arm_compute v18.11
diff --git a/documentation/functions_n.xhtml b/documentation/functions_n.xhtml
index 16b2204..c36a659 100644
--- a/documentation/functions_n.xhtml
+++ b/documentation/functions_n.xhtml
@@ -4,7 +4,7 @@
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<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
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+<meta name="generator" content="Doxygen 1.8.13"/>
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<title>Compute Library: Data Fields</title>
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@@ -16,14 +16,10 @@
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@@ -40,7 +36,7 @@
<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
<div id="projectname">Compute Library
-  <span id="projectnumber">18.08</span>
+  <span id="projectnumber">18.11</span>
</div>
</td>
</tr>
@@ -48,85 +44,19 @@
</table>
</div>
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-<!-- Generated by Doxygen 1.8.11 -->
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- <div id="navrow1" class="tabs">
- <ul class="tablist">
- <li><a href="index.xhtml"><span>Main Page</span></a></li>
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- <ul class="tablist">
- <li><a href="annotated.xhtml"><span>Data Structures</span></a></li>
- <li><a href="classes.xhtml"><span>Data Structure Index</span></a></li>
- <li><a href="inherits.xhtml"><span>Class Hierarchy</span></a></li>
- <li class="current"><a href="functions.xhtml"><span>Data Fields</span></a></li>
- </ul>
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- <div id="navrow3" class="tabs2">
- <ul class="tablist">
- <li class="current"><a href="functions.xhtml"><span>All</span></a></li>
- <li><a href="functions_func.xhtml"><span>Functions</span></a></li>
- <li><a href="functions_vars.xhtml"><span>Variables</span></a></li>
- <li><a href="functions_type.xhtml"><span>Typedefs</span></a></li>
- <li><a href="functions_enum.xhtml"><span>Enumerations</span></a></li>
- <li><a href="functions_rela.xhtml"><span>Related Functions</span></a></li>
- </ul>
- </div>
- <div id="navrow4" class="tabs3">
- <ul class="tablist">
- <li><a href="functions.xhtml#index__"><span>_</span></a></li>
- <li><a href="functions_a.xhtml#index_a"><span>a</span></a></li>
- <li><a href="functions_b.xhtml#index_b"><span>b</span></a></li>
- <li><a href="functions_c.xhtml#index_c"><span>c</span></a></li>
- <li><a href="functions_d.xhtml#index_d"><span>d</span></a></li>
- <li><a href="functions_e.xhtml#index_e"><span>e</span></a></li>
- <li><a href="functions_f.xhtml#index_f"><span>f</span></a></li>
- <li><a href="functions_g.xhtml#index_g"><span>g</span></a></li>
- <li><a href="functions_h.xhtml#index_h"><span>h</span></a></li>
- <li><a href="functions_i.xhtml#index_i"><span>i</span></a></li>
- <li><a href="functions_j.xhtml#index_j"><span>j</span></a></li>
- <li><a href="functions_k.xhtml#index_k"><span>k</span></a></li>
- <li><a href="functions_l.xhtml#index_l"><span>l</span></a></li>
- <li><a href="functions_m.xhtml#index_m"><span>m</span></a></li>
- <li class="current"><a href="functions_n.xhtml#index_n"><span>n</span></a></li>
- <li><a href="functions_o.xhtml#index_o"><span>o</span></a></li>
- <li><a href="functions_p.xhtml#index_p"><span>p</span></a></li>
- <li><a href="functions_q.xhtml#index_q"><span>q</span></a></li>
- <li><a href="functions_r.xhtml#index_r"><span>r</span></a></li>
- <li><a href="functions_s.xhtml#index_s"><span>s</span></a></li>
- <li><a href="functions_t.xhtml#index_t"><span>t</span></a></li>
- <li><a href="functions_u.xhtml#index_u"><span>u</span></a></li>
- <li><a href="functions_v.xhtml#index_v"><span>v</span></a></li>
- <li><a href="functions_w.xhtml#index_w"><span>w</span></a></li>
- <li><a href="functions_x.xhtml#index_x"><span>x</span></a></li>
- <li><a href="functions_y.xhtml#index_y"><span>y</span></a></li>
- <li><a href="functions_z.xhtml#index_z"><span>z</span></a></li>
- <li><a href="functions_0x7e.xhtml#index_0x7e"><span>~</span></a></li>
- </ul>
- </div>
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@@ -159,33 +89,35 @@
<div class="contents">
<div class="textblock">Here is a list of all struct and union fields with links to the structures/unions they belong to:</div>
-<h3><a class="anchor" id="index_n"></a>- n -</h3><ul>
+<h3><a id="index_n"></a>- n -</h3><ul>
<li>n()
-: <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#a327d17199b3bb3d4ab67b819a5553510">GEMMReshapeInfo</a>
+: <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#a841b7b7f4c7b50931fabb298cfb7bed3">GEMMReshapeInfo</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>
