arm_compute v19.02
Change-Id: I853a3ecf38f206da13c1b03640c8adf73c20477c
diff --git a/documentation/functions_func_n.xhtml b/documentation/functions_func_n.xhtml
index c5929a6..701b77e 100644
--- a/documentation/functions_func_n.xhtml
+++ b/documentation/functions_func_n.xhtml
@@ -1,10 +1,11 @@
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+<!-- HTML header for doxygen 1.8.15-->
+<!-- Remember to use version doxygen 1.8.15 +-->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
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<meta http-equiv="X-UA-Compatible" content="IE=9"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
<title>Compute Library: Data Fields - Functions</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
@@ -15,8 +16,9 @@
<script type="text/javascript" src="navtreedata.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
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$(document).ready(initResizable);
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<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/searchdata.js"></script>
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@@ -25,8 +27,9 @@
extensions: ["tex2jax.js"],
jax: ["input/TeX","output/HTML-CSS"],
});
-</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
+</script><script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
+<link href="stylesheet.css" rel="stylesheet" type="text/css"/>
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
@@ -34,9 +37,10 @@
<table cellspacing="0" cellpadding="0">
<tbody>
<tr style="height: 56px;">
+ <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">Compute Library
-  <span id="projectnumber">18.11</span>
+ <div id="projectname">
+  <span id="projectnumber">19.02</span>
</div>
</td>
</tr>
@@ -44,18 +48,21 @@
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-<!-- Generated by Doxygen 1.8.13 -->
+<!-- Generated by Doxygen 1.8.15 -->
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var searchBox = new SearchBox("searchBox", "search",false,'Search');
+/* @license-end */
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@@ -69,7 +76,9 @@
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<div id="doc-content">
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@@ -100,6 +109,7 @@
, <a class="el" href="classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPFlipWeightsKernel</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPPermuteKernel</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPSortEuclideanDistanceKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPTopKVKernel</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPUpsampleKernel</a>
, <a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml#a1d89c28bd42ba9a52da008bb69367171">GCKernel</a>
, <a class="el" href="classarm__compute_1_1_g_c_program.xhtml#a1d89c28bd42ba9a52da008bb69367171">GCProgram</a>
@@ -152,6 +162,8 @@
, <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDirectConvolutionLayerOutputStageKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEEdgeNonMaxSuppressionKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEEdgeTraceKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEElementwiseOperationKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEElementwiseUnaryKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_erode_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEErodeKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFastCornersKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_fill_array_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFillArrayKernel</a>
@@ -159,6 +171,8 @@
, <a class="el" href="classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFillInnerBorderKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFlattenLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_floor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFloorKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFuseBatchNormalizationKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_gather_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGatherKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGaussian3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGaussian5x5HorKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGaussian5x5VertKernel</a>
@@ -193,6 +207,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMagnitudePhaseKernel< mag_type, phase_type ></a>
