arm_compute v17.06
diff --git a/documentation/functions_func_n.xhtml b/documentation/functions_func_n.xhtml
index 7d2eb71..a57052f 100644
--- a/documentation/functions_func_n.xhtml
+++ b/documentation/functions_func_n.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 - Functions</title>
+<title>Compute Library: Data Fields - Functions</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><a href="functions.xhtml"><span>All</span></a></li>
<li class="current"><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">
@@ -162,6 +166,9 @@
<li>NEAbsoluteDifferenceKernel()
: <a class="el" href="classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a3ea3f6066aa44e4322fe392abc8d6b3d">NEAbsoluteDifferenceKernel</a>
</li>
+<li>NEAccessor()
+: <a class="el" href="classarm__compute_1_1test_1_1neon_1_1_n_e_accessor.xhtml#a076a3ffe3a09275f397a02a33e098c79">NEAccessor</a>
+</li>
<li>NEAccumulateSquaredKernel()
: <a class="el" href="classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#a160d96f1b3b6fc7b1f5e8fd10617e34e">NEAccumulateSquaredKernel</a>
</li>
@@ -172,10 +179,16 @@
: <a class="el" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#af5c940969e40e1ae12411bb025a117f2">NEActivationLayerKernel</a>
</li>
<li>NEArithmeticAdditionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ad336181c06f2c2983212849bd9ebcd35">NEArithmeticAdditionKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a109cb6df60acd8ec449f321a239750cc">NEArithmeticAdditionKernel</a>
</li>
<li>NEArithmeticSubtractionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a6501ef61f473949fc980b4ada8e18bad">NEArithmeticSubtractionKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a5f1869dd5ea404e5f6b110ec5e356320">NEArithmeticSubtractionKernel</a>
+</li>
+<li>NEBatchNormalizationLayer()
+: <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a25b4f1a6a344fa184fb639cc794a6994">NEBatchNormalizationLayer</a>
+</li>
+<li>NEBatchNormalizationLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a919d4b5219114921ee77fb603f27293d">NEBatchNormalizationLayerKernel</a>
</li>
<li>NEBitwiseAndKernel()
: <a class="el" href="classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a1b109ddb7c5e104d2f294cdb4b3c8046">NEBitwiseAndKernel</a>
@@ -184,7 +197,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#aa395e9208cb5dda01e4197ead2a0f5a0">NEBitwiseNotKernel</a>
</li>
<li>NEBitwiseOrKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#afaa91b93bf4940fac54f1bb0572249a7">NEBitwiseOrKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#af0c3c31d8e79830db8b20ba760a3f353">NEBitwiseOrKernel</a>
</li>
<li>NEBitwiseXorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#aa5786af8781e59574815a07c6746943a">NEBitwiseXorKernel</a>
@@ -193,7 +206,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_canny_edge.xhtml#ae42141847e0a4f706223a1f71d435451">NECannyEdge</a>
</li>
<li>NEChannelCombineKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a4ed070d1cc30490bb12259e2c47272b6">NEChannelCombineKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#aad5d3f2c658449874943ee6825a25715">NEChannelCombineKernel</a>
</li>
<li>NEChannelExtractKernel()
: <a class="el" href="classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a61c8ec45550ad9df947ffb7d6fe81fb9">NEChannelExtractKernel</a>
@@ -210,8 +223,8 @@
<li>NEConvolutionLayer()
: <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml#aa2ce2873b0d3a07ac896633115c5ab07">NEConvolutionLayer</a>
</li>
-<li>NEConvolutionLayerWeightsReshapeKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_convolution_layer_weights_reshape_kernel.xhtml#a8c02b4166b202028f653aba36f21a024">NEConvolutionLayerWeightsReshapeKernel</a>
+<li>NEConvolutionLayerReshapeWeights()
+: <a class="el" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a0b04a8831ea6ef4d064055ddbb2d4d8f">NEConvolutionLayerReshapeWeights</a>
</li>
<li>NEConvolutionRectangleKernel()
: <a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">NEConvolutionRectangleKernel</a>
@@ -222,6 +235,12 @@
<li>NECumulativeDistributionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a6fa25b9f56915d8a179725e5bab75640">NECumulativeDistributionKernel</a>
</li>
+<li>NEDepthConcatenate()
+: <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate.xhtml#adf3e2d504472233c76388f70bff6101b">NEDepthConcatenate</a>
+</li>
+<li>NEDepthConcatenateKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_kernel.xhtml#a4880df012e54527011b1aab3673bfcbd">NEDepthConcatenateKernel</a>
+</li>
<li>NEDepthConvert()
