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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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+<p>GLES Compute kernel to perform reshaping on the weights used by convolution and locally connected layer.
+ <a href="classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#details">More...</a></p>
+
<p><code>#include <<a class="el" href="_g_c_weights_reshape_kernel_8h_source.xhtml">GCWeightsReshapeKernel.h</a>></code></p>
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Collaboration diagram for GCWeightsReshapeKernel:</div>
<tr class="memitem:a3c6173aecfebc9030bf8a0bee0c0ced8 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a3c6173aecfebc9030bf8a0bee0c0ced8">set_lws_hint</a> (<a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml">gles::NDRange</a> &lws_hint)</td></tr>
<tr class="memdesc:a3c6173aecfebc9030bf8a0bee0c0ced8 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Set the Local-Workgroup-Size hint. <a href="#a3c6173aecfebc9030bf8a0bee0c0ced8">More...</a><br /></td></tr>
<tr class="separator:a3c6173aecfebc9030bf8a0bee0c0ced8 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ad5ba9d34a3a855bf1dd2e36316ff550a inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a">set_target</a> (<a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> target)</td></tr>
+<tr class="memdesc:ad5ba9d34a3a855bf1dd2e36316ff550a inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Set the targeted GPU architecture. <a href="#ad5ba9d34a3a855bf1dd2e36316ff550a">More...</a><br /></td></tr>
+<tr class="separator:ad5ba9d34a3a855bf1dd2e36316ff550a inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a646cd535a16835b246c3367a63d96250 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a646cd535a16835b246c3367a63d96250">get_target</a> () const </td></tr>
+<tr class="memdesc:a646cd535a16835b246c3367a63d96250 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Get the targeted GPU architecture. <a href="#a646cd535a16835b246c3367a63d96250">More...</a><br /></td></tr>
+<tr class="separator:a646cd535a16835b246c3367a63d96250 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr>
<tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr>
<tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
<tr class="separator:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><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>Definition at line <a class="el" href="_g_c_weights_reshape_kernel_8h_source.xhtml#l00031">31</a> of file <a class="el" href="_g_c_weights_reshape_kernel_8h_source.xhtml">GCWeightsReshapeKernel.h</a>.</p>
+<div class="textblock"><p>GLES Compute kernel to perform reshaping on the weights used by convolution and locally connected layer. </p>
+<p>Rearranges each 3-dimensional kernel to a single row leading to a matrix with linearized kernels. In combination with the <a class="el" href="classarm__compute_1_1_g_c_im2_col_kernel.xhtml">GCIm2ColKernel</a> can transform a convolution to a matrix multiplication.</p>
+<p>For example assuming a 3D weight kernel of 3x3 dimensions and depth of 2 we have: </p><p class="formulaDsp">
+\[ \left( \begin{array}{ccc} a000 & a001 & a002 \\ a010 & a011 & a012 \\ a020 & a021 & a022 \\ \end{array} \right) \left( \begin{array}{ccc} a100 & a101 & a102 \\ a110 & a111 & a112 \\ a120 & a121 & a122 \\ \end{array} \right) \rightarrow \left( \begin{array}{ccccccccc} a000 & a001 & a002 & a010 & a011 & a012 & a020 & a021 & a022 & a100 & a101 & a102 & a110 & a111 & a112 & a120 & a121 & a122 \\ \end{array} \right) \]
+</p>
+
+<p>Definition at line <a class="el" href="_g_c_weights_reshape_kernel_8h_source.xhtml#l00054">54</a> of file <a class="el" href="_g_c_weights_reshape_kernel_8h_source.xhtml">GCWeightsReshapeKernel.h</a>.</p>
</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
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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_weights_reshape_kernel.xhtml">GCWeightsReshapeKernel</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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