diff options
author | Nikhil Raj <nikhil.raj@arm.com> | 2023-11-22 11:41:15 +0000 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-11-22 11:41:15 +0000 |
commit | 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c (patch) | |
tree | 0c076149c03ac45c2617f5e02a77b79287ff5a0f /23.11/functions_e.html | |
parent | 03c7ff3f6188240baaeaeb405a357a0c58195fec (diff) | |
download | armnn-6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c.tar.gz |
Update Doxygen for 23.11
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I47cd933f5002cb94a73aa97689d7b3d9c93cb849
Diffstat (limited to '23.11/functions_e.html')
-rw-r--r-- | 23.11/functions_e.html | 597 |
1 files changed, 597 insertions, 0 deletions
diff --git a/23.11/functions_e.html b/23.11/functions_e.html new file mode 100644 index 0000000000..74aec6ff07 --- /dev/null +++ b/23.11/functions_e.html @@ -0,0 +1,597 @@ +<!-- HTML header for doxygen 1.8.17--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<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 1.8.17"/> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>Arm NN: Class Members</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</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="customdoxygen.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> + <td id="projectalign" style="padding-left: 0.9em;"> + <div id="projectname"> +  <span id="projectnumber">23.11</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.17 --> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +/* @license-end */</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('functions_e.html',''); initResizable(); }); +/* @license-end */ +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="contents"> +<div class="textblock">Here is a list of all class members with links to the classes they belong to:</div> + +<h3><a id="index_e"></a>- e -</h3><ul> +<li>ElementwiseBaseLayer() +: <a class="el" href="classarmnn_1_1_elementwise_base_layer.html#a6aa67447c0f7d3aa62124c535e5b550b">ElementwiseBaseLayer</a> +</li> +<li>ElementwiseBinaryDescriptor() +: <a class="el" href="structarmnn_1_1_elementwise_binary_descriptor.html#a8a8f2e6761bd818ffba130355d3b14bd">ElementwiseBinaryDescriptor</a> +</li> +<li>ElementwiseBinaryFunction() +: <a class="el" href="structarmnn_1_1_elementwise_binary_function.html#a12cf00d4ad8e7a82d40b10878fd91507">ElementwiseBinaryFunction< Functor ></a> +</li> +<li>ElementwiseBinaryLayer() +: <a class="el" href="classarmnn_1_1_elementwise_binary_layer.html#aa345377aa7ae6160626f84002cef78ff">ElementwiseBinaryLayer</a> +</li> +<li>ElementwiseUnaryDescriptor() +: <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.html#a3f8539a92fa960a194527b03c2183172">ElementwiseUnaryDescriptor</a> +</li> +<li>ElementwiseUnaryFunction() +: <a class="el" href="structarmnn_1_1_elementwise_unary_function.html#a6cada5f35c3f1c582a2c8587ddf2b6c6">ElementwiseUnaryFunction< Functor ></a> +</li> +<li>ElementwiseUnaryLayer() +: <a class="el" href="classarmnn_1_1_elementwise_unary_layer.html#a86e2eb10cb45dbf64a1c962edd411c97">ElementwiseUnaryLayer</a> +</li> +<li>Enable() +: <a class="el" href="classarmnn_1_1_simple_logger.html#a19c7e3a87f2ba3600d28bca9aaeac448">SimpleLogger< Level ></a> +</li> +<li>EnableDetailsOnly() +: <a class="el" href="structarmnn_1_1_json_child_object.html#a40f1e32f39820f375a03b3aff5deede8">JsonChildObject</a> +</li> +<li>EnableNetworkDetailsToStdOut() +: <a class="el" href="classarmnn_1_1_i_profiler.html#a2eb407e04f6462e4fd4ac0fd27dee141">IProfiler</a> +, <a class="el" href="classarmnn_1_1_profiler_impl.html#a2eb407e04f6462e4fd4ac0fd27dee141">ProfilerImpl</a> +</li> +<li>EnableProfiling() +: <a class="el" href="classarmnn_1_1_i_profiler.html#af556ae358458c476f8594b3bbb28d712">IProfiler</a> +, <a class="el" href="classarmnn_1_1_profiler_impl.html#af556ae358458c476f8594b3bbb28d712">ProfilerImpl</a> +</li> +<li>Encoder() +: <a class="el" href="classarmnn_1_1_encoder.html#a4fa6adc41ee005f5915cabd54e9dc0d9">Encoder< IType ></a> +</li> +<li>end() +: <a class="el" href="classarmnn_1_1_graph.html#ab45dae688fc5d8983727abffa4389003">Graph</a> +, <a class="el" href="structarmnn_1_1_graph_1_1_input_layers_accessor.html#a39ebf520b6f30ab8776bdcb99ee38b93">Graph::InputLayersAccessor</a> +, <a class="el" href="structarmnn_1_1_graph_1_1_output_layers_accessor.html#ad2a661f37e89422e29dc70b3e4cc7185">Graph::OutputLayersAccessor</a> +, <a class="el" href="classarmnn_1_1_graph_observable.html#ab45dae688fc5d8983727abffa4389003">GraphObservable< ObservedType ></a> +, <a class="el" href="classarmnn_1_1_permutation_vector.html#a69b6e2a03c835ca5d658a1f16acbaa9c">PermutationVector</a> +, <a class="el" href="classarmnn_1_1_subgraph_view.html#afc40490fb4f488bd2a211e81c06a6971">SubgraphView</a> +</li> +<li>EndEvent() +: <a class="el" href="classarmnn_1_1_profiler_impl.html#a8ed16398e69bb7b0625e3cf4a279b1f3">ProfilerImpl</a> +</li> +<li>EndInputSlots() +: <a class="el" href="classarmnn_1_1_layer.html#a9752e12d6b79e18da1a25f76159d2a72">Layer</a> +</li> +<li>EndOutputSlots() +: <a class="el" href="classarmnn_1_1_layer.html#a55f76d98fcd2f5cdac3e2b14536cb7ab">Layer</a> +</li> +<li>EnqueueWorkload() +: <a class="el" href="classarmnn_1_1_i_runtime.html#aca51209383683ab8dbe801bbfddfe0c0">IRuntime</a> +, <a class="el" href="classarmnn_1_1_loaded_network.html#a87880cba8611688cc57bec8f913958e8">LoadedNetwork</a> +, <a class="el" href="structarmnn_1_1_runtime_impl.html#aca51209383683ab8dbe801bbfddfe0c0">RuntimeImpl</a> +</li> +<li>ErasedLayerNamesObservable() +: <a class="el" href="classarmnn_1_1_erased_layer_names_observable.html#a06539bb23889d36cd821919f27d3d9c5">ErasedLayerNamesObservable</a> +</li> +<li>EraseLayer() +: <a class="el" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">Graph</a> +</li> +<li>ErrorStatus +: <a class="el" href="classarmnn__driver_1_1_converter.html#a1fa5070fa0d079873acaf7581de8a2ad">Converter</a> +</li> +<li>Event() +: <a class="el" href="classarmnn_1_1_event.html#a62ff1ba347b8e391b8cc03e632703df5">Event</a> +</li> +<li>eventClasses +: <a class="el" href="structarmnn_1_1timelinedecoder_1_1_j_s_o_n_timeline_decoder_1_1_model.html#a9313bfbeda7f65af79f742ad794f3bba">JSONTimelineDecoder::Model</a> +</li> +<li>EventPtr +: <a