arm_compute v19.08
diff --git a/documentation/functions_d.xhtml b/documentation/functions_d.xhtml
index 84c209c..2a7236f 100644
--- a/documentation/functions_d.xhtml
+++ b/documentation/functions_d.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>
@@ -106,9 +106,10 @@
, <a class="el" href="classarm__compute_1_1_lut_allocator.xhtml#a344325f71f51323330de47f307ebecfd">LutAllocator</a>
, <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a344325f71f51323330de47f307ebecfd">TensorAllocator</a>
, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#a332a750ed35277f0bc297fbfecce598f">Accessor</a>
-, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a332a750ed35277f0bc297fbfecce598f">CLAccessor</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a0189be0971a32a0171c51b90a1ab1020">CLAccessor</a>
, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a4ae7e1f6885eb47c11062cc74e6a6e19">SimpleTensor< T ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a332a750ed35277f0bc297fbfecce598f">SimpleTensorAccessor< T ></a>
+, <a class="el" href="classarm__compute_1_1utils_1_1mmap__io_1_1_m_mapped_file.xhtml#a3884d6c46a68636a526bdfd8ab131895">MMappedFile</a>
</li>
<li>data_layout()
: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">ITensorInfo</a>
@@ -154,10 +155,10 @@
: <a class="el" href="classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#ae304796bd723ec2b2d50b88236498bd1">DeconvolutionLayerNode</a>
</li>
<li>DeconvolutionLayer()
-: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_deconvolution_layer.xhtml#a9215f4450945459837b421c33956f239">DeconvolutionLayer</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_deconvolution_layer.xhtml#a98c30ba91fe106a656f931077135fa1e">DeconvolutionLayer</a>
</li>
<li>DeconvolutionLayerNode()
-: <a class="el" href="classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a7fdaa1b9676892f546cff1e12dfef3d3">DeconvolutionLayerNode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#ac6a4e978199dc2811685b3b681b6bca5">DeconvolutionLayerNode</a>
</li>
<li>decorate()
: <a class="el" href="classarm__compute_1_1logging_1_1_date_decorator.xhtml#a7cc31af1c60cf2317350fca65ba16597">DateDecorator</a>
@@ -182,13 +183,16 @@
</li>
<li>depth_multiplier()
: <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a88e38a50a2e964b19521fe8f2e9a144f">DepthwiseConvolutionLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ac8cef0874f04203401b5d7f5a6fa2a34">FusedDepthwiseConvolutionBatchNormalizationNode</a>
</li>
<li>depth_output_gemm3d()
: <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml#abbd888f118c2209bf7578eb4f8942a07">GEMMInfo</a>
+, <a class="el" href="structarm__compute_1_1_g_e_m_m_kernel_info.xhtml#a370d5ff7251d8d974c634c9ed0dde094">GEMMKernelInfo</a>
, <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#abbd888f118c2209bf7578eb4f8942a07">GEMMReshapeInfo</a>
</li>
<li>depthwise_convolution_method()
: <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a8cefd89d2de49691e778c8d5a08ac92f">DepthwiseConvolutionLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a8cefd89d2de49691e778c8d5a08ac92f">FusedDepthwiseConvolutionBatchNormalizationNode</a>
</li>
<li>depthwise_convolution_method_hint
: <a class="el" href="structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a67ede056be3dfba6dfbb934a1b96661e">StreamHints</a>
@@ -199,9 +203,6 @@
<li>DepthwiseConvolutionLayerNode()
: <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a29031f29e5d91bdd4f792c210b04a6cb">DepthwiseConvolutionLayerNode</a>
</li>
-<li>dequantize()
-: <a class="el" href="structarm__compute_1_1_quantization_info.xhtml#ac851f3e86769317dda805cfb4c44f43a">QuantizationInfo</a>
-</li>
<li>desc()
: <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a0d3608f94078b90ab1ff9e9465d4ed3b">Tensor</a>
</li>
@@ -228,34 +229,49 @@
<li>detection_output_info()
: <a class="el" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a4491336dccd18464fbbf617c981736cf">DetectionOutputLayerNode</a>
</li>
+<li>detection_per_class()
+: <a class="el" href="classarm__compute_1_1_detection_post_process_layer_info.xhtml#a36e65a7f80a07a2393e6a1cadd974740">DetectionPostProcessLayerInfo</a>
+</li>
+<li>detection_post_process_info()
+: <a class="el" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml#a23ab280af362e61b91763038fc3194f4">DetectionPostProcessLayerNode</a>
+</li>
<li>detection_window_size()
