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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:acab980ecd77cd2a0fee5c0a8ce0455f1"><td class="memTemplParams" colspan="2">template&lt;typename... &gt; </td></tr>
 139 <tr class="memitem:acab980ecd77cd2a0fee5c0a8ce0455f1"><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#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>
 140 <tr class="separator:acab980ecd77cd2a0fee5c0a8ce0455f1"><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: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>
 144 <tr class="separator:a4adab6322a0276f34a7d656d49fc865c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 145 <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>
 146 <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>
 147 <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>
 148 <tr class="separator:a4fc01d736fe50cf5b977f755b675f11d inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memSeparator" colspan="2">&#160;</td></tr>
 149 <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>
 150 <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>
 151 <tr class="separator:a4adab6322a0276f34a7d656d49fc865c inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memSeparator" colspan="2">&#160;</td></tr>
 152 </table>
 153 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 154 <div class="textblock"><h3>template&lt;typename TensorType, typename Function, typename Accessor&gt;<br />
 155 class arm_compute::test::BatchNormalizationLayerFixture&lt; TensorType, Function, Accessor &gt;</h3>
 156
 157 <p>Fixture that can be used for NEON and CL. </p>
 158
 159 <p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00045">45</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p>
 160 </div><h2 class="groupheader">Member Function Documentation</h2>
 161 <a class="anchor" id="a13a43e6d814de94978c515cb084873b1"></a>
 162 <div class="memitem">
 163 <div class="memproto">
 164 <table class="mlabels">
 165   <tr>
 166   <td class="mlabels-left">
 167       <table class="memname">
 168         <tr>
 169           <td class="memname">void run </td>
 170           <td>(</td>
 171           <td class="paramname"></td><td>)</td>
 172           <td></td>
 173         </tr>
 174       </table>
 175   </td>
 176   <td class="mlabels-right">
 177 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 178   </tr>
 179 </table>
 180 </div><div class="memdoc">
 181
 182 <p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00082">82</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p>
 183
 184 <p>References <a class="el" href="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00118">arm_compute::test::validation::dst</a>, <a class="el" href="_g_l_e_s___c_o_m_p_u_t_e_2_helper_8h_source.xhtml#l00104">arm_compute::test::gles_compute::force_sync_tensor()</a>, <a class="el" href="namespacearm__compute.xhtml#a19c7b9bc5f36935ba40314907ffe54ce">arm_compute::opengles31_is_available()</a>, <a class="el" href="caffe__data__extractor_8py_source.xhtml#l00019">caffe_data_extractor::type</a>, and <a class="el" href="hwc_8hpp_source.xhtml#l00269">value</a>.</p>
 185 <div class="fragment"><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    {</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;        batch_norm_layer.run();</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="preprocessor">#ifdef ARM_COMPUTE_GC</span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;        <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#a19c7b9bc5f36935ba40314907ffe54ce">opengles31_is_available</a>() &amp;&amp; std::is_same&lt;<span class="keyword">typename</span> <a class="code" href="namespacecaffe__data__extractor.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">std::decay&lt;TensorType&gt;::type</a>, <a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml">arm_compute::GCTensor</a>&gt;::<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>)</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        {</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;            <a class="code" href="namespacearm__compute_1_1test_1_1gles__compute.xhtml#a93e2ed430a80df2cf6cbc4a3b03f392b">force_sync_tensor</a>(dst);</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;        }</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_GC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml">arm_compute::GCTensor</a></div><div class="ttdoc">Interface for OpenGL ES tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_8h_source.xhtml#l00037">GCTensor.h:37</a></div></div>
 186 <div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00269">hwc.hpp:269</a></div></div>
 187 <div class="ttc" id="namespacecaffe__data__extractor_xhtml_a7aead736a07eaf25623ad7bfa1f0ee2d"><div class="ttname"><a href="namespacecaffe__data__extractor.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">caffe_data_extractor.type</a></div><div class="ttdeci">type</div><div class="ttdef"><b>Definition:</b> <a href="caffe__data__extractor_8py_source.xhtml#l00019">caffe_data_extractor.py:19</a></div></div>
 188 <div class="ttc" id="namespacearm__compute_1_1test_1_1gles__compute_xhtml_a93e2ed430a80df2cf6cbc4a3b03f392b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1gles__compute.xhtml#a93e2ed430a80df2cf6cbc4a3b03f392b">arm_compute::test::gles_compute::force_sync_tensor</a></div><div class="ttdeci">void force_sync_tensor(ITensor &amp;tensor)</div><div class="ttdoc">Helper to sync tensor, if tensor is not used, GPU have optimized the operation. </div><div class="ttdef"><b>Definition:</b> <a href="_g_l_e_s___c_o_m_p_u_t_e_2_helper_8h_source.xhtml#l00104">Helper.h:104</a></div></div>
 189 <div class="ttc" id="namespacearm__compute_xhtml_a19c7b9bc5f36935ba40314907ffe54ce"><div class="ttname"><a href="namespacearm__compute.xhtml#a19c7b9bc5f36935ba40314907ffe54ce">arm_compute::opengles31_is_available</a></div><div class="ttdeci">bool opengles31_is_available()</div><div class="ttdoc">Check if the OpenGL ES 3.1 API is available at runtime. </div></div>
 190 </div><!-- fragment -->
 191 </div>
 192 </div>
 193 <a class="anchor" id="acab980ecd77cd2a0fee5c0a8ce0455f1"></a>
 194 <div class="memitem">
 195 <div class="memproto">
 196 <table class="mlabels">
 197   <tr>
 198   <td class="mlabels-left">
 199       <table class="memname">
 200         <tr>
 201           <td class="memname">void setup </td>
 202           <td>(</td>
 203           <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&#160;</td>
 204           <td class="paramname"><em>tensor_shape</em>, </td>
 205         </tr>
 206         <tr>
 207           <td class="paramkey"></td>
 208           <td></td>
 209           <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&#160;</td>
 210           <td class="paramname"><em>param_shape</em>, </td>