class="el" href="classarmnn_1_1_profiler_impl.html#a28e9d9830b822f64faa17f7ccb55145b">ProfilerImpl</a> +</li> +<li>events +: <a class="el" href="structarmnn_1_1timelinedecoder_1_1_j_s_o_n_timeline_decoder_1_1_model.html#a4fbcc3e4928b03f03f3c2fea42f60620">JSONTimelineDecoder::Model</a> +</li> +<li>Exception() +: <a class="el" href="classarmnn_1_1_exception.html#ad56b7b14f59554e891ad88b26cbf8ac3">Exception</a> +</li> +<li>Execute() +: <a class="el" href="classarmnn_1_1_cl_abs_workload.html#ae071e8822437c78baea75c3aef3a263a">ClAbsWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_activation_workload.html#ae071e8822437c78baea75c3aef3a263a">ClActivationWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_addition_workload.html#ae071e8822437c78baea75c3aef3a263a">ClAdditionWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_arg_min_max_workload.html#ae071e8822437c78baea75c3aef3a263a">ClArgMinMaxWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_batch_mat_mul_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchMatMulWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchNormalizationFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchToSpaceNdWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_cast_workload.html#ae071e8822437c78baea75c3aef3a263a">ClCastWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_channel_shuffle_workload.html#ae071e8822437c78baea75c3aef3a263a">ClChannelShuffleWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_comparison_workload.html#ae071e8822437c78baea75c3aef3a263a">ClComparisonWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConcatWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConstantWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_convert_fp16_to_fp32_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvertFp16ToFp32Workload</a> +, <a class="el" href="classarmnn_1_1_cl_convert_fp32_to_fp16_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvertFp32ToFp16Workload</a> +, <a class="el" href="classarmnn_1_1_cl_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvolution2dWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_convolution3d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvolution3dWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_depth_to_space_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDepthToSpaceWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_depthwise_convolution_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDepthwiseConvolutionWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_dequantize_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDequantizeWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_division_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDivisionWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">ClElementwiseBinaryWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_exp_workload.html#ae071e8822437c78baea75c3aef3a263a">ClExpWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_fill_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFillWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_floor_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFloorFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFullyConnectedWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGatherNdWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_gather_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGatherWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_instance_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">ClInstanceNormalizationWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_l2_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClL2NormalizationFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_logical_and_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogicalAndWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_logical_not_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogicalNotWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_logical_or_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogicalOrWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogSoftmaxWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_log_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLstmFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_maximum_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMaximumWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMeanWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_minimum_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMinimumWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_multiplication_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMultiplicationWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_neg_workload.html#ae071e8822437c78baea75c3aef3a263a">ClNegWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClNormalizationFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_pad_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPadWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_permute_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPermuteWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPooling2dWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_pooling3d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPooling3dWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPreluWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQLstmWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQuantizedLstmWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_quantize_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQuantizeWorkload</a> +, <a class="el" href="structarmnn_1_1_cl_rank_workload.html#a9b5a391ab2d035e1e4f59251cd8e2446">ClRankWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_reduce_workload.html#ae071e8822437c78baea75c3aef3a263a">ClReduceWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_reshape_workload.html#ae071e8822437c78baea75c3aef3a263a">ClReshapeWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">ClResizeWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_reverse_v2_workload.html#ae071e8822437c78baea75c3aef3a263a">ClReverseV2Workload</a> +, <a