: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a7cbda2c789c461237f0c6eaee8f8cd2a">HOGInfo</a>
</li>
<li>DetectionOutputAccessor()
-: <a class="el" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#a27dfee7cd6e032a9d766786a8e1e3c8f">DetectionOutputAccessor</a>
+: <a class="el" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#a9d991af8ac7b4f3379daebd90fd33e58">DetectionOutputAccessor</a>
</li>
<li>DetectionOutputLayer()
: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_detection_output_layer.xhtml#add9af3fe9c394a1994f926a6268260ed">DetectionOutputLayer</a>
</li>
<li>DetectionOutputLayerInfo()
-: <a class="el" href="classarm__compute_1_1_detection_output_layer_info.xhtml#aba5c653899ad75de3548b6c60c08939c">DetectionOutputLayerInfo</a>
+: <a class="el" href="classarm__compute_1_1_detection_output_layer_info.xhtml#a13f922d9427581021eca1cc48faa431c">DetectionOutputLayerInfo</a>
</li>
<li>DetectionOutputLayerNode()
: <a class="el" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a747fc2559359c5004e3034a30ec7579c">DetectionOutputLayerNode</a>
</li>
+<li>DetectionPostProcessLayer()
+: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_detection_post_process_layer.xhtml#a4c9b5e28705dc4e1b1b9418fc62bdedc">DetectionPostProcessLayer</a>
+</li>
+<li>DetectionPostProcessLayerInfo()
+: <a class="el" href="classarm__compute_1_1_detection_post_process_layer_info.xhtml#aede4f8793a2b46ae99ce26038449c0ea">DetectionPostProcessLayerInfo</a>
+</li>
+<li>DetectionPostProcessLayerNode()
+: <a class="el" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml#a5a5924785acf6009c34983a476fa3341">DetectionPostProcessLayerNode</a>
+</li>
<li>detections_per_im()
: <a class="el" href="classarm__compute_1_1_box_n_m_s_limit_info.xhtml#af3ec399a9e0cea025fa9b37773a6eb13">BoxNMSLimitInfo</a>
</li>
<li>dimension()
: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ae3372a4569b4702a881b1606b0c144c4">ITensorInfo</a>
-, <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a650247f9a828d1ef60135b01f8f77765">SubTensorInfo</a>
-, <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">TensorInfo</a>
+, <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">SubTensorInfo</a>
+, <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a650247f9a828d1ef60135b01f8f77765">TensorInfo</a>
</li>
<li>Dimension()
: <a class="el" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a2c532d398a5661ff04367252701fa3d4">Window::Dimension</a>
</li>
<li>Dimensions()
-: <a class="el" href="classarm__compute_1_1_dimensions.xhtml#aa2c609345b3b6fa8da2486f75fff8ed8">Dimensions< T ></a>
+: <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">Dimensions< T ></a>
</li>
<li>dimensions()
: <a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml#a38d1df78f2175f8f38f74d4357ad6a35">NDRange</a>
@@ -281,6 +297,18 @@
<li>Distribution1D()
: <a class="el" href="classarm__compute_1_1_distribution1_d.xhtml#a243c829bced69df597b496eb7456efb0">Distribution1D</a>
</li>
+<li>do_instantiate()
+: <a class="el" href="structarm__gemm_1_1_gemm_implementation.xhtml#a0d314fbcf3811eaa3cfb1bf25865f4a1">GemmImplementation< Top, Tret, OutputStage ></a>
+, <a class="el" href="structarm__gemm_1_1_gemm_implementation_3_01_top_00_01_tret_00_01_nothing_01_4.xhtml#a662cb8ab54223f3c6cda5f7444976cb9">GemmImplementation< Top, Tret, Nothing ></a>
+</li>
+<li>do_is_recommended()
+: <a class="el" href="structarm__gemm_1_1_gemm_implementation.xhtml#ad8a9a99f3b770cac1affba2d13c7b48c">GemmImplementation< Top, Tret, OutputStage ></a>
+, <a class="el" href="structarm__gemm_1_1_gemm_implementation_3_01_top_00_01_tret_00_01_nothing_01_4.xhtml#a8f3483c0c428096a60a3d2e88dc98eaf">GemmImplementation< Top, Tret, Nothing ></a>
+</li>
+<li>do_is_supported()
+: <a class="el" href="structarm__gemm_1_1_gemm_implementation.xhtml#a436afad58214e0759d4640e642c4774c">GemmImplementation< Top, Tret, OutputStage ></a>
+, <a class="el" href="structarm__gemm_1_1_gemm_implementation_3_01_top_00_01_tret_00_01_nothing_01_4.xhtml#a0189bdbe8e6725e137851f4adf098dc1">GemmImplementation< Top, Tret, Nothing ></a>
+</li>
<li>do_run()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_test_case.xhtml#a90b4bc2c4bae857bc3536f4a18e29772">TestCase</a>
, <a class="el" href="classarm__compute_1_1utils_1_1_example.xhtml#a90b4bc2c4bae857bc3536f4a18e29772">Example</a>
@@ -328,7 +356,7 @@
<!-- 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>