 211         </tr>
 212         <tr>
 213           <td class="paramkey"></td>
 214           <td></td>
 215           <td class="paramtype">float&#160;</td>
 216           <td class="paramname"><em>epsilon</em>, </td>
 217         </tr>
 218         <tr>
 219           <td class="paramkey"></td>
 220           <td></td>
 221           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
 222           <td class="paramname"><em>data_type</em>, </td>
 223         </tr>
 224         <tr>
 225           <td class="paramkey"></td>
 226           <td></td>
 227           <td class="paramtype">int&#160;</td>
 228           <td class="paramname"><em>batches</em>&#160;</td>
 229         </tr>
 230         <tr>
 231           <td></td>
 232           <td>)</td>
 233           <td></td><td></td>
 234         </tr>
 235       </table>
 236   </td>
 237   <td class="mlabels-right">
 238 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 239   </tr>
 240 </table>
 241 </div><div class="memdoc">
 242
 243 <p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00049">49</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p>
 244
 245 <p>References <a class="el" href="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00109">arm_compute::test::validation::beta</a>, <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="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00118">arm_compute::test::validation::dst</a>, <a class="el" href="main_8cpp_source.xhtml#l00058">arm_compute::test::library</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#l00074">TensorShape::set()</a>.</p>
 246 <div class="fragment"><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    {</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        <span class="comment">// Set batched in source and destination shapes</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</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="l00053"></a><span class="lineno">   53</span>&#160;        tensor_shape.set(tensor_shape.num_dimensions(), batches);</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">// Create tensors</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</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="l00057"></a><span class="lineno">   57</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="l00058"></a><span class="lineno">   58</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="l00059"></a><span class="lineno">   59</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="l00060"></a><span class="lineno">   60</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="l00061"></a><span class="lineno">   61</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="l00062"></a><span class="lineno">   62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        batch_norm_layer.configure(&amp;src, &amp;dst, &amp;mean, &amp;variance, &amp;beta, &amp;gamma, epsilon);</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">// Allocate tensors</span></div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;        src.allocator()-&gt;allocate();</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;        dst.allocator()-&gt;allocate();</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        mean.allocator()-&gt;allocate();</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        variance.allocator()-&gt;allocate();</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        beta.allocator()-&gt;allocate();</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        gamma.allocator()-&gt;allocate();</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        <span class="comment">// Fill tensors</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill_tensor_uniform(Accessor(src), 0);</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill_tensor_uniform(Accessor(mean), 1);</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill_tensor_uniform(Accessor(variance), 2);</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill_tensor_uniform(Accessor(beta), 3);</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;        <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill_tensor_uniform(Accessor(gamma), 4);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</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="_c_l_2_min_max_location_8cpp_source.xhtml#l00090">MinMaxLocation.cpp:90</a></div></div>
 247 <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&lt; AssetsLibrary &gt; library</div><div class="ttdef"><b>Definition:</b> <a href="main_8cpp_source.xhtml#l00058">main.cpp:58</a></div></div>
 248 </div><!-- fragment -->
 249 </div>
 250 </div>
 251 <a class="anchor" id="a4adab6322a0276f34a7d656d49fc865c"></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 teardown </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#l00093">93</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p>
 273
 274 <p>References <a class="el" href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">Tensor::allocator()</a>, <a class="el" href="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00109">arm_compute::test::validation::beta</a>, <a class="el" href="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00118">arm_compute::test::validation::dst</a>, and <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a1468b0adb6ec3f9d38aa7d60b8a91974">TensorAllocator::free()</a>.</p>
 275 <div class="fragment"><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    {</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        src.allocator()-&gt;free();</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        dst.allocator()-&gt;free();</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;        mean.allocator()-&gt;free();</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        variance.allocator()-&gt;free();</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;        beta.allocator()-&gt;free();</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        gamma.allocator()-&gt;free();</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    }</div></div><!-- fragment -->
 276 </div>
 277 </div>
 278 <hr/>The documentation for this class was generated from the following file:<ul>
 279 <li>tests/benchmark/fixtures/<a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a></li>
 280 </ul>
 281 </div><!-- contents -->
 282 </div><!-- doc-content -->
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 285   <ul>
 286     <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>
 287     <li class="footer">Generated on Thu Dec 14 2017 23:48:37 for Compute Library by
 288     <a href="http://www.doxygen.org/index.html">
 289     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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