class="el" href="classarmnn_1_1_cl_rsqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">ClRsqrtWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_sin_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSinWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSliceWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSoftmaxWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSpaceToBatchNdWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_space_to_depth_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSpaceToDepthWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSplitterWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_sqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSqrtWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_stack_workload.html#ae071e8822437c78baea75c3aef3a263a">ClStackWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">ClStridedSliceWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_subtraction_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSubtractionWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_tile_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTileWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTransposeConvolution2dWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_transpose_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTransposeWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_unidirectional_sequence_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClUnidirectionalSequenceLstmFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_copy_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">CopyMemGenericWorkload</a> +, <a class="el" href="classarmnn_1_1_import_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">ImportMemGenericWorkload</a> +, <a class="el" href="classarmnn_1_1_i_runtime.html#a27f91ba619c3c6fd5e640df91b3fd080">IRuntime</a> +, <a class="el" href="classarmnn_1_1_i_workload.html#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a> +, <a class="el" href="classarmnn_1_1_loaded_network.html#a95b1c23f6f296a0c39383bef20fdd46a">LoadedNetwork</a> +, <a class="el" href="classarmnn_1_1_map_workload.html#ae071e8822437c78baea75c3aef3a263a">MapWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_abs_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonAbsWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_activation_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonActivationWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_addition_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonAdditionWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_arg_min_max_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonArgMinMaxWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_batch_mat_mul_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonBatchMatMulWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_batch_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonBatchNormalizationWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonBatchToSpaceNdWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_cast_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonCastWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_channel_shuffle_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonChannelShuffleWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_comparison_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonComparisonWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConcatWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConstantWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp16ToFp32Workload</a> +, <a class="el" href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp32ToFp16Workload</a> +, <a class="el" href="classarmnn_1_1_neon_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvolution2dWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_convolution3d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvolution3dWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_depth_to_space_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDepthToSpaceWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_depthwise_convolution_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDepthwiseConvolutionWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_dequantize_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDequantizeWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_detection_post_process_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDetectionPostProcessWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_division_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDivisionWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonElementwiseBinaryWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_exp_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonExpWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_fill_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFillWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_floor_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFloorFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFullyConnectedWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_fused_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFusedWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonGatherNdWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_gather_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonGatherWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_instance_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonInstanceNormalizationWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_l2_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonL2NormalizationFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_logical_and_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLogicalAndWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_logical_not_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLogicalNotWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_logical_or_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLogicalOrWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLogSoftmaxWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_log_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLogWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLstmFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_maximum_