, <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPCornerCandidatesKernel</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPDetectionWindowNonMaximaSuppressionKernel</a>
+, <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_upsample_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPUpsampleKernel</a>
-, <a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">GCKernel</a>
-, <a class="el" href="classarm__compute_1_1_g_c_program.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">GCProgram</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_depth_concat_sub_tensor_mutator.xhtml#a1cd33f9b97e7d892aed89053b0f3fe0d">DepthConcatSubTensorMutator</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#a324e8c54c4c5161913681a1a52fef959">ILayer</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">Graph</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#a1cd33f9b97e7d892aed89053b0f3fe0d">GroupedConvolutionMutator</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>
+, <a class="el" href="classarm__compute_1_1graph_1_1_depth_concat_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">DepthConcatSubTensorMutator</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#ad8227ba86a01f26e4f173cd5e219d5d1">ILayer</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a1d89c28bd42ba9a52da008bb69367171">Graph</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">GroupedConvolutionMutator</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_i_graph_mutator.xhtml#a3690f13206df6f6103bae8ae3ceee528">IGraphMutator</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">INode</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_in_place_operation_mutator.xhtml#a1cd33f9b97e7d892aed89053b0f3fe0d">InPlaceOperationMutator</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_node_execution_method_mutator.xhtml#a1cd33f9b97e7d892aed89053b0f3fe0d">NodeExecutionMethodMutator</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_node_fusion_mutator.xhtml#a1cd33f9b97e7d892aed89053b0f3fe0d">NodeFusionMutator</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">INode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_in_place_operation_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">InPlaceOperationMutator</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_node_execution_method_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">NodeExecutionMethodMutator</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_node_fusion_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">NodeFusionMutator</a>
, <a class="el" href="structarm__compute_1_1graph_1_1_node_params.xhtml#a9b45b3e13bd9167aab02e17e08916231">NodeParams</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#a1cd33f9b97e7d892aed89053b0f3fe0d">SplitLayerSubTensorMutator</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">SplitLayerSubTensorMutator</a>
, <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">ICPPKernel</a>
-, <a class="el" href="classarm__compute_1_1_kernel.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">Kernel</a>
-, <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">Logger</a>
+, <a class="el" href="classarm__compute_1_1_kernel.xhtml#a1d89c28bd42ba9a52da008bb69367171">Kernel</a>
+, <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#a1d89c28bd42ba9a52da008bb69367171">Logger</a>
, <a class="el" href="classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEAbsoluteDifferenceKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_accumulate_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEAccumulateKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEAccumulateSquaredKernel</a>
@@ -201,6 +133,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_box3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBox3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEChannelCombineKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEChannelExtractKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEChannelShuffleLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NECol2ImKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_color_convert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEColorConvertKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEConvertFullyConnectedWeightsKernel</a>
@@ -226,6 +159,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_fill_array_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFillArrayKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFillBorderKernel</a>
, <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_gaussian3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGaussian3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGaussian5x5HorKernel</a>
