diff --git a/documentation/functions_0x7e.xhtml b/documentation/functions_0x7e.xhtml
index e728636..754d83d 100644
--- a/documentation/functions_0x7e.xhtml
+++ b/documentation/functions_0x7e.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
-   &#160;<span id="projectnumber">17.05</span>
+   <div id="projectname">Compute Library
+   &#160;<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&#160;Page</span></a></li>
+      <li><a href="pages.xhtml"><span>Related&#160;Pages</span></a></li>
       <li><a href="namespaces.xhtml"><span>Namespaces</span></a></li>
       <li class="current"><a href="annotated.xhtml"><span>Data&#160;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&#160;Functions</span></a></li>
     </ul>
   </div>
   <div id="navrow4" class="tabs3">
@@ -165,15 +169,42 @@
 <li>~AccessWindowStatic()
 : <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#a657392da3805fde373c0cef557739d08">AccessWindowStatic</a>
 </li>
+<li>~ActivationFunctions()
+: <a class="el" href="classarm__compute_1_1test_1_1_activation_functions.xhtml#a9ee2a40eb07f68ce93fdd237507e54da">ActivationFunctions</a>
+</li>
+<li>~AlexNetActivationLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_alex_net_activation_layer_dataset.xhtml#a5b76cec586279603bda733245d9d9ab4">AlexNetActivationLayerDataset</a>
+</li>
+<li>~AlexNetConvolutionLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_alex_net_convolution_layer_dataset.xhtml#ad63aab193b4b883af7f41e04cdb970d2">AlexNetConvolutionLayerDataset</a>
+</li>
+<li>~AlexNetFullyConnectedLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_alex_net_fully_connected_layer_dataset.xhtml#a168c22abbc4bef271bfded6f654eb097">AlexNetFullyConnectedLayerDataset</a>
+</li>
+<li>~AlexNetNormalizationLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset.xhtml#ad41a252238157b2dea193ff007b48884">AlexNetNormalizationLayerDataset</a>
+</li>
+<li>~AlexNetPoolingLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_alex_net_pooling_layer_dataset.xhtml#ac9ad38ac46135a495f08926024aea83a">AlexNetPoolingLayerDataset</a>
+</li>
+<li>~AllDataTypes()
+: <a class="el" href="classarm__compute_1_1test_1_1_all_data_types.xhtml#a0952079c7469b7f1161b1e9b9d0494dc">AllDataTypes</a>
+</li>
 <li>~CLAbsoluteDifferenceKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#aea6992684b565a3656dae7216a3be2d4">CLAbsoluteDifferenceKernel</a>
 </li>
+<li>~CLAccessor()
+: <a class="el" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558">CLAccessor</a>
+</li>
 <li>~CLArithmeticAdditionKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a7963f0e83a9b2ccc626701d97a89e76a">CLArithmeticAdditionKernel</a>
 </li>
 <li>~CLArithmeticSubtractionKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a582c6993688f726a39586d3d3c6352a6">CLArithmeticSubtractionKernel</a>
 </li>
+<li>~CLBatchNormalizationLayerKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#aafb7a9f7e113cbb1f93dd030a4994b4a">CLBatchNormalizationLayerKernel</a>
+</li>
 <li>~CLChannelCombineKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#aaab19adbe7aed0d2f1aa5a7bcb5edb64">CLChannelCombineKernel</a>
 </li>
@@ -186,12 +217,12 @@
 <li>~CLColorConvertKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a96d19d01c4797e1b38105b73613c46d0">CLColorConvertKernel</a>
 </li>
-<li>~CLConvolutionLayerWeightsReshapeKernel()
-: <a class="el" href="classarm__compute_1_1_c_l_convolution_layer_weights_reshape_kernel.xhtml#ab32afb44c79da5f80f07730a11d37060">CLConvolutionLayerWeightsReshapeKernel</a>