, <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMeanStdDevKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_median3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMedian3x3Kernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_memset_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMemsetKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMinMaxKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMinMaxLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMinMaxLocationKernel</a>
@@ -204,13 +219,16 @@
, <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEPoolingLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEPriorBoxLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEQuantizationLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_range_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NERangeKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEReductionOperationKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NERemapKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEReorgLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEReshapeLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_reverse_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEReverseKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEROIPoolingLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEScaleKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEScharr3x3Kernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_select_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESelectKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESeparableConvolutionHorKernel< matrix_size ></a>
, <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESeparableConvolutionVertKernel< matrix_size ></a>
, <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel3x3Kernel</a>
@@ -218,8 +236,11 @@
, <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel5x5VertKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel7x7HorKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel7x7VertKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEStackLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEStridedSliceKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NETableLookupKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEThresholdKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_tile_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NETileKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NETransposeKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEUpsampleLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWeightsReshapeKernel</a>
@@ -238,6 +259,7 @@
</li>
<li>NDRange()
: <a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml#a78d11be062c5b55a7b35c3a74f7b2d9b">NDRange</a>
+, <a class="el" href="classarm__gemm_1_1_n_d_range.xhtml#a42cd82b60b0abbfb79a26327b493e888">NDRange< D ></a>
</li>
<li>NEAbsoluteDifferenceKernel()
: <a class="el" href="classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a813ee60454b4ddd26de77815a4f8fffb">NEAbsoluteDifferenceKernel</a>
@@ -251,9 +273,15 @@
<li>NEActivationLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#af5c940969e40e1ae12411bb025a117f2">NEActivationLayerKernel</a>
</li>
+<li>NEArgMinMaxLayer()
+: <a class="el" href="classarm__compute_1_1_n_e_arg_min_max_layer.xhtml#a37cb3f505590afeefa744e4dded53580">NEArgMinMaxLayer</a>
+</li>
<li>NEArithmeticAdditionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ad336181c06f2c2983212849bd9ebcd35">NEArithmeticAdditionKernel</a>
</li>
+<li>NEArithmeticOperationKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#a2f102d09a50ed7a0f75e242f7ca53b68">NEArithmeticOperationKernel</a>
+</li>
<li>NEArithmeticSubtractionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a5f1869dd5ea404e5f6b110ec5e356320">NEArithmeticSubtractionKernel</a>
</li>
@@ -293,6 +321,9 @@
<li>NEColorConvertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a9b2bcb8adfe5bd1ab71a73daf10dca6d">NEColorConvertKernel</a>
</li>
+<li>NEComparisonOperationKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#ade3c44c85aeecbf179e0327c9856c39e">NEComparisonOperationKernel</a>
+</li>
<li>NEConcatenateLayer()
: <a class="el" href="classarm__compute_1_1_n_e_concatenate_layer.xhtml#a323553c0bffc8dda63242a297512d151">NEConcatenateLayer</a>
</li>
@@ -383,8 +414,11 @@
<li>NEDirectConvolutionLayerOutputStageKernel()