@@ -270,9 +204,11 @@
, <a class="el" href="classarm__compute_1_1_n_e_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEPermuteKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEPixelWiseMultiplicationKernel</a>
, <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_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_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>
@@ -287,17 +223,19 @@
, <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_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>
, <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWidthConcatenateLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
-, <a class="el" href="classarm__compute_1_1_program.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">Program</a>
-, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">NamedDataset</a>
-, <a class="el" href="structarm__compute_1_1test_1_1framework_1_1_scheduler_timer_1_1kernel__info.xhtml#a9b45b3e13bd9167aab02e17e08916231">SchedulerTimer::kernel_info</a>
-, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">TestCaseFactory</a>
+, <a class="el" href="classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEYOLOLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_program.xhtml#a1d89c28bd42ba9a52da008bb69367171">Program</a>
+, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#a1d89c28bd42ba9a52da008bb69367171">NamedDataset</a>
+, <a class="el" href="structarm__compute_1_1test_1_1framework_1_1_scheduler_clock_1_1kernel__info.xhtml#a9b45b3e13bd9167aab02e17e08916231">SchedulerClock< output_timestamps >::kernel_info</a>
+, <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#a37627d5d5bba7f4a8690c71c2ab3cb07">Option</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_option.xhtml#a1d89c28bd42ba9a52da008bb69367171">Option</a>
</li>
<li>NamedDataset()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#aac7326eefd026a1b948ae98ff7a8acbf">NamedDataset</a>
@@ -350,6 +288,9 @@
<li>NEChannelExtractKernel()
: <a class="el" href="classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a61c8ec45550ad9df947ffb7d6fe81fb9">NEChannelExtractKernel</a>
</li>
+<li>NEChannelShuffleLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#ae901de9c2dc95caa2b6048957db15e1d">NEChannelShuffleLayerKernel</a>
+</li>
<li>NECol2ImKernel()
: <a class="el" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a84d2ca986ac959613f3ed9c44185242c">NECol2ImKernel</a>
</li>
@@ -453,7 +394,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a612c2d90812d66a7ce4c2f588b5845c4">NEEdgeTraceKernel</a>
</li>
<li>needs_shifting()
-: <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml#a61f1b6619df2a9324c6360b077083f39">IGCTensor</a>
+: <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml#a95acb432c46c1f3a6b77eb88944e6c02">IGCTensor</a>
</li>
<li>NEEqualizeHistogram()
: <a class="el" href="classarm__compute_1_1_n_e_equalize_histogram.xhtml#ae45d670bd9b55e0c7837094d5f20449e">NEEqualizeHistogram</a>
@@ -473,6 +414,9 @@
<li>NEFillInnerBorderKernel()
: <a class="el" href="classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#aa95aec621a23e04b38a66bd777125b26">NEFillInnerBorderKernel</a>
</li>
+<li>NEFlattenLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a866e6e56f9c8dd44ad3968ba45989bb7">NEFlattenLayerKernel</a>
+</li>
<li>NEFullyConnectedLayer()
: <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a7998301359e064aa20ce967b45301d3b">NEFullyConnectedLayer</a>
</li>
@@ -507,37 +451,37 @@
: <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#af4d64dcaa798d09b11067f19b3c48ebe">NEGEMMConvolutionLayer</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ad39eb0841612b282e05103589d079055">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#a0d1a7b2eca4504d463fde5bed41c43df">NEGEMMInterleavedWrapper</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#a088148055d3bdf42760f8dddcc7ba662">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#a7d07d7fef064043cb810851831be5868">NEGEMMLowpMatrixMultiplyCore</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a0b1bcf4d061ed4b99b69d6f6fa0b797e">NEGEMMLowpMatrixMultiplyCore</a>
</li>
<li>NEGEMMLowpMatrixMultiplyKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a81181df64bd527630a72dc7ce5109f49">NEGEMMLowpMatrixMultiplyKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a8edbc004da91a133d24f0eb0e9aa8203">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#a300f166c0a6aa15706272cc4464257f2">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#a3d0b72df579c39f4559d541ffce740bd">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#afc1918f33bdecf05928c9a489e390f68">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#aebd10c830cc69f661d0f6a7fdcf5d00c">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
