arm_compute v19.08
diff --git a/documentation/functions_func_p.xhtml b/documentation/functions_func_p.xhtml
index 19f137e..9720322 100644
--- a/documentation/functions_func_p.xhtml
+++ b/documentation/functions_func_p.xhtml
@@ -40,7 +40,7 @@
<img alt="Compute Library" src="https://raw.githubusercontent.com/ARM-software/ComputeLibrary/gh-pages/ACL_logo.png" style="max-width: 100%;margin-top: 15px;margin-left: 10px"/>
<td style="padding-left: 0.5em;">
<div id="projectname">
-  <span id="projectnumber">19.05</span>
+  <span id="projectnumber">19.08</span>
</div>
</td>
</tr>
@@ -272,12 +272,14 @@
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">CLGEMMLowpMatrixMultiplyCore</a>
, <a class="el" href="classarm__compute_1_1_c_l_locally_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">CLLocallyConnectedLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">CLLSTMLayer</a>
+, <a class="el" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">CLLSTMLayerQuantized</a>
, <a class="el" href="classarm__compute_1_1_c_l_r_n_n_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">CLRNNLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">CLWinogradConvolutionLayer</a>
, <a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">GCConvolutionLayer</a>
, <a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">GCFullyConnectedLayer</a>
, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">GCGEMM</a>
, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_convolution_batch_normalization_function.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c">FusedConvolutionBatchNormalizationFunction< TargetInfo, FusedLayerTypes ></a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c">FusedDepthwiseConvolutionBatchNormalizationFunction< TargetInfo, FusedLayerTypes ></a>
, <a class="el" href="structarm__compute_1_1graph_1_1_execution_task.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c">ExecutionTask</a>
, <a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">IFunction</a>
, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NEConvolutionLayer</a>
@@ -285,6 +287,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_assembly_dispatch.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NEDepthwiseConvolutionAssemblyDispatch</a>
, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NEDepthwiseConvolutionLayer3x3</a>
, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NEDepthwiseConvolutionLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer_optimized.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NEDepthwiseConvolutionLayerOptimized</a>
, <a class="el" href="classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NEDepthwiseSeparableConvolutionLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_f_f_t_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NEFFTConvolutionLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NEFullyConnectedLayer</a>
@@ -296,6 +299,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NEGEMMLowpMatrixMultiplyCore</a>
, <a class="el" href="classarm__compute_1_1_n_e_locally_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NELocallyConnectedLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NELSTMLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_l_s_t_m_layer_quantized.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NELSTMLayerQuantized</a>
, <a class="el" href="classarm__compute_1_1_n_e_r_n_n_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NERNNLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">NEWinogradConvolutionLayer</a>
</li>
@@ -312,11 +316,16 @@
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">IPreprocessor</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml#a1545d087d050b8e9733e7e212df73666">TFPreproccessor</a>
</li>
+<li>pretranpose_B()
+: <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml#a345fcdd5930bb0a3c8382bbfba4a8d45">GEMMInfo</a>
+</li>
<li>pretranspose_B_array()
: <a class="el" href="classarm__gemm_1_1_gemm_hybrid.xhtml#ae385dce1a98e03f0a3ca311f031e5110">GemmHybrid< strategy, To, Tr ></a>
+, <a class="el" href="classarm__gemm_1_1_gemm_hybrid_quantized.xhtml#ae385dce1a98e03f0a3ca311f031e5110">GemmHybridQuantized< strategy, To, Tr ></a>
, <a class="el" href="classarm__gemm_1_1_gemm_interleaved.xhtml#ae385dce1a98e03f0a3ca311f031e5110">GemmInterleaved< strategy, To, Tr ></a>
, <a class="el" href="classarm__gemm_1_1_gemv_batched.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0">GemvBatched< To, Tr ></a>
, <a class="el" href="classarm__gemm_1_1_gemv_pretransposed.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0">GemvPretransposed< strategy, To, Tr ></a>
+, <a class="el" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0">QuantizeWrapper< To, Tr, Tgemm ></a>
</li>
<li>print()
: <a class="el" href="classarm__compute_1_1graph_1_1_dot_graph_printer.xhtml#a6360aacec485371990a2691002a45fe4">DotGraphPrinter</a>
@@ -399,7 +408,7 @@
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a2fac8e2013fb935c058fb09ffd972b54">Framework</a>
</li>
<li>Printer()
-: <a class="el" href="classarm__compute_1_1logging_1_1_printer.xhtml#ab1c9bd7e4bc60107ac6035125cf76024">Printer</a>
+: <a class="el" href="classarm__compute_1_1logging_1_1_printer.xhtml#a14d1a36fce0bc44e71df1dac8a96a37e">Printer</a>
</li>
<li>priorbox_info()
: <a class="el" href="classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a0f62f59c57a7cdbdc20f7d850f1dfd8c">PriorBoxLayerNode</a>
@@ -423,7 +432,7 @@
: <a class="el" href="classarm__compute_1_1graph_1_1_edge.xhtml#acacab4f2a903f45180eb30f5ef1ae678">Edge</a>
</li>
<li>Program()
-: <a class="el" href="classarm__compute_1_1_program.xhtml#ab761eeac6f1072ad0c2920feeb0a8076">Program</a>
+: <a class="el" href="classarm__compute_1_1_program.xhtml#a40ae1e88dc2e254ba8304fbc13349efb">Program</a>
</li>
<li>projection_bias()
: <a class="el" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ad676992a90d193409fa6a28a001af6c8">LSTMParams< T ></a>
@@ -448,7 +457,7 @@
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a3893bc1fbad02227b78bbce22bcff1ba">Framework</a>
</li>
<li>PyramidInfo()
-: <a class="el" href="classarm__compute_1_1_pyramid_info.xhtml#ae79dbf996c991c72eee4f1d9122152ef">PyramidInfo</a>
+: <a class="el" href="classarm__compute_1_1_pyramid_info.xhtml#a6365834dc65fb5cc59cd17aea308db13">PyramidInfo</a>
</li>
</ul>
</div><!-- contents -->
@@ -456,7 +465,7 @@
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
- <li class="footer">Generated on Thu May 23 2019 17:11:38 for Compute Library by
+ <li class="footer">Generated on Mon Sep 2 2019 11:47:42 for Compute Library by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.15 </li>
</ul>