: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a30c40481bcf8b7a26d1354b33b1dccdb">NEDirectConvolutionLayerOutputStageKernel</a>
</li>
+<li>NEDivisionOperationKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_division_operation_kernel.xhtml#afc96fa047235667233e73836c97aa774">NEDivisionOperationKernel</a>
+</li>
<li>NEEdgeNonMaxSuppressionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#ad35f9c2b611ce360fa9811a2e1fa6d97">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>
@@ -392,6 +426,12 @@
<li>needs_shifting()
: <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml#a95acb432c46c1f3a6b77eb88944e6c02">IGCTensor</a>
</li>
+<li>NEElementwiseOperationKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#accf25709b8d911f24214eaf7eecf30ae">NEElementwiseOperationKernel</a>
+</li>
+<li>NEElementwiseUnaryKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a82bf6be583089b901440771c16801387">NEElementwiseUnaryKernel</a>
+</li>
<li>NEEqualizeHistogram()
: <a class="el" href="classarm__compute_1_1_n_e_equalize_histogram.xhtml#ae45d670bd9b55e0c7837094d5f20449e">NEEqualizeHistogram</a>
</li>
@@ -416,6 +456,15 @@
<li>NEFullyConnectedLayer()
: <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a7998301359e064aa20ce967b45301d3b">NEFullyConnectedLayer</a>
</li>
+<li>NEFuseBatchNormalization()
+: <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a8c9f3b1b8b437c75f10a29c6464c7f57">NEFuseBatchNormalization</a>
+</li>
+<li>NEFuseBatchNormalizationKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#ac254b18a929efcdd8742b3467ca5c8ff">NEFuseBatchNormalizationKernel</a>
+</li>
+<li>NEGatherKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_gather_kernel.xhtml#a48dd056d3f0caf6e38a4c6b6feb66429">NEGatherKernel</a>
+</li>
<li>NEGaussian5x5()
: <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5.xhtml#a0f4449cdff5c9f8dfc0ff8ad81675abe">NEGaussian5x5</a>
</li>
@@ -501,13 +550,13 @@
: <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#a13563fca453f4925820f84d182294b9d">NEHistogramKernel</a>
</li>
<li>NEHOGBlockNormalizationKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ae88dacb24506d235031138db045b8413">NEHOGBlockNormalizationKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a3f9eda786b67908885c93faf5eb55594">NEHOGBlockNormalizationKernel</a>
</li>
<li>NEHOGDescriptor()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#acd99c8cb08517ab807be56293aac5bec">NEHOGDescriptor</a>
</li>
<li>NEHOGDetectorKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a371a0938f66a7f0bf66221247b27d3b3">NEHOGDetectorKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a2c0f4bf7e37cb04bf2384f4bc71b84d5">NEHOGDetectorKernel</a>
</li>
<li>NEHOGGradient()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ae5b673d17e79264048516b6e19e4f59e">NEHOGGradient</a>
@@ -516,19 +565,19 @@
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#ab89e2f74cd1d706e49bfe182c2923789">NEHOGMultiDetection</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>NEIm2Col()
: <a class="el" href="classarm__compute_1_1_n_e_im2_col.xhtml#a6f08d8bba859372d8979b0e4b09ddb56">NEIm2Col</a>
</li>
<li>NEIm2ColKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#aec5fb874227c941e8ac14de3d29e543b">NEIm2ColKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a82f0a27f278d1bb7d1457c24941289e4">NEIm2ColKernel</a>
</li>
<li>NEL2NormalizeLayer()
: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad15dc31c9ce02a1afd5762b64a11c1c4">NEL2NormalizeLayer</a>
</li>
<li>NEL2NormalizeLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a074123c53d349a9f418a7a269e331230">NEL2NormalizeLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a52cd2d465ac76389e383fda9997be37b">NEL2NormalizeLayerKernel</a>
</li>
<li>NELaplacianPyramid()
: <a class="el" href="classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#a4b03c61f02f3e0119fa71877abb9b4b8">NELaplacianPyramid</a>
@@ -540,7 +589,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a10e6214af1515f5916f93dddd1bb3124">NELKTrackerKernel</a>
</li>
<li>NELocallyConnectedLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a0115186dd4cd64fcca9f32216f5d6639">NELocallyConnectedLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a477dfb4eac212309023a3a1ca6284d9c">NELocallyConnectedLayer</a>
</li>
<li>NELocallyConnectedMatrixMultiplyKernel()
: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a3acd16d134e4f9fcca7a2929375194dd">NELocallyConnectedMatrixMultiplyKernel</a>