</li>
<li>NEGEMMMatrixAccumulateBiasesKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aa3c78a8fb89c877aae90f2e76d1fe5ec">NEGEMMMatrixAccumulateBiasesKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a3c2045bfcff97e671afa7bfc8e2940b6">NEGEMMMatrixAccumulateBiasesKernel</a>
</li>
<li>NEGEMMMatrixAdditionKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ab2165f92396a03786cf5e499c4d0e62c">NEGEMMMatrixAdditionKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#aa1e494c2f7b81dfb35b3ec69adffd225">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>
@@ -546,7 +490,7 @@
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a65033b645497768758fcf14d4d25eede">NEGEMMMatrixVectorMultiplyKernel</a>
</li>
<li>NEGradientKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a7da52d0627026b852dc51dbab82a978b">NEGradientKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#ad383dd933d1927d688347f6f412dfc21">NEGradientKernel</a>
</li>
<li>NEHarrisCorners()
: <a class="el" href="classarm__compute_1_1_n_e_harris_corners.xhtml#a2e2017552e622fdfca6e14066fb83806">NEHarrisCorners</a>
@@ -573,16 +517,16 @@
: <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#ab89e2f74cd1d706e49bfe182c2923789">NEHOGMultiDetection</a>
+: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#abb8258d13d0759751d0a95299f091e02">NEHOGMultiDetection</a>
</li>
<li>NEHOGOrientationBinningKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#af2fb5e2868809c6b7e1e472dd34ddbea">NEHOGOrientationBinningKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a5a1b3543ffcd941a0f3b5bc2b058c92e">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#aff36152aec06ab80bbd3aa8d9dc66075">NEIm2ColKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#aec5fb874227c941e8ac14de3d29e543b">NEIm2ColKernel</a>
</li>
<li>NEL2NormalizeLayer()
: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad15dc31c9ce02a1afd5762b64a11c1c4">NEL2NormalizeLayer</a>
@@ -600,7 +544,7 @@
: <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#ad04687d2c3ec4e64e76b4357c25269b4">NELocallyConnectedLayer</a>
+: <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>
@@ -611,6 +555,9 @@
<li>NELogits1DSoftmaxKernel()
: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a83bde72fd3fc3d67311f78315eafd23c">NELogits1DSoftmaxKernel</a>
</li>
+<li>NELSTMLayer()
+: <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>
</li>
@@ -621,10 +568,10 @@
: <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>
+: <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a6838da666c340e4d73e8779d710a2dfd">NEMinMaxKernel</a>
</li>
<li>NEMinMaxLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a2f7050402558e9023ee536f50d725ba3">NEMinMaxLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a7595e6658a34d7fea57ae6b7e9df9753">NEMinMaxLayerKernel</a>
</li>
<li>NEMinMaxLocation()
: <a class="el" href="classarm__compute_1_1_n_e_min_max_location.xhtml#ae1e54926ff0f8534bbd3a97d9c0fdaa2">NEMinMaxLocation</a>
@@ -642,28 +589,34 @@
: <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#a682ef2213a5c1fd804505e572ea45700">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#ab134eb1c572b0dde645c35795c486661">NEOpticalFlow</a>
+: <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#ad5dfdcf45ad38c48cd725b0fdc675b34">NEOpticalFlow</a>
</li>
<li>NEPermuteKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_permute_kernel.xhtml#ac041b093bce44d5969166685832c21d7">NEPermuteKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_permute_kernel.xhtml#acba877f622a9b909a592f5a43ed26863">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#ac23503429643fa0415fd64b1fc17e40c">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#a580a7925065fd33f5e7e12425769edd1">NEPoolingLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ab35670d771933fa900a8cccae52cc0dd">NEPoolingLayerKernel</a>
+</li>
+<li>NEPriorBoxLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a58becea6aa8b26797d861f1ca4c2cab2">NEPriorBoxLayerKernel</a>
</li>
<li>NEQuantizationLayer()
: <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#ad62e17aadd5912b41857bdbc15730268">NEQuantizationLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#afd7a141d3777f3622c3f9fafc0ce4d0f">NEQuantizationLayerKernel</a>
+</li>
+<li>NEReduceMean()
+: <a class="el" href="classarm__compute_1_1_n_e_reduce_mean.xhtml#a1f208adec0739b6ce732abb5cc8e5a58">NEReduceMean</a>
</li>
<li>NEReductionOperation()
: <a class="el" href="classarm__compute_1_1_n_e_reduction_operation.xhtml#a20574f46cffa32ed112fcffa4e3af223">NEReductionOperation</a>