-</li>
 <li>~CLCopyToArrayKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a7fa1d109f0c6d72521e336fd3955cee9">CLCopyToArrayKernel</a>
 </li>
+<li>~CLDepthConcatenateKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_kernel.xhtml#a88ec361931b563961b73a6295030a60f">CLDepthConcatenateKernel</a>
+</li>
 <li>~CLDerivativeKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_derivative_kernel.xhtml#a83d38310c15f7b92264b5403ddd0bbda">CLDerivativeKernel</a>
 </li>
@@ -213,6 +244,18 @@
 <li>~CLHarrisScoreKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a2f0d90733f4575c7aca61716a655537e">CLHarrisScoreKernel</a>
 </li>
+<li>~CLHOGBlockNormalizationKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a0325a66cc953500b923a173c049f19ef">CLHOGBlockNormalizationKernel</a>
+</li>
+<li>~CLHOGDetector()
+: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_detector.xhtml#a0afb7ef9fbe6f4711284df081a88779b">CLHOGDetector</a>
+</li>
+<li>~CLHOGDetectorKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#a783ce2295ff8e64e4dd3d0ebaa54ed69">CLHOGDetectorKernel</a>
+</li>
+<li>~CLHOGOrientationBinningKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a71fb71d3440ccf4fbdf912c42ef18614">CLHOGOrientationBinningKernel</a>
+</li>
 <li>~CLLutAllocator()
 : <a class="el" href="classarm__compute_1_1_c_l_lut_allocator.xhtml#a864b976ba255c0cd2e1e2a848c89f4a3">CLLutAllocator</a>
 </li>
@@ -234,21 +277,66 @@
 <li>~CLSobel7x7VertKernel()
 : <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#ad22bc492781a9536130d81344e26b1b7">CLSobel7x7VertKernel</a>
 </li>
+<li>~CLSubTensor()
+: <a class="el" href="classarm__compute_1_1_c_l_sub_tensor.xhtml#a3f3d38e602db0a6af8ac5e932d798617">CLSubTensor</a>
+</li>
 <li>~CLTensorAllocator()
 : <a class="el" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#ac9bc36cf09ac63f2a33baafd3a0ef159">CLTensorAllocator</a>
 </li>
+<li>~CLWeightsReshapeKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#aa453358063eaac09ae587e87aacff69a">CLWeightsReshapeKernel</a>
+</li>
+<li>~CNNDataTypes()
+: <a class="el" href="classarm__compute_1_1test_1_1_c_n_n_data_types.xhtml#a9a3d919198982de98ca96e9190594536">CNNDataTypes</a>
+</li>
+<li>~CNNFixedPointDataTypes()
+: <a class="el" href="classarm__compute_1_1test_1_1_c_n_n_fixed_point_data_types.xhtml#a3550b2ceec442576fe86fbaf62605de3">CNNFixedPointDataTypes</a>
+</li>
+<li>~CNNFloatDataTypes()
+: <a class="el" href="classarm__compute_1_1test_1_1_c_n_n_float_data_types.xhtml#a7d5d498e36791d4618c7cf7aeb270c0e">CNNFloatDataTypes</a>
+</li>
 <li>~Coordinates()
 : <a class="el" href="classarm__compute_1_1_coordinates.xhtml#a71e1d115c447afe4c2ee05f3541be118">Coordinates</a>
 </li>
 <li>~CPPCornerCandidatesKernel()
 : <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a208c06a1b38f317679a9d5658020d907">CPPCornerCandidatesKernel</a>
 </li>
-<li>~Dimensions()
-: <a class="el" href="classarm__compute_1_1_dimensions.xhtml#ab5908ac7ee6593782fd6ec6caa0b70ff">Dimensions&lt; T &gt;</a>
+<li>~FixedPointDataTypes()
+: <a class="el" href="classarm__compute_1_1test_1_1_fixed_point_data_types.xhtml#a65378a6c862e02224b5d2d050fcc73e8">FixedPointDataTypes</a>
+</li>
+<li>~FloatDataTypes()
+: <a class="el" href="classarm__compute_1_1test_1_1_float_data_types.xhtml#af862580923b40426ecce0d19c4c699ae">FloatDataTypes</a>
+</li>
