arm_compute v18.02

[platform/upstream/armcl.git] / documentation / classarm__compute_1_1_g_c_batch_normalization_layer.xhtml

diff --git a/documentation/classarm__compute_1_1_g_c_batch_normalization_layer.xhtml b/documentation/classarm__compute_1_1_g_c_batch_normalization_layer.xhtml
index 8f3268e..5115b10 100644 (file)
--- a/documentation/classarm__compute_1_1_g_c_batch_normalization_layer.xhtml
+++ b/documentation/classarm__compute_1_1_g_c_batch_normalization_layer.xhtml
@@ -40,7 +40,7 @@
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    <div id="projectname">Compute Library
-   &#160;<span id="projectnumber">18.01</span>
+   &#160;<span id="projectnumber">18.02</span>
    </div>
   </td>
  </tr>
@@ -138,9 +138,9 @@ Public Member Functions</h2></td></tr>
 <tr class="memitem:ae46038d0e47ec316681667900c15517c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ae46038d0e47ec316681667900c15517c">GCBatchNormalizationLayer</a> ()</td></tr>
 <tr class="memdesc:ae46038d0e47ec316681667900c15517c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#ae46038d0e47ec316681667900c15517c">More...</a><br /></td></tr>
 <tr class="separator:ae46038d0e47ec316681667900c15517c"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0e5c2d247cab98cd7a5ed72f61c5d702"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#a0e5c2d247cab98cd7a5ed72f61c5d702">configure</a> (const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *input, <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *output, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *mean, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *var, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *beta, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *gamma, float epsilon)</td></tr>
-<tr class="memdesc:a0e5c2d247cab98cd7a5ed72f61c5d702"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the input and output tensors.  <a href="#a0e5c2d247cab98cd7a5ed72f61c5d702">More...</a><br /></td></tr>
-<tr class="separator:a0e5c2d247cab98cd7a5ed72f61c5d702"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab66d55b5fca2d08c253e4e9a37f9c6bc"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ab66d55b5fca2d08c253e4e9a37f9c6bc">configure</a> (const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *input, <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *output, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *mean, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *var, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *beta, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *gamma, float epsilon, <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info=<a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())</td></tr>
+<tr class="memdesc:ab66d55b5fca2d08c253e4e9a37f9c6bc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the input and output tensors.  <a href="#ab66d55b5fca2d08c253e4e9a37f9c6bc">More...</a><br /></td></tr>
+<tr class="separator:ab66d55b5fca2d08c253e4e9a37f9c6bc"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:ad1717410afd0be936c6213a63c8005fb"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr>
 <tr class="memdesc:ad1717410afd0be936c6213a63c8005fb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Run the kernels contained in the function.  <a href="#ad1717410afd0be936c6213a63c8005fb">More...</a><br /></td></tr>
 <tr class="separator:ad1717410afd0be936c6213a63c8005fb"><td class="memSeparator" colspan="2">&#160;</td></tr>
@@ -175,7 +175,7 @@ Public Member Functions</h2></td></tr>
 </div>
 </div>
 <h2 class="groupheader">Member Function Documentation</h2>
-<a class="anchor" id="a0e5c2d247cab98cd7a5ed72f61c5d702"></a>
+<a class="anchor" id="ab66d55b5fca2d08c253e4e9a37f9c6bc"></a>
 <div class="memitem">
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@@ -219,7 +219,13 @@ Public Member Functions</h2></td></tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">float&#160;</td>
-          <td class="paramname"><em>epsilon</em>&#160;</td>
+          <td class="paramname"><em>epsilon</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>&#160;</td>
+          <td class="paramname"><em>act_info</em> = <code><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>()</code>&#160;</td>
         </tr>
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           <td></td>
@@ -239,11 +245,12 @@ Public Member Functions</h2></td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>Beta values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as <code>input</code> </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">gamma</td><td>Gamma values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as <code>input</code> </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>Small value to avoid division with zero. </td></tr>
+    <tr><td class="paramdir">[in]</td><td class="paramname">act_info</td><td>(Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. </td></tr>
   </table>
   </dd>
 </dl>
 
-<p>Referenced by <a class="el" href="validation_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp_source.xhtml#l00056">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p>
+<p>Referenced by <a class="el" href="validation_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp_source.xhtml#l00062">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p>
 
 </div>
 </div>
@@ -293,7 +300,7 @@ Public Member Functions</h2></td></tr>
 <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="classarm__compute_1_1_g_c_batch_normalization_layer.xhtml">GCBatchNormalizationLayer</a></li>
-    <li class="footer">Generated on Wed Jan 24 2018 14:30:45 for Compute Library by
+    <li class="footer">Generated on Thu Feb 22 2018 15:45:24 for Compute Library by
     <a href="http://www.doxygen.org/index.html">
     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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