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMaximumWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMeanWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_minimum_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMinimumWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_multiplication_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMultiplicationWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_neg_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonNegWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonNormalizationFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_pad_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPadWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_permute_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPermuteWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPooling2dWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_pooling3d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPooling3dWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPreluWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonQLstmWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonQuantizedLstmWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_quantize_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonQuantizeWorkload</a> +, <a class="el" href="structarmnn_1_1_neon_rank_workload.html#a9b5a391ab2d035e1e4f59251cd8e2446">NeonRankWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_reduce_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonReduceWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_reshape_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonReshapeWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonResizeWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_reverse_v2_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonReverseV2Workload</a> +, <a class="el" href="classarmnn_1_1_neon_rsqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonRsqrtWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_sin_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSinWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSliceWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSoftmaxWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSpaceToBatchNdWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_space_to_depth_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSpaceToDepthWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSplitterWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_sqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSqrtWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_stack_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonStackWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonStridedSliceWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_subtraction_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSubtractionWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_tile_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonTileWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonTransposeConvolution2dWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_transpose_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonTransposeWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonUnidirectionalSequenceLstmFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonUnidirectionalSequenceLstmWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_activation_workload.html#ae071e8822437c78baea75c3aef3a263a">RefActivationWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_arg_min_max_workload.html#ae071e8822437c78baea75c3aef3a263a">RefArgMinMaxWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_batch_mat_mul_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBatchMatMulWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_batch_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBatchNormalizationWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBatchToSpaceNdWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_broadcast_to_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBroadcastToWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_cast_workload.html#ae071e8822437c78baea75c3aef3a263a">RefCastWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_channel_shuffle_workload.html#ae071e8822437c78baea75c3aef3a263a">RefChannelShuffleWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_comparison_workload.html#ae071e8822437c78baea75c3aef3a263a">RefComparisonWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConcatWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConstantWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_convert_fp16_to_fp32_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConvertFp16ToFp32Workload</a> +, <a class="el" href="classarmnn_1_1_ref_convert_fp32_to_fp16_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConvertFp32ToFp16Workload</a> +, <a class="el" href="classarmnn_1_1_ref_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConvolution2dWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_convolution3d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConvolution3dWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_debug_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDebugWorkload< DataType ></a> +, <a class="el" href="classarmnn_1_1_ref_depth_to_space_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDepthToSpaceWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_depthwise_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDepthwiseConvolution2dWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_dequantize_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDequantizeWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_detection_post_process_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDetectionPostProcessWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">RefElementwiseBinaryWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_elementwise_unary_workload.html#ae071e8822437c78baea75c3aef3a263a">RefElementwiseUnaryWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_elementwise_workload.html#ae071e8822437c78baea75c3aef3a263a">RefElementwiseWorkload< Functor, ParentDescriptor, DebugString ></a> +, <a