@@ -672,22 +625,25 @@
: <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a46d13eb25cd34c7ebdeb7857b99911ac">NEReductionOperationKernel</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>NEReorgLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#aed444eb1920a454c0f12b13f164d3d41">NEReorgLayerKernel</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#ad71b9e0c36eb029efea21034a525797d">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#ad4e23818db2a0d7323fe8a7947744148">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#a025ceb246f7b80a3cb765d33d6a5cfe4">NEScaleKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#ae1d7843aaf1b5e13bf8403e44249b97a">NEScaleKernel</a>
</li>
<li>NEScharr3x3Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#aa92e67ceef8ce3ddbee234f9f3a28220">NEScharr3x3Kernel</a>
@@ -702,16 +658,16 @@
: <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#afb53206c970a06eec11dc2d7fb30819d">NESobel3x3Kernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a517dc6cf8dd14439b40ba8c06ead5810">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#ab3fe9be760d9e2faa8cb36872889fc98">NESobel5x5HorKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a5f9e4b85f76463d3aab250f0f9a4873e">NESobel5x5HorKernel</a>
</li>
<li>NESobel5x5VertKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#ab46cf54e2df5a20b634660a06e48e9d5">NESobel5x5VertKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#aefe5ee52a24df017a67c5fe79ac0d19f">NESobel5x5VertKernel</a>
</li>
<li>NESobel7x7()
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7.xhtml#a999f68b754259bb7c0a1003e51a31c99">NESobel7x7</a>
@@ -720,40 +676,46 @@
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a1a423c939d91b1097fcd48ead9b5f143">NESobel7x7HorKernel</a>
</li>
<li>NESobel7x7VertKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ac554b9298d627c5cc4468cf77d8d568d">NESobel7x7VertKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a667242192107c5f9fb8368eaccca2103">NESobel7x7VertKernel</a>
</li>
<li>NESoftmaxLayer()
: <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#a302bd66eed7126e9c7b0eb6bc3314ac3">NESoftmaxLayer</a>
</li>
<li>NESubTensorHandle()
-: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a2f55bff8083e46405832ce52c9a92a91">NESubTensorHandle</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#aba3a7c20ba3c19a5f3db801dd49b0c2c">NESubTensorHandle</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#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>
+: <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>
</li>
<li>NETransposeKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#ae24f3159088ed25c27231fe58e43c424">NETransposeKernel</a>
+: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#a46381b755f709be78595e61225c71afe">NETransposeKernel</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>
</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>
</li>
<li>NEWidthConcatenateLayerKernel()
-: <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#ac2eb49b445e8e3cc413572adebb1719e">NEWidthConcatenateLayerKernel</a>
+: <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>
</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#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>
@@ -761,24 +723,38 @@
<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>
</li>
+<li>NEYOLOLayerKernel()
+: <a class="el" href="classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ac70fffb735b977abbd5cbc73b7b57bec">NEYOLOLayerKernel</a>
+</li>
+<li>nms()
+: <a class="el" href="classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a90dc98d4ae6b7ab06d5e089378817672">BoxNMSLimitInfo</a>
+</li>
+<li>nms_thres()
+: <a class="el" href="classarm__compute_1_1_generate_proposals_info.xhtml#aff8f31ab7ca98957eb196d34a3da3d68">GenerateProposalsInfo</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#a62b93384d460474d7e07b8b298f22761">Graph</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#af03a199882fdad91c9d20fc3e6ee2a57">Graph</a>
</li>
<li>node_id
: <a class="el" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">NodeIdxPair</a>
</li>
+<li>node_type
+: <a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">BatchNormalizationLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">ConvolutionLayerNode</a>
+, <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#a224d8c205ef72199abefd671c25f542e">Graph</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a6d22ee22d20bf807639eee8a611229af">Graph</a>
</li>
<li>norm_size()
-: <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a0549be3702c05e6ec1ada69a6d08e349">NormalizationLayerInfo</a>