+<li>~GoogLeNetActivationLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_activation_layer_dataset.xhtml#a8874c687fb370a0843884113012166c4">GoogLeNetActivationLayerDataset</a>
+</li>
+<li>~GoogLeNetConvolutionLayerDataset1()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_convolution_layer_dataset1.xhtml#a91dd6c151995f04af9bb989672c2954c">GoogLeNetConvolutionLayerDataset1</a>
+</li>
+<li>~GoogLeNetConvolutionLayerDataset2()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_convolution_layer_dataset2.xhtml#af5e48483dea59a5e9aa73232066ca781">GoogLeNetConvolutionLayerDataset2</a>
+</li>
+<li>~GoogLeNetFullyConnectedLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_fully_connected_layer_dataset.xhtml#a4f39d63571a446b64e9cd879c5702e3b">GoogLeNetFullyConnectedLayerDataset</a>
+</li>
+<li>~GoogLeNetGEMMDataset1()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_g_e_m_m_dataset1.xhtml#a89d2ea188cc4a939e1c44d41612150d3">GoogLeNetGEMMDataset1</a>
+</li>
+<li>~GoogLeNetGEMMDataset2()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_g_e_m_m_dataset2.xhtml#af6d3a191acefa66a9c5b61f580aba0ca">GoogLeNetGEMMDataset2</a>
+</li>
+<li>~GoogLeNetNormalizationLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset.xhtml#af3ad13a4c004b8bf70c8d7f9d11930d7">GoogLeNetNormalizationLayerDataset</a>
+</li>
+<li>~GoogLeNetPoolingLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_pooling_layer_dataset.xhtml#aaa9cb5f826d3980485434984617f7ddf">GoogLeNetPoolingLayerDataset</a>
 </li>
 <li>~HOGInfo()
 : <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#ada121d63992678a09e1b3db5a2002bfa">HOGInfo</a>
 </li>
+<li>~IAccessor()
+: <a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a77512ec3cce8548d2b647d89f9bcfe7b">IAccessor</a>
+</li>
 <li>~IAccessWindow()
 : <a class="el" href="classarm__compute_1_1_i_access_window.xhtml#abc3996ab36cfa27811d661debfca5b5f">IAccessWindow</a>
 </li>
@@ -258,6 +346,9 @@
 <li>~ICLArray()
 : <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml#a0c95f444049eea7c7d14f6fd57ef40a1">ICLArray&lt; T &gt;</a>
 </li>
+<li>~ICLHOG()
+: <a class="el" href="classarm__compute_1_1_i_c_l_h_o_g.xhtml#a4f666198e882c54ee00dd2d7c5407df2">ICLHOG</a>
+</li>
 <li>~ICLSimpleKernel()
 : <a class="el" href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a0038fc9fcfaba0b247991f74395ef0fa">ICLSimpleKernel</a>
 </li>
@@ -288,6 +379,9 @@
 <li>~ILutAllocator()
 : <a class="el" href="classarm__compute_1_1_i_lut_allocator.xhtml#a9c34313e5cddaebce855b939e42efc32">ILutAllocator</a>
 </li>
+<li>~IMeasurement()
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_instrument_1_1_i_measurement.xhtml#a9b34c050433137679099116e318f2e4a">Instrument::IMeasurement</a>
+</li>
 <li>~IMultiHOG()
 : <a class="el" href="classarm__compute_1_1_i_multi_h_o_g.xhtml#a6698fe6d38d2bb18553ae37a5d1aa42c">IMultiHOG</a>
 </li>
@@ -297,15 +391,42 @@
 <li>~INEHarrisScoreKernel()
 : <a class="el" href="classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#af74d3413c9011d560c8a572037f4df9b">INEHarrisScoreKernel</a>
 </li>
+<li>~Instrument()
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_instrument.xhtml#a7bd8541cf37e6c439d4a6bf7296437a2">Instrument</a>
+</li>
 <li>~IPyramid()
 : <a class="el" href="classarm__compute_1_1_i_pyramid.xhtml#a2925d59af502d059fcb2326a6ada7867">IPyramid</a>
 </li>
+<li>~IScheduler()
+: <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a6d209385481644d97e7ca96072b73eb8">IScheduler</a>
+</li>
 <li>~ITensor()