@@ -563,8 +612,11 @@
<li>NEMeanStdDevKernel()
: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a6a85f552b312ad2560ae02676db95f9e">NEMeanStdDevKernel</a>
</li>
+<li>NEMemsetKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_memset_kernel.xhtml#abb0abf7cae549eaef4a4f2e9ed1ad57a">NEMemsetKernel</a>
+</li>
<li>NEMinMaxKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a6838da666c340e4d73e8779d710a2dfd">NEMinMaxKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a14c484d0c1759b7163e3691ea1bb8bb5">NEMinMaxKernel</a>
</li>
<li>NEMinMaxLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a7595e6658a34d7fea57ae6b7e9df9753">NEMinMaxLayerKernel</a>
@@ -576,31 +628,34 @@
: <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#aa8b392e0f9752f58bad0899fbf05062d">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#ab9fb64464b613c8dfb660ce8adda169e">NENormalizationLayer</a>
</li>
<li>NENormalizationLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a0a9583248b18a4ac65987cd5adebc6ed">NENormalizationLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#ab3498b8beb89599cee12a9e2ac083d88">NENormalizationLayerKernel</a>
</li>
<li>NEOpticalFlow()
: <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#ad5dfdcf45ad38c48cd725b0fdc675b34">NEOpticalFlow</a>
</li>
+<li>NEPadLayer()
+: <a class="el" href="classarm__compute_1_1_n_e_pad_layer.xhtml#a79ddca98792472ac497d7acc81933398">NEPadLayer</a>
+</li>
<li>NEPermuteKernel()
: <a class="el" href="classarm__compute_1_1_n_e_permute_kernel.xhtml#a53592f2e423ddbeffcc472cf7cbfb88c">NEPermuteKernel</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#a032fb6504d12ca1244b2d7d82609f062">NEPixelWiseMultiplicationKernel</a>
</li>
<li>NEPoolingLayer()
: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer.xhtml#adfb415099e7d78f4444e0fb45e405091">NEPoolingLayer</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>NEPriorBoxLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a624fa89170ccad67d61dc520cc2992bc">NEPriorBoxLayerKernel</a>
@@ -611,6 +666,12 @@
<li>NEQuantizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#ad62e17aadd5912b41857bdbc15730268">NEQuantizationLayerKernel</a>
</li>
+<li>NERange()
+: <a class="el" href="classarm__compute_1_1_n_e_range.xhtml#a1676ab701fe81cd955c7430a235e6f98">NERange</a>
+</li>
+<li>NERangeKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_range_kernel.xhtml#a11373aa68209de39e80ac85218675719">NERangeKernel</a>
+</li>
<li>NEReduceMean()
: <a class="el" href="classarm__compute_1_1_n_e_reduce_mean.xhtml#a1f208adec0739b6ce732abb5cc8e5a58">NEReduceMean</a>
</li>
@@ -618,7 +679,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_reduction_operation.xhtml#a20574f46cffa32ed112fcffa4e3af223">NEReductionOperation</a>
</li>
<li>NEReductionOperationKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a46d13eb25cd34c7ebdeb7857b99911ac">NEReductionOperationKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a2a7bcbc502be4512dfb95500af4bd5e1">NEReductionOperationKernel</a>
</li>
<li>NERemapKernel()
: <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#af892b3094dc3ab5b8eea6f0d9ab4b47d">NERemapKernel</a>
@@ -626,23 +687,29 @@
<li>NEReorgLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a77b0dbdf83cf802b83e46f98358c7b60">NEReorgLayerKernel</a>
</li>
+<li>NEReverseKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_reverse_kernel.xhtml#ab6e36387ad2fb4314db95c574f7ce598">NEReverseKernel</a>
+</li>
<li>NERNNLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a22580824d9d7f1d67c3db8ac601113b3">NERNNLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ab6231543c4071f67f7acd1b868017185">NERNNLayer</a>
</li>
<li>NEROIPoolingLayer()
: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#a25e24d127134f9fd599195250c19444b">NEROIPoolingLayer</a>
</li>
<li>NEROIPoolingLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a6c1533ba7e860b0bf061dd02f552f427">NEROIPoolingLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#af874f9c0aae8f8ba2bceb87abfb5e6ce">NEROIPoolingLayerKernel</a>
</li>
<li>NEScale()
: <a class="el" href="classarm__compute_1_1_n_e_scale.xhtml#a30a0363a371ac59877079c6ec1962657">NEScale</a>
</li>
<li>NEScaleKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#ae1d7843aaf1b5e13bf8403e44249b97a">NEScaleKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#afaad06478be3721ab81bb31303e3036d">NEScaleKernel</a>
