arm_compute v19.11
diff --git a/documentation/functions_a.xhtml b/documentation/functions_a.xhtml
index 06fa394..9f8ea19 100644
--- a/documentation/functions_a.xhtml
+++ b/documentation/functions_a.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">19.08</span>
+  <span id="projectnumber">19.11</span>
</div>
</td>
</tr>
@@ -111,6 +111,11 @@
<li>A22
: <a class="el" href="structarm__compute_1_1_c_l_coefficient_table.xhtml#a20800b3d0475448767d2b30c530e1e29">CLCoefficientTable</a>
</li>
+<li>absolute_tolerance
+: <a class="el" href="classarm__compute_1_1utils_1_1_common_graph_validate_options.xhtml#ae34b3428ac86441ca6ecab0ea1b24290">CommonGraphValidateOptions</a>
+, <a class="el" href="structarm__compute_1_1utils_1_1_verification_params.xhtml#a391ce7e414170c2816119402b217397f">VerificationParams</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_verify_accessor.xhtml#a5c8865138486a8c43f6f8902bd94ab1f">VerifyAccessor< D ></a>
+</li>
<li>AbsoluteTolerance()
: <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml#a98a801b3455152020b7543995eeb3224">AbsoluteTolerance< T ></a>
</li>
@@ -124,6 +129,7 @@
, <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ConvolutionLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">DeconvolutionLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">DepthwiseConvolutionLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_dequantization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">DequantizationLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">DetectionOutputLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">DetectionPostProcessLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_dummy_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">DummyNode</a>
@@ -162,17 +168,19 @@
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">NumPyAccessor</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca">NumPyBinLoader</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#ab469d593b4bc92e1d1132a03de0aedca">PPMWriter</a>
+, <a class="el" href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">PrintAccessor</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">RandomAccessor</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">SaveNumPyAccessor</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">TopNPredictionsAccessor</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">ValidationInputAccessor</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">ValidationOutputAccessor</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_verify_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">VerifyAccessor< D ></a>
</li>
<li>accessor()
: <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a761495426edf3b875f67a8f4c3a199b5">Tensor</a>
</li>
<li>Accessor()
-: <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#a7bdc67f33b1dceb2c6d6d12ea784166a">Accessor</a>
+: <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#a1dc30c7bdc2d650f29ed45ec5110a0c6">Accessor</a>
</li>
<li>AccessWindowAutoPadding()
: <a class="el" href="classarm__compute_1_1_access_window_auto_padding.xhtml#a55ae8ac3b55093b24fe30805828de164">AccessWindowAutoPadding</a>
@@ -193,14 +201,16 @@
: <a class="el" href="classarm__compute_1_1_blob_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6">BlobMemoryPool</a>
, <a class="el" href="classarm__compute_1_1_i_memory_group.xhtml#accdbc89f54447d25dfc018d38070f4ea">IMemoryGroup</a>
, <a class="el" href="classarm__compute_1_1_i_memory_pool.xhtml#a064f06f20fc565efbb2227aac827c12f">IMemoryPool</a>
-, <a class="el" href="classarm__compute_1_1_memory_group_base.xhtml#a8d16047fa6fdcf5f5453056cc0e1daba">MemoryGroupBase< TensorType ></a>
+, <a class="el" href="classarm__compute_1_1_i_weights_manager.xhtml#a9b3e3aff065fafe490a5e190bf530ada">IWeightsManager</a>
+, <a class="el" href="classarm__compute_1_1_memory_group.xhtml#a8d16047fa6fdcf5f5453056cc0e1daba">MemoryGroup</a>
, <a class="el" href="classarm__compute_1_1_offset_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6">OffsetMemoryPool</a>
</li>
<li>activation()
: <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a9e0fb1d1462557f28966ae19988532c2">ActivationLayerInfo</a>
</li>
-<li>activation_info()
-: <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml#a39a8dd296461705ee5cb54eacb4b2818">GEMMInfo</a>
+<li>activation_info
+: <a class="el" href="structarm__compute_1_1_d_w_c_kernel_info.xhtml#ad5f55d98fbe268b4eb6225aca14a2403">DWCKernelInfo</a>
+, <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml#a39a8dd296461705ee5cb54eacb4b2818">GEMMInfo</a>