+: <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a7c3edc4b354dda6c7285541f4f0e5c43">NormalizationLayerInfo</a>
</li>
<li>normalization_info()
-: <a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#aeef3b71fd01564ea246759eeba1f1f99">NormalizationLayerNode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a3bfea94983e45ff8d1a3061206593349">NormalizationLayerNode</a>
</li>
<li>normalization_type()
-: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#aed90de2ef57929727bb2159b66d04487">HOGInfo</a>
+: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a5a4a2ab2f4396cc64b4a5676a90d7f07">HOGInfo</a>
</li>
<li>NormalizationLayer()
: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml#ada275ffd82f624b62bdbc2f01349fe33">NormalizationLayer</a>
@@ -789,6 +765,12 @@
<li>NormalizationLayerNode()
: <a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#abb7d80e613ca846f644767d706116e18">NormalizationLayerNode</a>
</li>
+<li>NormalizePlanarYUVLayer()
+: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_normalize_planar_y_u_v_layer.xhtml#a6c61e8c3eb59a3587817a7250b0bb6ac">NormalizePlanarYUVLayer</a>
+</li>
+<li>NormalizePlanarYUVLayerNode()
+: <a class="el" href="classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#ab8919d6ae4b285ed7321fdf67832c8d1">NormalizePlanarYUVLayerNode</a>
+</li>
<li>NPYLoader()
: <a class="el" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a59ac86360353fd935c6979105da7aefa">NPYLoader</a>
</li>
@@ -797,31 +779,31 @@
</li>
<li>num_arguments_per_1D_tensor()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a43b6c5e4b57069c5f61e96dff24c212d">ICLKernel</a>
-, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a770f45838881fc061294e56d64f34386">IGCKernel</a>
+, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a24938aee389d915b1cc481f11346b2f6">IGCKernel</a>
</li>
<li>num_arguments_per_2D_tensor()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a45601e0d46621a5b6f2e417d60e5c800">ICLKernel</a>
-, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ac734502531e7f95e25b3bf688a304a59">IGCKernel</a>
+, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a1cdff9e90a54e4ea673d10b2dcd7ec9f">IGCKernel</a>
</li>
<li>num_arguments_per_3D_tensor()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c9c1e7a7d96743375ca40847f0f12e2">ICLKernel</a>
-, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a4feaae9c860cddfa843d37c953674a22">IGCKernel</a>
+, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#abb64cdefb07e7d0e4dc5722015cccc35">IGCKernel</a>
</li>
<li>num_arguments_per_4D_tensor()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a184fdf37587a9314cf12623accea6c73">ICLKernel</a>
</li>
<li>num_bins()
-: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#ae3664b841732a09d7749953ca5b81373">HOGInfo</a>
-, <a class="el" href="classarm__compute_1_1_i_distribution1_d.xhtml#ae3664b841732a09d7749953ca5b81373">IDistribution1D</a>
+: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#ad96530ddba514601d376f991b568b346">HOGInfo</a>
+, <a class="el" href="classarm__compute_1_1_i_distribution1_d.xhtml#ad96530ddba514601d376f991b568b346">IDistribution1D</a>
</li>
<li>num_block_positions_per_image()
-: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a52014865347589ff3027a3534181c551">HOGInfo</a>
+: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a576ef6e002aae702e9c619a1afd31ddb">HOGInfo</a>
</li>
<li>num_cells_per_block()
-: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#adb20b5249eedf180a461ea097622fe7f">HOGInfo</a>
+: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a79b522bd4aa0d5533649e60ef7f5f42f">HOGInfo</a>
</li>
<li>num_cells_per_block_stride()
-: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a932db6ec1490ede3ff23e8c0ce80865c">HOGInfo</a>
+: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a3d18e8be8055827aa09839f6972ff271">HOGInfo</a>
</li>
<li>num_channels()
: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">ITensorInfo</a>
@@ -833,11 +815,14 @@
, <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_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>
+</li>
<li>num_cores
: <a class="el" href="structarm__compute_1_1_c_l_device_options.xhtml#a9a872bd67ec83bfb515dba6201dda27a">CLDeviceOptions</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_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">Dimensions< T ></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>
@@ -845,7 +830,7 @@
<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_i_lut_allocator.xhtml#ab13544f21571d4f4dd804cb4b96e2987">ILutAllocator</a>
, <a class="el" href="classarm__compute_1_1_lut.xhtml#a6dac829b4ddf4a5729ac090e73696958">Lut</a>
, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">Accessor</a>
, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">CLAccessor</a>
@@ -858,25 +843,25 @@
, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">SimpleTensor< T ></a>
</li>
<li>num_groups()
-: <a class="el" href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a8dcb6000a40ebf3e3ced2bdb0fc496a8">ChannelShuffleLayerNode</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a8dcb6000a40ebf3e3ced2bdb0fc496a8">ConvolutionLayerNode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a984881c2c9e6de259af8fcd4ecbc4d80">ChannelShuffleLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a984881c2c9e6de259af8fcd4ecbc4d80">ConvolutionLayerNode</a>
</li>
<li>num_inputs()
-: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a7db9a1c221b414ff11bd4a5b7b97ec8d">INode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">INode</a>
</li>
<li>num_iterations
: <a class="el" href="structarm__compute_1_1_optical_flow_parameters.xhtml#a22fec0af810a755e77ecbb7179c193d4">OpticalFlowParameters</a>
-, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a30181518d2f7c76c7692e8ab99ea1808">Framework</a>
-, <a class="el" href="classarm__compute_1_1_window.xhtml#a7b83048403721ed7e90d402e7cf3999b">Window</a>
+, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ab803db44aeb4ad8cd93193be5eaf0fb7">Framework</a>
+, <a class="el" href="classarm__compute_1_1_window.xhtml#a2fb4b3d6b185c9d225073f923f1827c3">Window</a>
</li>
<li>num_iterations_total()
-: <a class="el" href="classarm__compute_1_1_window.xhtml#aaa5e5e1986a457be299e825de2beae48">Window</a>
+: <a class="el" href="classarm__compute_1_1_window.xhtml#a0654fca130488c15b4b66a9b7131c142">Window</a>
</li>
<li>num_kernels()
-: <a class="el" href="classarm__compute_1_1_weights_info.xhtml#ae56950468898173b9466ab93b843c967">WeightsInfo</a>
+: <a class="el" href="classarm__compute_1_1_weights_info.xhtml#ab039f58ba3db07baaba2cbdc65608dbb">WeightsInfo</a>
</li>
<li>num_levels()
-: <a class="el" href="classarm__compute_1_1_pyramid_info.xhtml#a14af062b9f957e61e4efe171fe7065a3">PyramidInfo</a>
+: <a class="el" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">PyramidInfo</a>
</li>
<li>num_max_dimensions
: <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">Dimensions< T ></a>
@@ -887,14 +872,14 @@
, <a class="el" href="classarm__compute_1_1_multi_h_o_g.xhtml#a63070a779573aae4282278bc08390329">MultiHOG</a>
</li>
<li>num_outputs()
-: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a20ee33c4a581d8d3507dbb898d47d733">INode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">INode</a>
</li>
<li>num_pools()
: <a class="el" href="classarm__compute_1_1_i_pool_manager.xhtml#a57e6036b79c8583ca2f23771e4b7052a">IPoolManager</a>
, <a class="el" href="classarm__compute_1_1_pool_manager.xhtml#ae6779aff1846cda85a356089ee5e45f6">PoolManager</a>
</li>
<li>num_splits()
-: <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#ab82d100c42cbc642c33ae7071b7b51b3">SplitLayerNode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#aa5059ce7798ddeeb40b9f6659b851b8b">SplitLayerNode</a>
</li>
<li>num_threads()
: <a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">CPPScheduler</a>
@@ -905,19 +890,19 @@
, <a class="el" href="structarm__compute_1_1_thread_info.xhtml#a08963f7335eef295237ab460863bc3d5">ThreadInfo</a>
</li>
<li>num_threads_hint()
-: <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a6298e3b887acb402fdda318de12428ef">IScheduler</a>
+: <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a6de5358eb9a099cda48662b2fc523ec5">IScheduler</a>
</li>
<li>num_values()
-: <a class="el" href="classarm__compute_1_1_i_array.xhtml#a6dc031c18a14371984493b25a4230f59">IArray< T ></a>
+: <a class="el" href="classarm__compute_1_1_i_array.xhtml#aac8e28a698cd201286d75eb3f5ad3e1c">IArray< T ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#ade9461ca253dd956d2d08f89dd04c6eb">ArrayAccessor< T ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#ade9461ca253dd956d2d08f89dd04c6eb">CLArrayAccessor< T ></a>
, <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#afe75cb833252a242807e17ef560d4fe8">NumPyAccessor</a>
+: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#a8a339f337aa264ea978a648e39df90f2">NumPyAccessor</a>
</li>
<li>NumPyBinLoader()
-: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#a4f32ab9a631e79fe364fed57a1d0145b">NumPyBinLoader</a>
+: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#abf92dad7656a4a25c3aa3d1112ef06e5">NumPyBinLoader</a>
</li>
</ul>
</div><!-- contents -->
@@ -925,9 +910,9 @@
<!-- start footer part -->
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