</li>
<li>NEScharr3x3Kernel()
-: <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#aafe178454cd5eadaf3e80e39e46b3b45">NEScharr3x3Kernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a625e12a0c7ab061154b39f47a4a11309">NEScharr3x3Kernel</a>
+</li>
+<li>NESelectKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_select_kernel.xhtml#a28e79640a392e4574acaca0481d4a45f">NESelectKernel</a>
</li>
<li>NESeparableConvolutionHorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a965a154580e00968b45aa6268986cd51">NESeparableConvolutionHorKernel< matrix_size ></a>
@@ -669,19 +736,31 @@
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7.xhtml#a999f68b754259bb7c0a1003e51a31c99">NESobel7x7</a>
</li>
<li>NESobel7x7HorKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a1a423c939d91b1097fcd48ead9b5f143">NESobel7x7HorKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ad408b442a132acdbcf1e6c28100d2c2e">NESobel7x7HorKernel</a>
</li>
<li>NESobel7x7VertKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a667242192107c5f9fb8368eaccca2103">NESobel7x7VertKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ac554b9298d627c5cc4468cf77d8d568d">NESobel7x7VertKernel</a>
</li>
<li>NESoftmaxLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#a302bd66eed7126e9c7b0eb6bc3314ac3">NESoftmaxLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#a09c32ef2afaa6952b300d15b48acb03a">NESoftmaxLayer</a>
+</li>
+<li>NESplit()
+: <a class="el" href="classarm__compute_1_1_n_e_split.xhtml#ad89d8795f247b61e5aeba5f12ae1fd15">NESplit</a>
+</li>
+<li>NEStackLayer()
+: <a class="el" href="classarm__compute_1_1_n_e_stack_layer.xhtml#a8ca90468cf9e830f73ba50ed7bbb9d53">NEStackLayer</a>
+</li>
+<li>NEStackLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#aea1faaeb5ab2a24b3ff9d339682db06c">NEStackLayerKernel</a>
+</li>
+<li>NEStridedSliceKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a11dfc78ade713bbd49a799605736425a">NEStridedSliceKernel</a>
</li>
<li>NESubTensorHandle()
-: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#aba3a7c20ba3c19a5f3db801dd49b0c2c">NESubTensorHandle</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a6595e78bf2c01da58c8f3ea4eb90456d">NESubTensorHandle</a>
</li>
<li>NETableLookupKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#afb1345d81a7ee915ca9b2b4c1e84bb0b">NETableLookupKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a74990bcb63bbbc6042000a9fb7207507">NETableLookupKernel</a>
</li>
<li>NETensorHandle()
: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a7589aedeac35ee91015d3dd625a9abcd">NETensorHandle</a>
@@ -689,17 +768,23 @@
<li>NEThresholdKernel()
: <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#aa225b6f88add359d864507bdc2053ac0">NEThresholdKernel</a>
</li>
+<li>NETileKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_tile_kernel.xhtml#a32733ae7a20e85a071a80feee1964952">NETileKernel</a>
+</li>
<li>NETransposeKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#a3a5122ad042e8f04a6cd96980bce3d49">NETransposeKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#a46381b755f709be78595e61225c71afe">NETransposeKernel</a>
+</li>
+<li>NEUnstack()
+: <a class="el" href="classarm__compute_1_1_n_e_unstack.xhtml#a9fe1c034f87de9f4f8f123df10aa624b">NEUnstack</a>
</li>
<li>NEUpsampleLayer()
: <a class="el" href="classarm__compute_1_1_n_e_upsample_layer.xhtml#a0e6dc893a9d100e940ef58f6df26c31a">NEUpsampleLayer</a>
</li>
<li>NEUpsampleLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a9f5431235d9fecd59a74cec4f370fef1">NEUpsampleLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a26b1f06d595afa9c4bef0980327305f8">NEUpsampleLayerKernel</a>
</li>
<li>NEWeightsReshapeKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a81a65e6e29f1484740df2b1e60e82a6d">NEWeightsReshapeKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a4d7fc5f87332371306c0b2bf907c7603">NEWeightsReshapeKernel</a>
</li>
<li>NEWidthConcatenateLayer()
: <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#abb894ee6ec4336cf067d2273eea64ad8">NEWidthConcatenateLayer</a>
@@ -708,19 +793,19 @@
: <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#ac2eb49b445e8e3cc413572adebb1719e">NEWidthConcatenateLayerKernel</a>
</li>
<li>NEWinogradConvolutionLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a5adf00d4ee113decca5848feb9684e08">NEWinogradConvolutionLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#ab363cda8398693d470a3e76b538b7615">NEWinogradConvolutionLayer</a>