, <a class="el" href="structarm__compute_1_1_g_e_m_m_kernel_info.xhtml#ad5f55d98fbe268b4eb6225aca14a2403">GEMMKernelInfo</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a39a8dd296461705ee5cb54eacb4b2818">ActivationLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a39a8dd296461705ee5cb54eacb4b2818">YOLOLayerNode</a>
@@ -220,6 +230,8 @@
<li>add()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a9a2cd15d64a87642898d68b060a5afa9">Profiler</a>
, <a class="el" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1">TensorCache</a>
+, <a class="el" href="class_gemm_tuner_1_1_g_e_m_m_benchmark_result_recorder.xhtml#af9db75613721e5fa69e3af9697ca8dc5">GEMMBenchmarkResultRecorder</a>
+, <a class="el" href="class_gemm_tuner_1_1_g_e_m_m_config_distribution.xhtml#af9db75613721e5fa69e3af9697ca8dc5">GEMMConfigDistribution</a>
</li>
<li>add_1D_array_argument()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">ICLKernel</a>
@@ -293,6 +305,9 @@
<li>add_depthwise_convolution_node()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9c59d071c7e6c2574e1d5587ba50949c">GraphBuilder</a>
</li>
+<li>add_dequantization_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a50410fc54c8540887d600849043327d5">GraphBuilder</a>
+</li>
<li>add_detection_output_node()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aff2fa3e8e802bcefd6fdd5780aa096e1">GraphBuilder</a>
</li>
@@ -309,7 +324,7 @@
: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a639fab29a682a532ca20615210b366ad">GraphBuilder</a>
</li>
<li>add_fully_connected_layer()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a062b8d10479fc87e651ed240263b78df">GraphBuilder</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aae4c638ec880f2bd9ff29e072e8f34e5">GraphBuilder</a>
</li>
<li>add_generate_proposals_node()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a8965f4ef424a3b9142706cfe50b7e6cf">GraphBuilder</a>
@@ -477,6 +492,9 @@
<li>are_reshaped()
: <a class="el" href="classarm__compute_1_1_weights_info.xhtml#a54a5271cc6a1b58827a9b3f58ec5ba56">WeightsInfo</a>
</li>
+<li>are_weights_managed()
+: <a class="el" href="classarm__compute_1_1_i_weights_manager.xhtml#a386f2182d06bad88bffebd18ace91f46">IWeightsManager</a>
+</li>
<li>are_weights_reshaped
: <a class="el" href="structarm__compute_1_1_fully_connected_layer_info.xhtml#a146a7be9d813ad80abb72a0bf6566cbc">FullyConnectedLayerInfo</a>
</li>
@@ -487,7 +505,7 @@
: <a class="el" href="classarm__compute_1_1_array.xhtml#af9474cac29f3177edf5e8d72ea4a440c">Array< T ></a>
</li>
<li>ArrayAccessor()
-: <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#aee13ff9244f68f7aa23d2a4d7a26a6ef">ArrayAccessor< T ></a>
+: <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#ab3668a4ef621da1b5a02fd25c81fee3a">ArrayAccessor< T ></a>
</li>
<li>arrive_and_wait()
: <a class="el" href="classarm__gemm_1_1barrier.xhtml#ab3a1638fb79fab8886ce5aaccf9d4f7e">barrier</a>
@@ -495,12 +513,22 @@
<li>aspect_ratios()
: <a class="el" href="classarm__compute_1_1_prior_box_layer_info.xhtml#a6a8ad2364ce45d0cb7c6938544711f7c">PriorBoxLayerInfo</a>
</li>
+<li>asset_manager()
+: <a class="el" href="classarm__compute_1_1_i_runtime_context.xhtml#aa2c17793f71ecb166b947f0eab98bfc5">IRuntimeContext</a>
+, <a class="el" href="classarm__compute_1_1_runtime_context.xhtml#a2aecd3530be7fc6db21549eb7ee221d5">RuntimeContext</a>
+</li>
<li>AssetsLibrary()
: <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#adb53338108890e6b7354e16a1e9ae716">AssetsLibrary</a>
</li>
<li>assigned_target()
: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#aa26cd423e8fc9233bd2bff46f82f46ab">INode</a>
</li>
+<li>associate_memory_group()
+: <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#ad702fefc10e889efafeab8a514aee30b">CLTensor</a>
+, <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#ad702fefc10e889efafeab8a514aee30b">GCTensor</a>
+, <a class="el" href="classarm__compute_1_1_i_memory_manageable.xhtml#ace3160d9bb6fdcf5e9973baaaa1fef08">IMemoryManageable</a>
+, <a class="el" href="classarm__compute_1_1_tensor.xhtml#ad702fefc10e889efafeab8a514aee30b">Tensor</a>
+</li>
<li>at()
: <a class="el" href="classarm__compute_1_1_i_array.xhtml#a9deaea40b2409ee68d354bdb9d3f8443">IArray< T ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#aa733629a56800aca0b5cb4608069718b">ArrayAccessor< T ></a>
@@ -532,7 +560,7 @@
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
- <li class="footer">Generated on Mon Sep 2 2019 11:47:42 for Compute Library by
+ <li class="footer">Generated on Thu Nov 28 2019 16:53:21 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>