: <a class="el" href="classarm__compute_1_1_n_e_depth_convert.xhtml#a04fc944cc2e562f29c8b1099566cc07e">NEDepthConvert</a>
</li>
@@ -234,8 +253,17 @@
<li>NEDerivativeKernel()
: <a class="el" href="classarm__compute_1_1_n_e_derivative_kernel.xhtml#ac317d66b746c86ea136eb7996c897b22">NEDerivativeKernel</a>
</li>
+<li>NEDirectConvolutionLayer()
+: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#ab7715fe0ef408fe4f6712f759868f384">NEDirectConvolutionLayer</a>
+</li>
+<li>NEDirectConvolutionLayerBiasAccumulateKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_bias_accumulate_kernel.xhtml#ac8b6093526b60ca075386f7b474f0508">NEDirectConvolutionLayerBiasAccumulateKernel</a>
+</li>
+<li>NEDirectConvolutionLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ac0cdf0dbaff299b1359714a7f70d6072">NEDirectConvolutionLayerKernel</a>
+</li>
<li>NEEdgeNonMaxSuppressionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a4403ce6bb21831222942bb8904201e42">NEEdgeNonMaxSuppressionKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a7e3beb7abd77b10e6630ae83f33e558b">NEEdgeNonMaxSuppressionKernel</a>
</li>
<li>NEEdgeTraceKernel()
: <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a612c2d90812d66a7ce4c2f588b5845c4">NEEdgeTraceKernel</a>
@@ -261,6 +289,12 @@
<li>NEFullyConnectedLayer()
: <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a9a5cc50098bbd29bd8cd04040f7f0fe1">NEFullyConnectedLayer</a>
</li>
+<li>NEFullyConnectedLayerReshapeWeights()
+: <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#a4639bd3c3d40cc1c8272537a2f6cadd8">NEFullyConnectedLayerReshapeWeights</a>
+</li>
+<li>negate()
+: <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#aa78731a2479da19c6604b3baa3ffe33d">functions</a>
+</li>
<li>NEGaussian5x5()
: <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5.xhtml#a68588d8d5582ef6c0ad8fea6ac77dd25">NEGaussian5x5</a>
</li>
@@ -301,7 +335,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ab2165f92396a03786cf5e499c4d0e62c">NEGEMMMatrixAdditionKernel</a>
</li>
<li>NEGEMMMatrixMultiplyKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#aeef5692e383060fe73ee1eb989b96ad4">NEGEMMMatrixMultiplyKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a24f041a22aab638f430bfd66897b5f54">NEGEMMMatrixMultiplyKernel</a>
</li>
<li>NEGradientKernel()
: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a7da52d0627026b852dc51dbab82a978b">NEGradientKernel</a>
@@ -336,11 +370,8 @@
<li>NEHOGMultiDetection()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#a463ea561c0ec68b57bccc5f4b2485ac8">NEHOGMultiDetection</a>
</li>
-<li>NEHOGNonMaximaSuppressionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_non_maxima_suppression_kernel.xhtml#afb444379f57371804cf7b586bea94115">NEHOGNonMaximaSuppressionKernel</a>
-</li>
<li>NEHOGOrientationBinningKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a5a1b3543ffcd941a0f3b5bc2b058c92e">NEHOGOrientationBinningKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#afc6437925dc58e28a8d317e9ef64560f">NEHOGOrientationBinningKernel</a>
</li>
<li>NEIm2ColKernel()
: <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#aec5fb874227c941e8ac14de3d29e543b">NEIm2ColKernel</a>
@@ -352,7 +383,13 @@
: <a class="el" href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#a1490de9008819d066ff78159afb03fe0">NELaplacianReconstruct</a>
</li>
<li>NELKTrackerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a10e6214af1515f5916f93dddd1bb3124">NELKTrackerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#aca5d353ec5bfccdae41b2f647adb3da8">NELKTrackerKernel</a>
+</li>
+<li>NELocallyConnectedLayer()
+: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_layer.xhtml#aa9740408c5c90d7a09c3d91bd7ffd4cc">NELocallyConnectedLayer</a>
+</li>
+<li>NELocallyConnectedMatrixMultiplyKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a3acd16d134e4f9fcca7a2929375194dd">NELocallyConnectedMatrixMultiplyKernel</a>
</li>
<li>NELogits1DMaxKernel()
: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a7dcfcda37359d31c2510ad865f4ca051">NELogits1DMaxKernel</a>
@@ -364,7 +401,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a47f13f5423a3a7e32d82e74a6c918cac">NELogits1DShiftExpSumKernel</a>
</li>
<li>NEMagnitudePhaseFP16Kernel()
-: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_f_p16_kernel.xhtml#a67985137eb73958ea7b152935484332c">NEMagnitudePhaseFP16Kernel< mag_type, phase_type ></a>
+: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_f_p16_kernel.xhtml#a2f7cd06c45fa0bdbd7ffe971aeebf6bf">NEMagnitudePhaseFP16Kernel< mag_type, phase_type ></a>
