arm_compute v18.05
[platform/upstream/armcl.git] / documentation / _c_l_batch_normalization_layer_8h_source.xhtml
index ef4b059..e87b09e 100644 (file)
@@ -40,7 +40,7 @@
  <tr style="height: 56px;">
   <td style="padding-left: 0.5em;">
    <div id="projectname">Compute Library
-   &#160;<span id="projectnumber">18.03</span>
+   &#160;<span id="projectnumber">18.05</span>
    </div>
   </td>
  </tr>
@@ -117,20 +117,19 @@ $(document).ready(function(){initNavTree('_c_l_batch_normalization_layer_8h_sour
 <div class="title">CLBatchNormalizationLayer.h</div>  </div>
 </div><!--header-->
 <div class="contents">
-<a href="_c_l_batch_normalization_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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_CLBATCHNORMALIZATIONLAYER_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_CLBATCHNORMALIZATIONLAYER_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_function_8h.xhtml">arm_compute/runtime/IFunction.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_batch_normalization_layer_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;{</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="keyword">class </span><a class="code" href="namespacearm__compute.xhtml#af87af588094f04e537df98eaf0426cb6">ICLTensor</a>;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml">   42</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml">CLBatchNormalizationLayer</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#aa75c9e345235e7031d6489425e53645a">CLBatchNormalizationLayer</a>();</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a2e219b7129ffd19b0f06066b297bed49">configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *mean, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *var, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *gamma, <span class="keywordtype">float</span> epsilon,</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;                   <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info = <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>());</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a83daf577791f7e7e86b2dab68b5ca81a">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output,</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;                           <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *mean, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *var,</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;                           <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *gamma,</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;                           <span class="keywordtype">float</span> epsilon, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info);</div><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;    <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml">CLBatchNormalizationLayerKernel</a> _norm_kernel; </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;}</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_CLBATCHNORMALIZATIONLAYER_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_c_l_batch_normalization_layer_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLBatchNormalizationLayer::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
+<a href="_c_l_batch_normalization_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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_CLBATCHNORMALIZATIONLAYER_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_CLBATCHNORMALIZATIONLAYER_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_function_8h.xhtml">arm_compute/runtime/IFunction.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_batch_normalization_layer_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;{</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="keyword">class </span>ICLTensor;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml">   42</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml">CLBatchNormalizationLayer</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#aa75c9e345235e7031d6489425e53645a">CLBatchNormalizationLayer</a>();</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18">configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *mean, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *var, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a> = <span class="keyword">nullptr</span>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *gamma = <span class="keyword">nullptr</span>, <span class="keywordtype">float</span> epsilon = 0.001f,</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;                   <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info = <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>());</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#af5f30ebbb928758897f5dcd17fc50181">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output,</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;                           <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *mean, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *var,</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;                           <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a> = <span class="keyword">nullptr</span>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *gamma = <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;                           <span class="keywordtype">float</span> epsilon = 0.001f, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info = <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>());</div><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;    <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml">CLBatchNormalizationLayerKernel</a> _norm_kernel; </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;}</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_CLBATCHNORMALIZATIONLAYER_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_c_l_batch_normalization_layer_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLBatchNormalizationLayer::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab146b9cbab6e73e7588b240dc709fe01"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">arm_compute::test::validation::beta</a></div><div class="ttdeci">beta</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00115">GEMM.cpp:115</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_i_function_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a></div><div class="ttdoc">Base class for all functions. </div><div class="ttdef"><b>Definition:</b> <a href="_i_function_8h_source.xhtml#l00030">IFunction.h:30</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_c_l_batch_normalization_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml">arm_compute::CLBatchNormalizationLayer</a></div><div class="ttdoc">Basic function to run CLNormalizationLayerKernel and simulate a batch normalization layer...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_batch_normalization_layer_8h_source.xhtml#l00042">CLBatchNormalizationLayer.h:42</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class. </div><div class="ttdef"><b>Definition:</b> <a href="core_2_error_8h_source.xhtml#l00039">Error.h:39</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_c_l_batch_normalization_layer_xhtml_a83daf577791f7e7e86b2dab68b5ca81a"><div class="ttname"><a href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a83daf577791f7e7e86b2dab68b5ca81a">arm_compute::CLBatchNormalizationLayer::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *var, const ITensorInfo *beta, const ITensorInfo *gamma, float epsilon, ActivationLayerInfo act_info)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLBatchNormalizationLaye...</div></div>
-<div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00701">Types.h:701</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_c_l_batch_normalization_layer_xhtml_af5f30ebbb928758897f5dcd17fc50181"><div class="ttname"><a href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#af5f30ebbb928758897f5dcd17fc50181">arm_compute::CLBatchNormalizationLayer::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *var, const ITensorInfo *beta=nullptr, const ITensorInfo *gamma=nullptr, float epsilon=0.001f, ActivationLayerInfo act_info=ActivationLayerInfo())</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLBatchNormalizationLaye...</div></div>
+<div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00051">Error.h:51</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00809">Types.h:809</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_c_l_batch_normalization_layer_xhtml_aa75c9e345235e7031d6489425e53645a"><div class="ttname"><a href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#aa75c9e345235e7031d6489425e53645a">arm_compute::CLBatchNormalizationLayer::CLBatchNormalizationLayer</a></div><div class="ttdeci">CLBatchNormalizationLayer()</div><div class="ttdoc">Default constructor. </div></div>
 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
 <div class="ttc" id="_c_l_batch_normalization_layer_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_batch_normalization_layer_kernel_8h.xhtml">CLBatchNormalizationLayerKernel.h</a></div></div>
-<div class="ttc" id="namespacearm__compute_xhtml_af87af588094f04e537df98eaf0426cb6"><div class="ttname"><a href="namespacearm__compute.xhtml#af87af588094f04e537df98eaf0426cb6">arm_compute::ICLTensor</a></div><div class="ttdeci">ICLImage ICLTensor</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_histogram_8h_source.xhtml#l00034">CLHistogram.h:34</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_c_l_batch_normalization_layer_xhtml_a2b8fc7ef9b53c8a4e6b13995109ebf18"><div class="ttname"><a href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18">arm_compute::CLBatchNormalizationLayer::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *var, const ICLTensor *beta=nullptr, const ICLTensor *gamma=nullptr, float epsilon=0.001f, ActivationLayerInfo act_info=ActivationLayerInfo())</div><div class="ttdoc">Set the input and output tensors. </div></div>
 <div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml">arm_compute::ICLTensor</a></div><div class="ttdoc">Interface for OpenCL tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8h_source.xhtml#l00040">ICLTensor.h:40</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_c_l_batch_normalization_layer_xhtml_a2e219b7129ffd19b0f06066b297bed49"><div class="ttname"><a href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a2e219b7129ffd19b0f06066b297bed49">arm_compute::CLBatchNormalizationLayer::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *var, const ICLTensor *beta, const ICLTensor *gamma, float epsilon, ActivationLayerInfo act_info=ActivationLayerInfo())</div><div class="ttdoc">Set the input and output tensors. </div></div>
 <div class="ttc" id="_i_function_8h_xhtml"><div class="ttname"><a href="_i_function_8h.xhtml">IFunction.h</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_c_l_batch_normalization_layer_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml">arm_compute::CLBatchNormalizationLayerKernel</a></div><div class="ttdoc">Interface for the BatchNormalization layer kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_batch_normalization_layer_kernel_8h_source.xhtml#l00035">CLBatchNormalizationLayerKernel.h:35</a></div></div>
 <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
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