class="el" href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFakeQuantizationFloat32Workload</a> +, <a class="el" href="classarmnn_1_1_ref_fill_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFillWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_floor_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFloorWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFullyConnectedWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">RefGatherNdWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_gather_workload.html#ae071e8822437c78baea75c3aef3a263a">RefGatherWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_instance_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefInstanceNormalizationWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_l2_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefL2NormalizationWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_logical_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLogicalBinaryWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_logical_unary_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLogicalUnaryWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLogSoftmaxWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLstmWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">RefMeanWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefNormalizationWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_pad_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPadWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_permute_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPermuteWorkload< DataType ></a> +, <a class="el" href="classarmnn_1_1_ref_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPooling2dWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_pooling3d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPooling3dWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPreluWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefQLstmWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_quantize_workload.html#ae071e8822437c78baea75c3aef3a263a">RefQuantizeWorkload</a> +, <a class="el" href="structarmnn_1_1_ref_rank_workload.html#a9b5a391ab2d035e1e4f59251cd8e2446">RefRankWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_reduce_workload.html#ae071e8822437c78baea75c3aef3a263a">RefReduceWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_reshape_workload.html#ae071e8822437c78baea75c3aef3a263a">RefReshapeWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">RefResizeWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_reverse_v2_workload.html#ae071e8822437c78baea75c3aef3a263a">RefReverseV2Workload</a> +, <a class="el" href="structarmnn_1_1_ref_shape_workload.html#a9b5a391ab2d035e1e4f59251cd8e2446">RefShapeWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSliceWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSoftmaxWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSpaceToBatchNdWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_space_to_depth_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSpaceToDepthWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSplitterWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_stack_workload.html#ae071e8822437c78baea75c3aef3a263a">RefStackWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">RefStridedSliceWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_tile_workload.html#ae071e8822437c78baea75c3aef3a263a">RefTileWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefTransposeConvolution2dWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_transpose_workload.html#ae071e8822437c78baea75c3aef3a263a">RefTransposeWorkload< DataType ></a> +, <a class="el" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefUnidirectionalSequenceLstmWorkload</a> +, <a class="el" href="structarmnn_1_1_runtime_impl.html#a5637cf5a5ddd5da1058606e26ca06737">RuntimeImpl</a> +, <a class="el" href="classarmnn_1_1_sync_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">SyncMemGenericWorkload</a> +, <a class="el" href="classarmnn_1_1_tosa_ref_pre_compiled_workload.html#ae071e8822437c78baea75c3aef3a263a">TosaRefPreCompiledWorkload</a> +, <a class="el" href="classarmnn_1_1_unmap_workload.html#ae071e8822437c78baea75c3aef3a263a">UnmapWorkload</a> +</li> +<li>execute() +: <a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.html#a67e5c38788f9b0152baee24e8f57bc2b">ArmnnPreparedModel</a> +</li> +<li>Execute() +: <a class="el" href="classsdb_1_1_sample_dynamic_addition_workload.html#ae071e8822437c78baea75c3aef3a263a">SampleDynamicAdditionWorkload</a> +</li> +<li>ExecuteAsync() +: <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload< QueueDescriptor ></a> +, <a class="el" href="classarmnn_1_1_copy_mem_generic_workload.html#ae1c43d025fc90382d7aff7a500937e2c">CopyMemGenericWorkload</a> +, <a class="el" href="classarmnn_1_1_i_workload.html#a9a6e9a0e7eaae5a30b0ea0c9ba7b468b">IWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_activation_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefActivationWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_arg_min_max_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefArgMinMaxWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_batch_mat_mul_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefBatchMatMulWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_batch_normalization_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefBatchNormalizationWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_batch_to_space_nd_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefBatchToSpaceNdWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_broadcast_to_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefBroadcastToWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_cast_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefCastWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_channel_shuffle_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefChannelShuffleWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_comparison_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefComparisonWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_concat_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConcatWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_constant_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConstantWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_convert_fp16_to_fp32_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConvertFp16ToFp32Workload</a> +, <a