</li>
<li>NEWinogradLayerTransformInputKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a41eee525702c5f60376edfddce144731">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a975ca7003dae590387fdf8546e1b08fd">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
<li>NEWinogradLayerTransformOutputKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a40aff3f958efb262a020826b1d1026bd">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a938350d536f0350fd2fd9eacf5d5f243">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
<li>NEWinogradLayerTransformWeightsKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ad25daf413f7dd45f084ae22a25b8bbe5">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a632c7994a369ebfdaf27eb25e84405c8">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
<li>NEYOLOLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#acd649bd63405fe6c83f5b2b491cfd177">NEYOLOLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ad256323e144f8ca87d59877b58a8aa6b">NEYOLOLayerKernel</a>
</li>
<li>nms()
: <a class="el" href="classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a90dc98d4ae6b7ab06d5e089378817672">BoxNMSLimitInfo</a>
@@ -728,11 +813,14 @@
<li>nms_thres()
: <a class="el" href="classarm__compute_1_1_generate_proposals_info.xhtml#aff8f31ab7ca98957eb196d34a3da3d68">GenerateProposalsInfo</a>
</li>
+<li>nms_threshold()
+: <a class="el" href="classarm__compute_1_1_detection_output_layer_info.xhtml#af14fc4cf24dfb69a0f225a582ef01d54">DetectionOutputLayerInfo</a>
+</li>
<li>node()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#af03a199882fdad91c9d20fc3e6ee2a57">Graph</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">Graph</a>
</li>
<li>nodes()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#ade14fa2a9cfc10e208ef2ebfeb0f8ba1">Graph</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a8a979250f01a5edba059a02748b10ea3">Graph</a>
</li>
<li>norm_size()
: <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a7c3edc4b354dda6c7285541f4f0e5c43">NormalizationLayerInfo</a>
@@ -786,6 +874,9 @@
<li>num_block_positions_per_image()
: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a576ef6e002aae702e9c619a1afd31ddb">HOGInfo</a>
</li>
+<li>num_buffers()
+: <a class="el" href="classarm__compute_1_1_i_buffer_manager.xhtml#ad4bcb73f9fec73d00bccf07845c5a16f">IBufferManager</a>
+</li>
<li>num_cells_per_block()
: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a79b522bd4aa0d5533649e60ef7f5f42f">HOGInfo</a>
</li>
@@ -803,7 +894,8 @@
, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">SimpleTensor< T ></a>
</li>
<li>num_classes()
-: <a class="el" href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb962dd0e5ae700a7ab8b64a437aea2a">YOLOLayerNode</a>
+: <a class="el" href="classarm__compute_1_1_detection_output_layer_info.xhtml#a2411dd5edb9ccb581d303f3396e9c14c">DetectionOutputLayerInfo</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb962dd0e5ae700a7ab8b64a437aea2a">YOLOLayerNode</a>
</li>
<li>num_dimensions()
: <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">Dimensions< T ></a>
@@ -846,6 +938,9 @@
<li>num_levels()
: <a class="el" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">PyramidInfo</a>
</li>
+<li>num_loc_classes()
+: <a class="el" href="classarm__compute_1_1_detection_output_layer_info.xhtml#ae82a2ccc5739cb255a9a7679d6161399">DetectionOutputLayerInfo</a>
+</li>
<li>num_models()
: <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>
@@ -877,7 +972,7 @@
, <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#a19ecfde9ec6b2dda6d06cc79dd8d956c">IArrayAccessor< T ></a>
</li>
<li>NumPyAccessor()
-: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ac3bd9a902b0bb7e28e1bed21318bc562">NumPyAccessor</a>
+: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#afe75cb833252a242807e17ef560d4fe8">NumPyAccessor</a>
</li>
<li>NumPyBinLoader()
: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#a4f32ab9a631e79fe364fed57a1d0145b">NumPyBinLoader</a>
@@ -888,9 +983,9 @@
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
- <li class="footer">Generated on Thu Nov 22 2018 11:57:52 for Compute Library by
+ <li class="footer">Generated on Thu Feb 28 2019 12:25:08 for Compute Library by
<a href="http://www.doxygen.org/index.html">
- <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.15 </li>
</ul>
</div>
</body>