arm_compute v18.05
diff --git a/documentation/functions_l.xhtml b/documentation/functions_l.xhtml
index 3c5ac5b..ac9d425 100644
--- a/documentation/functions_l.xhtml
+++ b/documentation/functions_l.xhtml
@@ -40,7 +40,7 @@
<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
<div id="projectname">Compute Library
-  <span id="projectnumber">18.03</span>
+  <span id="projectnumber">18.05</span>
</div>
</td>
</tr>
@@ -160,90 +160,15 @@
<div class="textblock">Here is a list of all struct and union fields with links to the structures/unions they belong to:</div>
<h3><a class="anchor" id="index_l"></a>- l -</h3><ul>
-<li>L1_size
-: <a class="el" href="structarm__compute_1_1_c_p_u_info.xhtml#a0e8d29c6cc88ce681fe232da0cb614e2">CPUInfo</a>
-</li>
-<li>l2_features
-: <a class="el" href="structmali__userspace_1_1gpu__raw__gpu__props.xhtml#ac43285c40b4df088d494e07b6fb76f41">gpu_raw_gpu_props</a>
-</li>
<li>l2_hyst_threshold()
: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a954d05635b1ff48daffdd70d8a1a6443">HOGInfo</a>
</li>
-<li>l2_present
-: <a class="el" href="structmali__userspace_1_1gpu__raw__gpu__props.xhtml#aabf7c308eb5644f8646a49f1a2e0b695">gpu_raw_gpu_props</a>
-</li>
-<li>l2_props
-: <a class="el" href="structmali__userspace_1_1mali__base__gpu__props.xhtml#a4193aea50da07eccf8f85776c16b3678">mali_base_gpu_props</a>
-</li>
-<li>L2_size
-: <a class="el" href="structarm__compute_1_1_c_p_u_info.xhtml#a276e27ae1a809ead22c3094e8be1092d">CPUInfo</a>
-</li>
-<li>L2NormalizeLayer()
-: <a class="el" href="classarm__compute_1_1graph_1_1_l2_normalize_layer.xhtml#ae6c901659a168b351b78a8eaeed4810f">L2NormalizeLayer</a>
-</li>
-<li>Large1DShapes()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large1_d_shapes.xhtml#af537cfa758eca0ba6254354cf29bb35a">Large1DShapes</a>
-</li>
-<li>Large2DShapes()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes.xhtml#aec6e35680c5a27de50d771cc7a4ab568">Large2DShapes</a>
-</li>
-<li>Large3DShapes()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes.xhtml#aa6c076c0bc51f626dc92e460434f39a0">Large3DShapes</a>
-</li>
-<li>Large4DShapes()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes.xhtml#aeca085a1350713335ede663fcbcfe5f0">Large4DShapes</a>
-</li>
-<li>LargeConvolutionLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large_convolution_layer_dataset.xhtml#a5fc2698fe3f094b4c7900606ee1b699b">LargeConvolutionLayerDataset</a>
-</li>
-<li>LargeDepthwiseConvolutionLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large_depthwise_convolution_layer_dataset.xhtml#ab2efa4ae1cce5452df4fd6827043c21d">LargeDepthwiseConvolutionLayerDataset</a>
-</li>
-<li>LargeDepthwiseConvolutionLayerDataset3x3()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large_depthwise_convolution_layer_dataset3x3.xhtml#aa0e96d1eaa61f7c1664f2495a00b48ac">LargeDepthwiseConvolutionLayerDataset3x3</a>
-</li>
-<li>LargeFullyConnectedLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large_fully_connected_layer_dataset.xhtml#a67e061497f9e20d506a0016a13f76829">LargeFullyConnectedLayerDataset</a>
-</li>
-<li>LargeGEMMDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large_g_e_m_m_dataset.xhtml#aae88224f4fa8355a2453aa0f8c82ff81">LargeGEMMDataset</a>
-</li>
-<li>LargeGEMMLowpDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large_g_e_m_m_lowp_dataset.xhtml#a641962fb8e0dc88399b7ac06b1e574da">LargeGEMMLowpDataset</a>
-</li>
-<li>LargeHOGDescriptorDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large_h_o_g_descriptor_dataset.xhtml#aa25e040e8c459bcdd5321da95aa6517c">LargeHOGDescriptorDataset</a>
-</li>
-<li>LargeImageFiles()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large_image_files.xhtml#ab5d10e431be452a04cff8effae2c425d">LargeImageFiles</a>
-</li>
-<li>LargeImageShapes()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large_image_shapes.xhtml#abe0fe955d4585a33d14e526d99374c22">LargeImageShapes</a>
-</li>
-<li>LargeScaleLayerShapes()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large_scale_layer_shapes.xhtml#a13f7fea95075b8f47e846ddff399b1e5">LargeScaleLayerShapes</a>
-</li>
-<li>LargeShapes()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml#a9715c2e5fcad0e230de11c4f66ecf8a3">LargeShapes</a>
-</li>
-<li>LargeShapesBroadcast()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes_broadcast.xhtml#a36423f389d3779c338041d95532dcdb2">LargeShapesBroadcast</a>
+<li>layout
+: <a class="el" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a4b52bb397c7296e8efe864967b44f97e">TensorDescriptor</a>
