arm_compute v19.02
Change-Id: I853a3ecf38f206da13c1b03640c8adf73c20477c
diff --git a/documentation/functions_n.xhtml b/documentation/functions_n.xhtml
index c36a659..74d7e98 100644
--- a/documentation/functions_n.xhtml
+++ b/documentation/functions_n.xhtml
@@ -1,10 +1,11 @@
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+<!-- HTML header for doxygen 1.8.15-->
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<!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="Content-Type" content="text/xhtml;charset=UTF-8"/>
<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</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>
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@@ -25,8 +27,9 @@
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});
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+</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"/>
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<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 @@
</table>
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-<!-- Generated by Doxygen 1.8.13 -->
+<!-- Generated by Doxygen 1.8.15 -->
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@@ -69,7 +76,9 @@
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@@ -93,6 +102,9 @@
<li>n()
: <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#a841b7b7f4c7b50931fabb298cfb7bed3">GEMMReshapeInfo</a>
</li>
+<li>n0
+: <a class="el" href="structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml#ac0c87b58d0d04796c81d8138231dccda">GEMMRHSMatrixInfo</a>
+</li>
<li>name
: <a class="el" href="structarm__compute_1_1_c_l_device_options.xhtml#a9b45b3e13bd9167aab02e17e08916231">CLDeviceOptions</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPBoxWithNonMaximaSuppressionLimitKernel</a>
@@ -101,6 +113,7 @@
, <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>
@@ -154,6 +167,8 @@
, <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>
@@ -161,6 +176,8 @@
, <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>
@@ -195,6 +212,7 @@
, <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>
@@ -206,13 +224,16 @@
, <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>
@@ -220,8 +241,11 @@
, <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>
@@ -236,12 +260,14 @@
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a1d89c28bd42ba9a52da008bb69367171">TestCaseFactory</a>
, <a class="el" href="structarm__compute_1_1test_1_1framework_1_1_test_info.xhtml#a9b45b3e13bd9167aab02e17e08916231">TestInfo</a>
, <a class="el" href="classarm__compute_1_1utils_1_1_option.xhtml#a1d89c28bd42ba9a52da008bb69367171">Option</a>
+, <a class="el" href="structarm__gemm_1_1_gemm_implementation.xhtml#a8f8f80d37794cde9472343e4487ba3eb">GemmImplementation< Top, Tret ></a>
</li>
<li>NamedDataset()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#aac7326eefd026a1b948ae98ff7a8acbf">NamedDataset</a>
</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>
@@ -255,9 +281,15 @@
<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>
@@ -297,6 +329,9 @@
<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>
@@ -358,7 +393,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#aafa2f3a8b43b033f84032a4082984d8c">NEDepthwiseSeparableConvolutionLayer</a>
</li>
<li>NEDepthwiseVectorToTensorKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a45211656df43f2757693a69f39c175da">NEDepthwiseVectorToTensorKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#aba1156040d401f8507f64dbfcdf30f00">NEDepthwiseVectorToTensorKernel</a>
</li>
<li>NEDepthwiseWeightsReshapeKernel()
: <a class="el" href="classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#ae357794bb7bc6e3053d54fc62f5c4db0">NEDepthwiseWeightsReshapeKernel</a>
@@ -387,6 +422,9 @@
<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#a7e3beb7abd77b10e6630ae83f33e558b">NEEdgeNonMaxSuppressionKernel</a>
</li>
@@ -396,6 +434,12 @@
<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>
@@ -420,6 +464,15 @@
<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>
@@ -451,46 +504,46 @@
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#a262fe83e2ddb3a88756fce7e5f340461">NEGEMMAssemblyDispatch</a>
</li>
<li>NEGEMMConvolutionLayer()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ad39eb0841612b282e05103589d079055">NEGEMMConvolutionLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#af4d64dcaa798d09b11067f19b3c48ebe">NEGEMMConvolutionLayer</a>
</li>
<li>NEGEMMInterleave4x4Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#ae05d4514f4b8415dbd21e900cffb2fbc">NEGEMMInterleave4x4Kernel</a>
</li>
<li>NEGEMMInterleavedWrapper()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#a088148055d3bdf42760f8dddcc7ba662">NEGEMMInterleavedWrapper</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#a0d1a7b2eca4504d463fde5bed41c43df">NEGEMMInterleavedWrapper</a>
</li>
<li>NEGEMMLowpAssemblyMatrixMultiplyCore()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#af5f476de0574e0225a55db44447c48f4">NEGEMMLowpAssemblyMatrixMultiplyCore</a>
</li>
<li>NEGEMMLowpMatrixMultiplyCore()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a0b1bcf4d061ed4b99b69d6f6fa0b797e">NEGEMMLowpMatrixMultiplyCore</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a7d07d7fef064043cb810851831be5868">NEGEMMLowpMatrixMultiplyCore</a>
</li>
<li>NEGEMMLowpMatrixMultiplyKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a8edbc004da91a133d24f0eb0e9aa8203">NEGEMMLowpMatrixMultiplyKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a81181df64bd527630a72dc7ce5109f49">NEGEMMLowpMatrixMultiplyKernel</a>
</li>
<li>NEGEMMLowpOffsetContributionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a30f6ea6f61be1d7c9c6304daf3543faa">NEGEMMLowpOffsetContributionKernel</a>
</li>
<li>NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a3d0b72df579c39f4559d541ffce740bd">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a300f166c0a6aa15706272cc4464257f2">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>
</li>
<li>NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aebd10c830cc69f661d0f6a7fdcf5d00c">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#afc1918f33bdecf05928c9a489e390f68">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
</li>
<li>NEGEMMMatrixAccumulateBiasesKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a3c2045bfcff97e671afa7bfc8e2940b6">NEGEMMMatrixAccumulateBiasesKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aa3c78a8fb89c877aae90f2e76d1fe5ec">NEGEMMMatrixAccumulateBiasesKernel</a>
</li>
<li>NEGEMMMatrixAdditionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#aa1e494c2f7b81dfb35b3ec69adffd225">NEGEMMMatrixAdditionKernel</a>
+: <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>
</li>
<li>NEGEMMMatrixVectorMultiplyKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a65033b645497768758fcf14d4d25eede">NEGEMMMatrixVectorMultiplyKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#aba228e2c66ccf497325f17d574ee9ec4">NEGEMMMatrixVectorMultiplyKernel</a>
</li>
<li>NEGradientKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#ad383dd933d1927d688347f6f412dfc21">NEGradientKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a7da52d0627026b852dc51dbab82a978b">NEGradientKernel</a>
</li>
<li>NEHarrisCorners()
: <a class="el" href="classarm__compute_1_1_n_e_harris_corners.xhtml#a2e2017552e622fdfca6e14066fb83806">NEHarrisCorners</a>
@@ -502,7 +555,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_histogram.xhtml#a15d0892c4a1aa404f5a6967b8bc49fa8">NEHistogram</a>
</li>
<li>NEHistogramKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#a13563fca453f4925820f84d182294b9d">NEHistogramKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#ad671a80d59ee10144e810003ead8fb57">NEHistogramKernel</a>
</li>
<li>NEHOGBlockNormalizationKernel()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a3f9eda786b67908885c93faf5eb55594">NEHOGBlockNormalizationKernel</a>
@@ -511,13 +564,13 @@
: <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#a2c0f4bf7e37cb04bf2384f4bc71b84d5">NEHOGDetectorKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a9d877f98deeda19e56f5da68fb21a939">NEHOGDetectorKernel</a>
</li>
<li>NEHOGGradient()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ae5b673d17e79264048516b6e19e4f59e">NEHOGGradient</a>
</li>
<li>NEHOGMultiDetection()
-: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#abb8258d13d0759751d0a95299f091e02">NEHOGMultiDetection</a>
+: <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>
@@ -547,7 +600,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a0115186dd4cd64fcca9f32216f5d6639">NELocallyConnectedLayer</a>
</li>
<li>NELocallyConnectedMatrixMultiplyKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a3acd16d134e4f9fcca7a2929375194dd">NELocallyConnectedMatrixMultiplyKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#ad23c1537e7f95401ebb2a7850e6dd25f">NELocallyConnectedMatrixMultiplyKernel</a>
</li>
<li>NELogits1DMaxKernel()
: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a7dcfcda37359d31c2510ad865f4ca051">NELogits1DMaxKernel</a>
@@ -559,7 +612,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#a8d8d5b5c66b732b3fc9494b0e743ed3f">NELSTMLayer</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>
+: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#aebf700d44017c1ff38ad0d3741aaac56">NEMagnitudePhaseKernel< mag_type, phase_type ></a>
</li>
<li>NEMeanStdDev()
: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev.xhtml#a08ebd3b5f0e06c72c512d799cd9fccd2">NEMeanStdDev</a>
@@ -567,8 +620,11 @@
<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#a510e13f4340a3b266c20334084d8acef">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>
@@ -577,7 +633,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_min_max_location.xhtml#ae1e54926ff0f8534bbd3a97d9c0fdaa2">NEMinMaxLocation</a>
</li>
<li>NEMinMaxLocationKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a41c506659961dcf1f935ae6e349f0d54">NEMinMaxLocationKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a4af86554efc6b1306d4342927e90c419">NEMinMaxLocationKernel</a>
</li>
<li>NENonLinearFilterKernel()
: <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#af7d8f3eac26e577c2c1754a7c2dab402">NENonLinearFilterKernel</a>
@@ -592,19 +648,22 @@
: <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>
+: <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#ab134eb1c572b0dde645c35795c486661">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#acba877f622a9b909a592f5a43ed26863">NEPermuteKernel</a>
+: <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#ac23503429643fa0415fd64b1fc17e40c">NEPixelWiseMultiplicationKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a75e09a8ec40fb21b0f71421960b540a6">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#a8002aba3f59c078c9899ad236ba67174">NEPoolingLayerKernel</a>
</li>