 : <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a4aa2df36743089ac6814d83e7d4b7ffc">ITensor</a>
 </li>
 <li>~ITensorAllocator()
 : <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#a8378fc6c887231765b885f8033c7bb99">ITensorAllocator</a>
 </li>
+<li>~ITensorInfo()
+: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad998b50febf68540277e121a9c670bfa">ITensorInfo</a>
+</li>
+<li>~LargeFullyConnectedLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_large_fully_connected_layer_dataset.xhtml#ae575db5478672e92335fa67cc0052ef1">LargeFullyConnectedLayerDataset</a>
+</li>
+<li>~LargeGEMMDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_large_g_e_m_m_dataset.xhtml#abee6a3f8ecffa1a0783286ca27049a52">LargeGEMMDataset</a>
+</li>
+<li>~LeNet5ActivationLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_le_net5_activation_layer_dataset.xhtml#a19ab0221be71e7ce6013048e9df658a2">LeNet5ActivationLayerDataset</a>
+</li>
+<li>~LeNet5ConvolutionLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_le_net5_convolution_layer_dataset.xhtml#a9d60f79d015b1fc5a4361b12aea436cf">LeNet5ConvolutionLayerDataset</a>
+</li>
+<li>~LeNet5FullyConnectedLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_le_net5_fully_connected_layer_dataset.xhtml#a8874cb121830c9c22299747cb4fb2f53">LeNet5FullyConnectedLayerDataset</a>
+</li>
+<li>~LeNet5PoolingLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_le_net5_pooling_layer_dataset.xhtml#a1c9f63caf17231273ca80ea3eda96d39">LeNet5PoolingLayerDataset</a>
+</li>
 <li>~NEAbsoluteDifferenceKernel()
 : <a class="el" href="classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a8f920e3071a96d1cb1bf77dabced479e">NEAbsoluteDifferenceKernel</a>
 </li>
@@ -315,6 +436,9 @@
 <li>~NEArithmeticSubtractionKernel()
 : <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#aeb20f5092b85fd6c9a4deb6e59de7c03">NEArithmeticSubtractionKernel</a>
 </li>
+<li>~NEBatchNormalizationLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a5d323c6ced8450d0d3d76f5f58952a72">NEBatchNormalizationLayerKernel</a>
+</li>
 <li>~NEChannelCombineKernel()
 : <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a3b991bc19cdd8e7fb06de869a43c7799">NEChannelCombineKernel</a>
 </li>
@@ -327,8 +451,14 @@
 <li>~NEColorConvertKernel()
 : <a class="el" href="classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a0debe4186682c7d37935e3284dae5c09">NEColorConvertKernel</a>
 </li>
-<li>~NEConvolutionLayerWeightsReshapeKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_convolution_layer_weights_reshape_kernel.xhtml#a8ecbd77d12953d57bac078aebdd076e9">NEConvolutionLayerWeightsReshapeKernel</a>
+<li>~NEDepthConcatenateKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_kernel.xhtml#a98364fa112ac505c1b5f9abccd11051f">NEDepthConcatenateKernel</a>
+</li>
+<li>~NEDirectConvolutionLayerBiasAccumulateKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_bias_accumulate_kernel.xhtml#a0122bbcf061f48771f9513fdbfd50131">NEDirectConvolutionLayerBiasAccumulateKernel</a>
+</li>
+<li>~NEDirectConvolutionLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a59e6b01f2562366f54106175432079a0">NEDirectConvolutionLayerKernel</a>
 </li>
 <li>~NEEdgeNonMaxSuppressionKernel()
 : <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a78bad28117e1cbaaaf02a131a1a1400f">NEEdgeNonMaxSuppressionKernel</a>
@@ -438,24 +568,61 @@
 <li>~NETransposeKernel()
 : <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#ad93ab145c1014c9cd71ba6612df96b3c">NETransposeKernel</a>
