arm_compute v17.06
diff --git a/documentation/functions_g.xhtml b/documentation/functions_g.xhtml
index 996c828..d81a79b 100644
--- a/documentation/functions_g.xhtml
+++ b/documentation/functions_g.xhtml
@@ -6,7 +6,7 @@
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.11"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
-<title>ARM Compute Library: Data Fields</title>
+<title>Compute Library: Data Fields</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
@@ -39,8 +39,8 @@
<tbody>
<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
- <div id="projectname">ARM Compute Library
-  <span id="projectnumber">17.05</span>
+ <div id="projectname">Compute Library
+  <span id="projectnumber">v17.06</span>
</div>
</td>
</tr>
@@ -55,6 +55,7 @@
<div id="navrow1" class="tabs">
<ul class="tablist">
<li><a href="index.xhtml"><span>Main Page</span></a></li>
+ <li><a href="pages.xhtml"><span>Related Pages</span></a></li>
<li><a href="namespaces.xhtml"><span>Namespaces</span></a></li>
<li class="current"><a href="annotated.xhtml"><span>Data Structures</span></a></li>
<li><a href="files.xhtml"><span>Files</span></a></li>
@@ -89,7 +90,10 @@
<li class="current"><a href="functions.xhtml"><span>All</span></a></li>
<li><a href="functions_func.xhtml"><span>Functions</span></a></li>
<li><a href="functions_vars.xhtml"><span>Variables</span></a></li>
+ <li><a href="functions_type.xhtml"><span>Typedefs</span></a></li>
<li><a href="functions_enum.xhtml"><span>Enumerations</span></a></li>
+ <li><a href="functions_eval.xhtml"><span>Enumerator</span></a></li>
+ <li><a href="functions_rela.xhtml"><span>Related Functions</span></a></li>
</ul>
</div>
<div id="navrow4" class="tabs3">
@@ -156,24 +160,84 @@
<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_g"></a>- g -</h3><ul>
+<li>gemm()
+: <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a99422cae0054f3a9d4b6eb87402d8f11">ReferenceCPP</a>
+</li>
+<li>gemm_layer
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_g_e_m_m.xhtml#a54b05892eda284b570e48588ab714fa1">GEMM< DataSet, TensorType, Accessor, Function, data_type ></a>
+</li>
+<li>gemm_visitor()
+: <a class="el" href="structarm__compute_1_1test_1_1validation_1_1tensor__visitors_1_1gemm__visitor.xhtml#ae766e828cddee08ec8260e1f46c836a6">gemm_visitor</a>
+</li>
<li>get()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#aebe2d25607545d31f2b1ace6d60a81da">CLKernelLibrary</a>
, <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml#a60f9a6836b628a7171914c4afe43b4a7">CLScheduler</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#aace2d80849d3f1c113153053728f2922">CPPScheduler</a>
+, <a class="el" href="classarm__compute_1_1_o_m_p_scheduler.xhtml#a9571a5288c1b52189b63f9e1074768e3">OMPScheduler</a>
, <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#a8b08ca140cdafc88aa39ff660a1c477a">PixelValue</a>
+, <a class="el" href="classarm__compute_1_1_scheduler.xhtml#acb4f87f1831680d8d1b70e1bef06bb81">Scheduler</a>
+, <a class="el" href="classarm__compute_1_1_single_thread_scheduler.xhtml#ad2239fa50e4adfc02e94407d0b846077">SingleThreadScheduler</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_program_options.xhtml#ad9477503abc6ea34d01994c663261cc7">ProgramOptions</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_tensor_library.xhtml#a34e94c998e4527d9556ccc5da82765fd">TensorLibrary</a>
+</li>
+<li>get_classifications()
+: <a class="el" href="classarm__compute_1_1test_1_1model__objects_1_1_alex_net.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">AlexNet< ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction, dt, fixed_point_position ></a>
+, <a class="el" href="classarm__compute_1_1test_1_1model__objects_1_1_le_net5.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">LeNet5< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
+</li>
+<li>get_help()
+: <a class="el" href="classarm__compute_1_1test_1_1_program_options.xhtml#a9b576b0164ac6ad02b26f8b5b01575ba">ProgramOptions</a>
+</li>
+<li>get_measurement()
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_cycle_counter.xhtml#a4c6dc9d669d56a96f44c30075bda5f04">CycleCounter</a>
+, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_instruction_counter.xhtml#a4c6dc9d669d56a96f44c30075bda5f04">InstructionCounter</a>
+, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_instrument.xhtml#a303d89af0281be803df4f5569ee8d420">Instrument</a>
+, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_wall_clock_timer.xhtml#a4c6dc9d669d56a96f44c30075bda5f04">WallClockTimer</a>
</li>
<li>get_pyramid_level()
: <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#af07bb423a5c0df8018b67c0e94fada02">CLPyramid</a>
, <a class="el" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">IPyramid</a>
, <a class="el" href="classarm__compute_1_1_pyramid.xhtml#a4187fb90f552249901da9febb67d8b7a">Pyramid</a>
</li>
+<li>get_target()
+: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a646cd535a16835b246c3367a63d96250">ICLKernel</a>
+</li>
+<li>get_tensor()
+: <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_tensor_factory.xhtml#a274412527b3a8887c3ccd50de85de522">TensorFactory</a>
+</li>
+<li>get_type()
+: <a class="el" href="classarm__compute_1_1_scheduler.xhtml#ab394515f710c2aac0f132ecc0b9323d9">Scheduler</a>
+</li>
+<li>GoogLeNetActivationLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_activation_layer_dataset.xhtml#af33d55895f6171a96db2c6b0c4ca1684">GoogLeNetActivationLayerDataset</a>
+</li>
+<li>GoogLeNetConvolutionLayerDataset1()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_convolution_layer_dataset1.xhtml#ae72efc89a2de89f39a7e4e0344b4878d">GoogLeNetConvolutionLayerDataset1</a>
+</li>
+<li>GoogLeNetConvolutionLayerDataset2()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_convolution_layer_dataset2.xhtml#a38fd5cbd108feaedb67ee720042389f3">GoogLeNetConvolutionLayerDataset2</a>
+</li>
+<li>GoogLeNetFullyConnectedLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_fully_connected_layer_dataset.xhtml#a6cced1b6880c09f2438fcfb6225907ff">GoogLeNetFullyConnectedLayerDataset</a>
+</li>
+<li>GoogLeNetGEMMDataset1()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_g_e_m_m_dataset1.xhtml#a0c309f9d9c5cfd3e88982e963c0bce7f">GoogLeNetGEMMDataset1</a>
+</li>
+<li>GoogLeNetGEMMDataset2()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_g_e_m_m_dataset2.xhtml#aaf6bd52d1cf73188877277447a4d9fe0">GoogLeNetGEMMDataset2</a>
+</li>
+<li>GoogLeNetNormalizationLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset.xhtml#a7a6a58ca4e08f67750f459945fe0f24a">GoogLeNetNormalizationLayerDataset</a>
+</li>
+<li>GoogLeNetPoolingLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_pooling_layer_dataset.xhtml#a95a0c460cf0cf350a62feb0c15a26bfa">GoogLeNetPoolingLayerDataset</a>
+</li>
</ul>
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- <li class="footer">Generated on Wed May 3 2017 17:20:05 for ARM Compute Library by
+ <li class="footer">Generated on Fri Jun 23 2017 15:44:36 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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