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<div id="projectname">Compute Library
-  <span id="projectnumber">18.03</span>
+  <span id="projectnumber">18.05</span>
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<tr class="memitem:a4bda9e07bd18e83b4ef18d3c7abb0632"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#a4bda9e07bd18e83b4ef18d3c7abb0632">GCDepthwiseConvolutionLayer3x3</a> ()</td></tr>
<tr class="memdesc:a4bda9e07bd18e83b4ef18d3c7abb0632"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#a4bda9e07bd18e83b4ef18d3c7abb0632">More...</a><br /></td></tr>
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-<tr class="memitem:a62506aeeb3913e08e0ec3216b5859b2a"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#a62506aeeb3913e08e0ec3216b5859b2a">configure</a> (<a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *input, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *weights, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *biases, <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_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info)</td></tr>
-<tr class="memdesc:a62506aeeb3913e08e0ec3216b5859b2a"><td class="mdescLeft"> </td><td class="mdescRight">Initialize the function's source, destination, conv and border_size. <a href="#a62506aeeb3913e08e0ec3216b5859b2a">More...</a><br /></td></tr>
-<tr class="separator:a62506aeeb3913e08e0ec3216b5859b2a"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a5a128cb6eeb9d0e7592edfcb47b79ef8"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#a5a128cb6eeb9d0e7592edfcb47b79ef8">configure</a> (<a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *input, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *weights, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *biases, <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_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info, unsigned int depth_multiplier=1)</td></tr>
+<tr class="memdesc:a5a128cb6eeb9d0e7592edfcb47b79ef8"><td class="mdescLeft"> </td><td class="mdescRight">Initialize the function's source, destination, conv and border_size. <a href="#a5a128cb6eeb9d0e7592edfcb47b79ef8">More...</a><br /></td></tr>
+<tr class="separator:a5a128cb6eeb9d0e7592edfcb47b79ef8"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ab5fd6e96c07aaaed2747c7e16ed5951e"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">run</a> () overridefinal</td></tr>
<tr class="memdesc:ab5fd6e96c07aaaed2747c7e16ed5951e"><td class="mdescLeft"> </td><td class="mdescRight">Run the kernels contained in the function. <a href="#ab5fd6e96c07aaaed2747c7e16ed5951e">More...</a><br /></td></tr>
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<tr class="memitem:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">~IFunction</a> ()=default</td></tr>
<tr class="memdesc:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">More...</a><br /></td></tr>
<tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">prepare</a> ()</td></tr>
+<tr class="memdesc:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Prepare the function for executing. <a href="#a820f7291c24155a2980512fae45aac26">More...</a><br /></td></tr>
+<tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Basic function to execute a depthwise convolution for kernel size 3x3xC. </p>
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<h2 class="groupheader">Member Function Documentation</h2>
-<a class="anchor" id="a62506aeeb3913e08e0ec3216b5859b2a"></a>
+<a class="anchor" id="a5a128cb6eeb9d0e7592edfcb47b79ef8"></a>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> & </td>
- <td class="paramname"><em>conv_info</em> </td>
+ <td class="paramname"><em>conv_info</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">unsigned int </td>
+ <td class="paramname"><em>depth_multiplier</em> = <code>1</code> </td>
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<tr><td class="paramdir">[in]</td><td class="paramname">biases</td><td>(Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. Data type supported: Same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Data type supported: same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Padding and stride information to use for the convolution. </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">depth_multiplier</td><td>(Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. </td></tr>
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<li>All the kernels are enqueued on the queue associated with <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml" title="Provides global access to a CL context and command queue. ">CLScheduler</a>.</li>
<li>The queue is then flushed.</li>
</ul>
-<dl class="section note"><dt>Note</dt><dd>The function will not block until the kernels are executed. It is the user's responsibility to wait. </dd></dl>
+<dl class="section note"><dt>Note</dt><dd>The function will not block until the kernels are executed. It is the user's responsibility to wait. </dd>
+<dd>
+Will call <a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26" title="Prepare the function for executing. ">prepare()</a> on first run if hasn't been done </dd></dl>
<p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p>
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<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_depthwise_convolution_layer3x3.xhtml">GCDepthwiseConvolutionLayer3x3</a></li>
- <li class="footer">Generated on Fri Mar 2 2018 12:37:58 for Compute Library by
+ <li class="footer">Generated on Wed May 23 2018 11:36:41 for Compute Library by
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<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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projects / platform / upstream / armcl.git / blobdiff