 </li>
+<li>~NEWeightsReshapeKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a7337b121d4f8ca7978ed617297e6397b">NEWeightsReshapeKernel</a>
+</li>
 <li>~PyramidInfo()
 : <a class="el" href="classarm__compute_1_1_pyramid_info.xhtml#a443529237e92a4364aaf662644dfc686">PyramidInfo</a>
 </li>
+<li>~RandomBatchNormalizationLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_random_batch_normalization_layer_dataset.xhtml#a7d34f6b51eb580645c3aacd0c3708da3">RandomBatchNormalizationLayerDataset</a>
+</li>
+<li>~RandomPoolingLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_random_pooling_layer_dataset.xhtml#aafc364e22c9581ac9cdeca3c4cda3080">RandomPoolingLayerDataset</a>
+</li>
+<li>~RawTensor()
+: <a class="el" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a1ab8156de913df911b4ad1ad46f51313">RawTensor</a>
+</li>
+<li>~SignedDataTypes()
+: <a class="el" href="classarm__compute_1_1test_1_1_signed_data_types.xhtml#a6e3d3a40bde7f7da3e516bb5cdb7de4f">SignedDataTypes</a>
+</li>
+<li>~SmallConvolutionLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_small_convolution_layer_dataset.xhtml#a30e5a9ebd4aae8861c4d62a663ce5b34">SmallConvolutionLayerDataset</a>
+</li>
+<li>~SmallFullyConnectedLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_small_fully_connected_layer_dataset.xhtml#ab4240f6c22f858dd2a04d85938b6c196">SmallFullyConnectedLayerDataset</a>
+</li>
+<li>~SmallGEMMDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_small_g_e_m_m_dataset.xhtml#a67198a38c3257dac66f1d064a87741a3">SmallGEMMDataset</a>
+</li>
 <li>~Steps()
 : <a class="el" href="classarm__compute_1_1_steps.xhtml#a48c1f75c6cf7bdb28eeec6a795c5cf0d">Steps</a>
 </li>
 <li>~Strides()
 : <a class="el" href="classarm__compute_1_1_strides.xhtml#a64d502a8edb06439f9e095f92f99c227">Strides</a>
 </li>
+<li>~SubTensor()
+: <a class="el" href="classarm__compute_1_1_sub_tensor.xhtml#af1fc5900259cbc0bc26c9e6e28bb49b6">SubTensor</a>
+</li>
+<li>~SubTensorInfo()
+: <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#ad86e6a6af47f1b493eac9873f88b843f">SubTensorInfo</a>
+</li>
 <li>~Tensor()
 : <a class="el" href="classarm__compute_1_1_tensor.xhtml#ae55ef806b29ad70cd952e2c1508715ae">Tensor</a>
+, <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_tensor.xhtml#ae55ef806b29ad70cd952e2c1508715ae">Tensor&lt; T &gt;</a>
 </li>
 <li>~TensorInfo()
-: <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a39cbe92494f53364366a6cddde0b5741">TensorInfo</a>
+: <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4eb5913c3ce5fe2bcbaafd8c9224d384">TensorInfo</a>
 </li>
 <li>~TensorShape()
 : <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a29ff524f0e3378fb25a8447bdeed6ba9">TensorShape</a>
 </li>
+<li>~ThresholdDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1_threshold_dataset.xhtml#a942af256b5fbe87198c1ed6aa5ff69f6">ThresholdDataset</a>
+</li>
+<li>~UnsignedDataTypes()
+: <a class="el" href="classarm__compute_1_1test_1_1_unsigned_data_types.xhtml#a1eeb0250a1e711c6a9cfcec4c8998994">UnsignedDataTypes</a>
+</li>
 <li>~ValidRegion()
 : <a class="el" href="structarm__compute_1_1_valid_region.xhtml#a79da8c24f26e8107822842a008b3fc76">ValidRegion</a>
 </li>
@@ -465,7 +632,7 @@
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+    <li class="footer">Generated on Fri Jun 23 2017 15:44:36 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>
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