</li>
<li>NEMagnitudePhaseKernel()
: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a53c147feec3c6f2912779194fa2b5513">NEMagnitudePhaseKernel< mag_type, phase_type ></a>
@@ -373,7 +410,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev.xhtml#a08ebd3b5f0e06c72c512d799cd9fccd2">NEMeanStdDev</a>
</li>
<li>NEMeanStdDevKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a1a1acc45068c69bc66b6d5d530d7b63f">NEMeanStdDevKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a6a85f552b312ad2560ae02676db95f9e">NEMeanStdDevKernel</a>
</li>
<li>NEMinMaxKernel()
: <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a14c484d0c1759b7163e3691ea1bb8bb5">NEMinMaxKernel</a>
@@ -385,28 +422,28 @@
: <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a41c506659961dcf1f935ae6e349f0d54">NEMinMaxLocationKernel</a>
</li>
<li>NENonLinearFilterKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a96fdf0f338c5dc5cee8fc2cad8b37b6b">NENonLinearFilterKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#af7d8f3eac26e577c2c1754a7c2dab402">NENonLinearFilterKernel</a>
</li>
<li>NENonMaximaSuppression3x3Kernel()
-: <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#aef9f048495848c9d8af9939009c363fc">NENonMaximaSuppression3x3Kernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#ae4b41758a959cb874f3d8a179fd37a7e">NENonMaximaSuppression3x3Kernel</a>
</li>
<li>NENormalizationLayer()
: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer.xhtml#a37c02a72e62b5add96e4f99e81b0ecc3">NENormalizationLayer</a>
</li>
<li>NENormalizationLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#ab3498b8beb89599cee12a9e2ac083d88">NENormalizationLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a682ef2213a5c1fd804505e572ea45700">NENormalizationLayerKernel</a>
</li>
<li>NEOpticalFlow()
: <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#ad5dfdcf45ad38c48cd725b0fdc675b34">NEOpticalFlow</a>
</li>
<li>NEPixelWiseMultiplicationKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a75e09a8ec40fb21b0f71421960b540a6">NEPixelWiseMultiplicationKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ac23503429643fa0415fd64b1fc17e40c">NEPixelWiseMultiplicationKernel</a>
</li>
<li>NEPoolingLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ab35670d771933fa900a8cccae52cc0dd">NEPoolingLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a580a7925065fd33f5e7e12425769edd1">NEPoolingLayerKernel</a>
</li>
<li>NERemapKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#a02121cbb8760314f74f08d6b36a2cbbc">NERemapKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#aca07bf938309c22c50104ed93b7d3d1e">NERemapKernel</a>
</li>
<li>NEScale()
: <a class="el" href="classarm__compute_1_1_n_e_scale.xhtml#a30a0363a371ac59877079c6ec1962657">NEScale</a>
@@ -430,10 +467,10 @@
: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5.xhtml#acb0aef0b89d0ce59b012542afdc4409d">NESobel5x5</a>
</li>
<li>NESobel5x5HorKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ab3fe9be760d9e2faa8cb36872889fc98">NESobel5x5HorKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a8dea438b6d74a45c8315643c5ffbc54b">NESobel5x5HorKernel</a>
</li>
<li>NESobel5x5VertKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#aefe5ee52a24df017a67c5fe79ac0d19f">NESobel5x5VertKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a2ff0db37338bc4f3cbc18e51ce0317ae">NESobel5x5VertKernel</a>
</li>
<li>NESobel7x7()
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7.xhtml#a2d2ba69a0af073b80380925e3e86237a">NESobel7x7</a>
@@ -448,17 +485,26 @@
: <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#ab6c76795d4cd1b6ab83154a10576b2b7">NESoftmaxLayer</a>
</li>
<li>NETableLookupKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#aee2586f6c778ffab9ee3adbc2a6790a1">NETableLookupKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#afb1345d81a7ee915ca9b2b4c1e84bb0b">NETableLookupKernel</a>
</li>
<li>NEThresholdKernel()
: <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#a5d0259c161d942ed6ed833206c643e45">NEThresholdKernel</a>
</li>
<li>NETransposeKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#a46381b755f709be78595e61225c71afe">NETransposeKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#ae24f3159088ed25c27231fe58e43c424">NETransposeKernel</a>
+</li>
+<li>NEWeightsReshapeKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a4d7fc5f87332371306c0b2bf907c7603">NEWeightsReshapeKernel</a>
</li>
<li>norm_size()
: <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a0549be3702c05e6ec1ada69a6d08e349">NormalizationLayerInfo</a>
