a0ea2fd1c0a23d8b2ab0f6d52650915"></a>
 189 <div class="memitem">
 190 <div class="memproto">
 191 <table class="mlabels">
 192   <tr>
 193   <td class="mlabels-left">
 194       <table class="memname">
 195         <tr>
 196           <td class="memname">void setup </td>
 197           <td>(</td>
 198           <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&#160;</td>
 199           <td class="paramname"><em>tensor_shape</em>, </td>
 200         </tr>
 201         <tr>
 202           <td class="paramkey"></td>
 203           <td></td>
 204           <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&#160;</td>
 205           <td class="paramname"><em>param_shape</em>, </td>
 206         </tr>
 207         <tr>
 208           <td class="paramkey"></td>
 209           <td></td>
 210           <td class="paramtype">float&#160;</td>
 211           <td class="paramname"><em>epsilon</em>, </td>
 212         </tr>
 213         <tr>
 214           <td class="paramkey"></td>
 215           <td></td>
 216           <td class="paramtype"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>&#160;</td>
 217           <td class="paramname"><em>act_info</em>, </td>
 218         </tr>
 219         <tr>
 220           <td class="paramkey"></td>
 221           <td></td>
 222           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
 223           <td class="paramname"><em>data_type</em>, </td>
 224         </tr>
 225         <tr>
 226           <td class="paramkey"></td>
 227           <td></td>
 228           <td class="paramtype">int&#160;</td>
 229           <td class="paramname"><em>batches</em>&#160;</td>
 230         </tr>
 231         <tr>
 232           <td></td>
 233           <td>)</td>
 234           <td></td><td></td>
 235         </tr>
 236       </table>
 237   </td>
 238   <td class="mlabels-right">
 239 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 240   </tr>
 241 </table>
 242 </div><div class="memdoc">
 243
 244 <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>
 245
 246 <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&lt; T &gt;::num_dimensions()</a>, and <a class="el" href="_tensor_shape_8h_source.xhtml#l00077">TensorShape::set()</a>.</p>
 247 <div class="fragment"><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    {</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;        <span class="comment">// Set batched in source and destination shapes</span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;        <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>&#160;        tensor_shape.set(tensor_shape.num_dimensions(), batches);</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        <span class="comment">// Create tensors</span></div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;        src      = create_tensor&lt;TensorType&gt;(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>&#160;        dst      = create_tensor&lt;TensorType&gt;(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>&#160;        mean     = create_tensor&lt;TensorType&gt;(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>&#160;        variance = create_tensor&lt;TensorType&gt;(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>&#160;        beta     = create_tensor&lt;TensorType&gt;(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>&#160;        gamma    = create_tensor&lt;TensorType&gt;(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>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;        <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        batch_norm_layer.configure(&amp;src, &amp;dst, &amp;mean, &amp;variance, &amp;beta, &amp;gamma, epsilon, act_info);</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        <span class="comment">// Allocate tensors</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        src.allocator()-&gt;allocate();</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        dst.allocator()-&gt;allocate();</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        mean.allocator()-&gt;allocate();</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        variance.allocator()-&gt;allocate();</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        beta.allocator()-&gt;allocate();</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;        gamma.allocator()-&gt;allocate();</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    }</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>
 248 </div><!-- fragment -->
 249 </div>
 250 </div>
 251 <a class="anchor" id="ad55f80ed3cd8b6c4f247763b747016af"></a>
 252 <div class="memitem">
 253 <div class="memproto">
 254 <table class="mlabels">
 255   <tr>
 256   <td class="mlabels-left">
 257       <table class="memname">
 258         <tr>
 259           <td class="memname">void sync </td>
 260           <td>(</td>
 261           <td class="paramname"></td><td>)</td>
 262           <td></td>
 263         </tr>
 264       </table>
 265   </td>
 266   <td class="mlabels-right">
 267 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 268   </tr>
 269 </table>
 270 </div><div class="memdoc">
 271
 272 <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>
 273 <div class="fragment"><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    {</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        sync_if_necessary&lt;TensorType&gt;();</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        sync_tensor_if_necessary&lt;TensorType&gt;(dst);</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    }</div></div><!-- fragment -->
 274 </div>
 275 </div>
 276 <a class="anchor" id="a4adab6322a0276f34a7d656d49fc865c"></a>
 277 <div class="memitem">
 278 <div class="memproto">
 279 <table class="mlabels">
 280   <tr>
 281   <td class="mlabels-left">
 282       <table class="memname">
 283         <tr>
 284           <td class="memname">void teardown </td>
 285           <td>(</td>
 286           <td class="paramname"></td><td>)</td>
 287           <td></td>
 288         </tr>
 289       </table>
 290   </td>
 291   <td class="mlabels-right">
 292 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 293   </tr>
 294 </table>
 295 </div><div class="memdoc">
 296
 297 <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>
 298 <div class="fragment"><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    {</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;        src.allocator()-&gt;free();</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;        dst.allocator()-&gt;free();</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;        mean.allocator()-&gt;free();</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        variance.allocator()-&gt;free();</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;        beta.allocator()-&gt;free();</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        gamma.allocator()-&gt;free();</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    }</div></div><!-- fragment -->
 299 </div>
 300 </div>
 301 <hr/>The documentation for this class was generated from the following file:<ul>
 302 <li>tests/benchmark/fixtures/<a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a></li>
 303 </ul>
 304 </div><!-- contents -->
 305 </div><!-- doc-content -->
 306 <!-- start footer part -->
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 308   <ul>
 309     <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>
 310     <li class="footer">Generated on Thu Feb 22 2018 15:45:26 for Compute Library by
 311     <a href="http://www.doxygen.org/index.html">
 312     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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