</li>
<li>left
: <a class="el" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">BorderSize</a>
</li>
-<li>LeNet5ActivationLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_activation_layer_dataset.xhtml#a1214ab786c67321e2b26ed65c778ca34">LeNet5ActivationLayerDataset</a>
-</li>
-<li>LeNet5ConvolutionLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_convolution_layer_dataset.xhtml#a3a52dcbb8d093d9899337cb9c022aa59">LeNet5ConvolutionLayerDataset</a>
-</li>
-<li>LeNet5FullyConnectedLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_fully_connected_layer_dataset.xhtml#a3e6b1264353f809d02913c6d10a5530f">LeNet5FullyConnectedLayerDataset</a>
-</li>
-<li>LeNet5PoolingLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_pooling_layer_dataset.xhtml#af6e1aa0a2104e54eac9fe81f66098d10">LeNet5PoolingLayerDataset</a>
-</li>
<li>level()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_test_error.xhtml#a20b426e4b9bb65d7a0b9316022d0adef">TestError</a>
</li>
@@ -264,8 +189,7 @@
: <a class="el" href="classarm__compute_1_1_c_l_symbols.xhtml#a32db0706b9c174ef7238a15760e232fe">CLSymbols</a>
</li>
<li>load_binary()
-: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a389a543ae040ca6bf6b57fd6215f154b">CLKernelLibrary</a>
-, <a class="el" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a389a543ae040ca6bf6b57fd6215f154b">GCKernelLibrary</a>
+: <a class="el" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a389a543ae040ca6bf6b57fd6215f154b">GCKernelLibrary</a>
</li>
<li>load_default()
: <a class="el" href="classarm__compute_1_1_c_l_symbols.xhtml#a7d9b5b93ad5e6018700fa36de6e1e279">CLSymbols</a>
@@ -281,15 +205,6 @@
: <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#a50292ee16d3334856912eb89cffbcf83">Logger</a>
, <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a33520868a877b6b9a1beccdc1aaa4ec6">functions</a>
</li>
-<li>log2_cache_size
-: <a class="el" href="structmali__userspace_1_1mali__base__gpu__l2__cache__props.xhtml#a02e11ef7261377c49ecd08c05e552a46">mali_base_gpu_l2_cache_props</a>
-</li>
-<li>log2_line_size
-: <a class="el" href="structmali__userspace_1_1mali__base__gpu__l2__cache__props.xhtml#ac2c3f9fcb566aea0271e84655e5473b8">mali_base_gpu_l2_cache_props</a>
-</li>
-<li>log2_program_counter_size
-: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#a507618a0efdab12eecea9dc29e32e84c">mali_base_gpu_core_props</a>
-</li>
<li>log_failed_expectation()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a0128e62cd67888b56078dac05dd59761">Framework</a>
</li>
@@ -329,20 +244,26 @@
: <a class="el" href="classarm__compute_1_1logging_1_1_logger_registry.xhtml#af7e425a747fcb8467d6577fad81fcb6c">LoggerRegistry</a>
</li>
<li>LogMsg()
-: <a class="el" href="structarm__compute_1_1logging_1_1_log_msg.xhtml#a8c55b53c8a48244a70681a7e09f08045">LogMsg</a>
+: <a class="el" href="structarm__compute_1_1logging_1_1_log_msg.xhtml#a7a52b7ac5573a192829860829803041c">LogMsg</a>
+</li>
+<li>LSTMParams()
+: <a class="el" href="classarm__compute_1_1_l_s_t_m_params.xhtml#addc401e45b660bdd3c8e27828b88d036">LSTMParams< T ></a>
</li>
<li>lubrelu()
: <a class="el" href="structarm__compute_1_1detail_1_1lubrelu.xhtml#acc201840dbd6c9794d282209aae9b19f">lubrelu< T, S ></a>
</li>
<li>Lut()
-: <a class="el" href="classarm__compute_1_1_lut.xhtml#a0f61968969758af458b1bb644445cb4d">Lut</a>
+: <a class="el" href="classarm__compute_1_1_lut.xhtml#adad4e75f50babe21da02638fa2cfb9d1">Lut</a>
</li>
<li>LutAccessor()
-: <a class="el" href="classarm__compute_1_1test_1_1_lut_accessor.xhtml#ae99963d5a188fc22b0943680f9d463ad">LutAccessor< T ></a>
+: <a class="el" href="classarm__compute_1_1test_1_1_lut_accessor.xhtml#ac8490a0e13403aa46250b736a3a9b1cc">LutAccessor< T ></a>
</li>
<li>LutAllocator()
: <a class="el" href="classarm__compute_1_1_lut_allocator.xhtml#a5fdb67ad7cf44fcbc5bf7bd0a7a1ca09">LutAllocator</a>
</li>
+<li>lws_hint()
+: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a0737b867334392d5dc5c2e3291d67dbf">ICLKernel</a>
+</li>
<li>lws_table()
: <a class="el" href="classarm__compute_1_1_c_l_tuner.xhtml#a14d465f5c80ab980a9f5611eb80fa43c">CLTuner</a>
</li>
@@ -352,7 +273,7 @@
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
- <li class="footer">Generated on Fri Mar 2 2018 12:38:02 for Compute Library by
+ <li class="footer">Generated on Wed May 23 2018 11:36:46 for Compute Library by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
</ul>