</li>
+<li>normalization_layer()
+: <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a7552cc54ae47676e4ea4842233d79587">ReferenceCPP</a>
+</li>
+<li>normalization_layer_visitor()
+: <a class="el" href="structarm__compute_1_1test_1_1validation_1_1tensor__visitors_1_1normalization__layer__visitor.xhtml#a5ee0219b7e3def0b11c63be55752f0ff">normalization_layer_visitor</a>
+</li>
<li>normalization_type()
: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#aed90de2ef57929727bb2159b66d04487">HOGInfo</a>
</li>
@@ -485,17 +531,30 @@
: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#adb20b5249eedf180a461ea097622fe7f">HOGInfo</a>
</li>
<li>num_channels()
-: <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a330472af42b92ad18b93c06d5b510faa">TensorInfo</a>
+: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">ITensorInfo</a>
+, <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">SubTensorInfo</a>
+, <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">TensorInfo</a>
+, <a class="el" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">CLAccessor</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">IAccessor</a>
+, <a class="el" href="classarm__compute_1_1test_1_1neon_1_1_n_e_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">NEAccessor</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#abd107d6e8ccfc38f781be8683d8141c2">RawTensor</a>
</li>
<li>num_dimensions()
: <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">Dimensions< T ></a>
-, <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a38382dc1f04d28cab04d921b8324dc07">TensorInfo</a>
+, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">ITensorInfo</a>
+, <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">SubTensorInfo</a>
+, <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">TensorInfo</a>
</li>
<li>num_elements()
: <a class="el" href="classarm__compute_1_1_c_l_lut.xhtml#a6dac829b4ddf4a5729ac090e73696958">CLLut</a>
, <a class="el" href="classarm__compute_1_1_i_lut.xhtml#a7a826fbb4f639c556352d1ede69187d7">ILut</a>
, <a class="el" href="classarm__compute_1_1_i_lut_allocator.xhtml#a3f7ed6a14a98f283aa700342b9cc2a01">ILutAllocator</a>
, <a class="el" href="classarm__compute_1_1_lut.xhtml#a6dac829b4ddf4a5729ac090e73696958">Lut</a>
+, <a class="el" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">CLAccessor</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">IAccessor</a>
+, <a class="el" href="classarm__compute_1_1test_1_1neon_1_1_n_e_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">NEAccessor</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ab5fe769d05a0f7dfee63972bdbd54261">RawTensor</a>
+, <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_tensor.xhtml#ab5fe769d05a0f7dfee63972bdbd54261">Tensor< T ></a>
</li>
<li>num_iterations()
: <a class="el" href="classarm__compute_1_1_window.xhtml#a7b83048403721ed7e90d402e7cf3999b">Window</a>
@@ -504,11 +563,15 @@
: <a class="el" href="classarm__compute_1_1_pyramid_info.xhtml#a14af062b9f957e61e4efe171fe7065a3">PyramidInfo</a>
</li>
<li>num_models()
-: <a class="el" href="classarm__compute_1_1_i_multi_h_o_g.xhtml#a36ab43f5c3606001dcd2468b955f3e02">IMultiHOG</a>
+: <a class="el" href="classarm__compute_1_1_c_l_multi_h_o_g.xhtml#a63070a779573aae4282278bc08390329">CLMultiHOG</a>
+, <a class="el" href="classarm__compute_1_1_i_multi_h_o_g.xhtml#a36ab43f5c3606001dcd2468b955f3e02">IMultiHOG</a>
, <a class="el" href="classarm__compute_1_1_multi_h_o_g.xhtml#a63070a779573aae4282278bc08390329">MultiHOG</a>
</li>
<li>num_threads()
-: <a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#a62815e4265bc472328e1992a499dca0a">CPPScheduler</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">CPPScheduler</a>
+, <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#ac24584a63e484123e3756d1b2a1c9e2f">IScheduler</a>
+, <a class="el" href="classarm__compute_1_1_o_m_p_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">OMPScheduler</a>
+, <a class="el" href="classarm__compute_1_1_single_thread_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">SingleThreadScheduler</a>
, <a class="el" href="classarm__compute_1_1_window.xhtml#a3189e7be57879a610d060f7f0c9d4d03">Window</a>
</li>
<li>num_values()
@@ -520,7 +583,7 @@
<!-- start footer part -->
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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
<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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