<li>NEPriorBoxLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a58becea6aa8b26797d861f1ca4c2cab2">NEPriorBoxLayerKernel</a>
@@ -613,7 +672,13 @@
: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer.xhtml#abbcc94a884fd97848c9958b238c3a3c9">NEQuantizationLayer</a>
</li>
<li>NEQuantizationLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#afd7a141d3777f3622c3f9fafc0ce4d0f">NEQuantizationLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#af016debab1ceae65a136232e68c17617">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#a487a8c396605f8268fe39579da635416">NERangeKernel</a>
</li>
<li>NEReduceMean()
: <a class="el" href="classarm__compute_1_1_n_e_reduce_mean.xhtml#a1f208adec0739b6ce732abb5cc8e5a58">NEReduceMean</a>
@@ -622,31 +687,37 @@
: <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#a2a4e88f09df046635e88b16c8ec387a7">NEReductionOperationKernel</a>
</li>
<li>NERemapKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#aca07bf938309c22c50104ed93b7d3d1e">NERemapKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#af892b3094dc3ab5b8eea6f0d9ab4b47d">NERemapKernel</a>
</li>
<li>NEReorgLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#aed444eb1920a454c0f12b13f164d3d41">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#ad71b9e0c36eb029efea21034a525797d">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#ad4e23818db2a0d7323fe8a7947744148">NEROIPoolingLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a6c1533ba7e860b0bf061dd02f552f427">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#aa92e67ceef8ce3ddbee234f9f3a28220">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>
@@ -658,28 +729,40 @@
: <a class="el" href="classarm__compute_1_1_n_e_simple_assembly_function.xhtml#afb07b1dea50f174ccf0d67a2eb8416a2">NESimpleAssemblyFunction</a>
</li>
<li>NESobel3x3Kernel()
-: <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a517dc6cf8dd14439b40ba8c06ead5810">NESobel3x3Kernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a4bc884b1fc83db1d51ed40243d8c4be8">NESobel3x3Kernel</a>
</li>
<li>NESobel5x5()
: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5.xhtml#a60dc311f2ae26bf9447df0e95ad631de">NESobel5x5</a>
</li>
<li>NESobel5x5HorKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a5f9e4b85f76463d3aab250f0f9a4873e">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#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#ac9d0ac2c616250612ac3835839480cc3">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#a685552a5f91d30d8f5b4ce2003771d18">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#a1b3396255401298dd2a89721a0ea07ad">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>
@@ -691,16 +774,22 @@
: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a63371c7bf5bea4ba7c5822bd5067124d">NETensorHandle</a>
</li>
<li>NEThresholdKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#aa225b6f88add359d864507bdc2053ac0">NEThresholdKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#a5d0259c161d942ed6ed833206c643e45">NEThresholdKernel</a>
+</li>
+<li>NETileKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_tile_kernel.xhtml#a8e999067ec3b8a7f2bbf7f4b88a4fe43">NETileKernel</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#a3a5122ad042e8f04a6cd96980bce3d49">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#a4d7fc5f87332371306c0b2bf907c7603">NEWeightsReshapeKernel</a>
@@ -712,16 +801,16 @@
: <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a080d64d53708f5342742ff62444f4d18">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#ae5af3dca6ce9aa3ab366220034220359">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#ad43288f41b7994926d5a9c8dc97b57cb">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#a632c7994a369ebfdaf27eb25e84405c8">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+: <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ad25daf413f7dd45f084ae22a25b8bbe5">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#ac70fffb735b977abbd5cbc73b7b57bec">NEYOLOLayerKernel</a>
@@ -732,9 +821,12 @@
<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="structarm__compute_1_1graph_1_1_execution_task.xhtml#a320fd40947b71565b239ec2bda243760">ExecutionTask</a>
-, <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>node_id
: <a class="el" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">NodeIdxPair</a>
@@ -745,7 +837,7 @@
, <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">DepthwiseConvolutionLayerNode</a>
</li>
<li>nodes()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a6d22ee22d20bf807639eee8a611229af">Graph</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#ade14fa2a9cfc10e208ef2ebfeb0f8ba1">Graph</a>
</li>
<li>norm_size()
: <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a7c3edc4b354dda6c7285541f4f0e5c43">NormalizationLayerInfo</a>
@@ -799,6 +891,9 @@
<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>
@@ -816,7 +911,8 @@
, <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_cores
: <a class="el" href="structarm__compute_1_1_c_l_device_options.xhtml#a9a872bd67ec83bfb515dba6201dda27a">CLDeviceOptions</a>
@@ -863,6 +959,9 @@
<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_max_dimensions
: <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">Dimensions< T ></a>
</li>
@@ -910,9 +1009,9 @@
<!-- 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 12:25:07 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>
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