class="el" href="classarmnn_1_1_ref_convert_fp32_to_fp16_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConvertFp32ToFp16Workload</a> +, <a class="el" href="classarmnn_1_1_ref_convolution2d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConvolution2dWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_convolution3d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConvolution3dWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_debug_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefDebugWorkload< DataType ></a> +, <a class="el" href="classarmnn_1_1_ref_depth_to_space_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefDepthToSpaceWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_depthwise_convolution2d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefDepthwiseConvolution2dWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_dequantize_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefDequantizeWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_detection_post_process_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefDetectionPostProcessWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseBinaryWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_elementwise_unary_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseUnaryWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_elementwise_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseWorkload< Functor, ParentDescriptor, DebugString ></a> +, <a class="el" href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefFakeQuantizationFloat32Workload</a> +, <a class="el" href="classarmnn_1_1_ref_fill_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefFillWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_floor_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefFloorWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_fully_connected_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefFullyConnectedWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_gather_nd_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefGatherNdWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_gather_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefGatherWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_instance_normalization_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefInstanceNormalizationWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_l2_normalization_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefL2NormalizationWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_logical_binary_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefLogicalBinaryWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_logical_unary_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefLogicalUnaryWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_log_softmax_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefLogSoftmaxWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_lstm_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefLstmWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_mean_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefMeanWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_normalization_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefNormalizationWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_pad_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefPadWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_permute_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefPermuteWorkload< DataType ></a> +, <a class="el" href="classarmnn_1_1_ref_pooling2d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefPooling2dWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_pooling3d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefPooling3dWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_prelu_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefPreluWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_q_lstm_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefQLstmWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_quantize_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefQuantizeWorkload</a> +, <a class="el" href="structarmnn_1_1_ref_rank_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefRankWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_reduce_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefReduceWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_reshape_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefReshapeWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_resize_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefResizeWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_reverse_v2_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefReverseV2Workload</a> +, <a class="el" href="structarmnn_1_1_ref_shape_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefShapeWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_slice_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefSliceWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_softmax_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefSoftmaxWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_space_to_batch_nd_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefSpaceToBatchNdWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_space_to_depth_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefSpaceToDepthWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_splitter_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefSplitterWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_stack_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefStackWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_strided_slice_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefStridedSliceWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_tile_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefTileWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefTransposeConvolution2dWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_transpose_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefTransposeWorkload< DataType ></a> +, <a class="el" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefUnidirectionalSequenceLstmWorkload</a> +, <a class="el" href="classarmnn_1_1_sync_mem_generic_workload.html#ae1c43d025fc90382d7aff7a500937e2c">SyncMemGenericWorkload</a> +</li> +<li>executeFenced() +: <a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.html#a8d70cd869c7c1eda1c5891ba7e015661">ArmnnPreparedModel</a> +</li> +<li>ExecuteGraph() +: <a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.html#af62ba010a5b9f3187cfeb50db1dcad0a">ArmnnPreparedModel</a> +</li> +<li>ExecuteStrategy() +: <a class="el" href="classarmnn_1_1_abs_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">AbsLayer</a> +, <a class="el" href="classarmnn_1_1_activation_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ActivationLayer</a> +, <a class="el" href="classarmnn_1_1_addition_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">AdditionLayer</a> +, <a class="el" href="classarmnn_1_1_arg_min_max_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ArgMinMaxLayer</a> +, <a class="el" href="classarmnn_1_1_batch_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BatchNormalizationLayer</a> +, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BatchToSpaceNdLayer</a> +, <a class="el" href="classarmnn_1_1_bindable_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BindableLayer</a> +, <a class="el" href="classarmnn_1_1_broadcast_to_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BroadcastToLayer</a> +, <a class="el" href="classarmnn_1_1_comparison_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ComparisonLayer</a> +, <a class="el" href="classarmnn_1_1_concat_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConcatLayer</a> +, <a class="el" href="classarmnn_1_1_constant_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConstantLayer</a> +, <a class="el" href="classarmnn_1_1_convert_fp16_to_fp32_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConvertFp16ToFp32Layer</a> +, <a class="el" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConvertFp32ToFp16Layer</a> +, <a class="el" href="classarmnn_1_1_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Convolution2dLayer</a> +, <a class="el" href="classarmnn_1_1_convolution3d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Convolution3dLayer</a> +, <a class="el" href="classarmnn_1_1_debug_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DebugLayer</a> +, <a class="el" href="classarmnn_1_1_depth_to_space_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DepthToSpaceLayer</a> +, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DepthwiseConvolution2dLayer</a> +, <a class="el" href="classarmnn_1_1_dequantize_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DequantizeLayer</a> +, <a class="el" href="classarmnn_1_1_detection_post_process_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DetectionPostProcessLayer</a> +, <a class="el" href="classarmnn_1_1_division_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DivisionLayer</a> +, <a class="el" href="classarmnn_1_1_elementwise_base_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ElementwiseBaseLayer</a> +, <a class="el" href="classarmnn_1_1_elementwise_binary_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ElementwiseBinaryLayer</a> +, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ElementwiseUnaryLayer</a> +, <a class="el" href="classarmnn_1_1_fake_quantization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FakeQuantizationLayer</a> +, <a class="el" href="classarmnn_1_1_fill_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FillLayer</a> +, <a class="el" href="classarmnn_1_1_floor_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FloorLayer</a> +, <a class="el" href="classarmnn_1_1_fully_connected_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FullyConnectedLayer</a> +, <a class="el" href="classarmnn_1_1_fused_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FusedLayer</a> +, <a class="el" href="classarmnn_1_1_gather_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">GatherLayer</a> +, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a52799628c0df0037c4708de02bec7185">IConnectableLayer</a> +, <a class="el" href="classarmnn_1_1_i_network.html#a72032c65bf8b8acf09b564b7d80078c5">INetwork</a> +, <a class="el" href="classarmnn_1_1_input_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">InputLayer</a> +, <a class="el" href="classarmnn_1_1_instance_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">InstanceNormalizationLayer</a> +, <a class="el" href="classarmnn_1_1_i_optimized_network.html#a72032c65bf8b8acf09b564b7d80078c5">IOptimizedNetwork</a> +, <a class="el" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">IStrategy</a> +, <a class="el" href="classarmnn_1_1_l2_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">L2NormalizationLayer</a> +, <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a> +, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< Parameters ></a> +, <a class="el" href="classarmnn_1_1_logical_binary_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LogicalBinaryLayer</a> +, <a class="el" href="classarmnn_1_1_log_softmax_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LogSoftmaxLayer</a> +, <a class="el" href="classarmnn_1_1_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LstmLayer</a> +, <a class="el" href="classarmnn_1_1_map_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MapLayer</a> +, <a class="el" href="classarmnn_1_1_maximum_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MaximumLayer</a> +, <a class="el" href="classarmnn_1_1_mean_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MeanLayer</a> +, <a class="el" href="classarmnn_1_1_mem_copy_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MemCopyLayer</a> +, <a class="el" href="classarmnn_1_1_mem_import_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MemImportLayer</a> +, <a class="el" href="classarmnn_1_1_merge_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MergeLayer</a> +, <a class="el" href="classarmnn_1_1_minimum_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MinimumLayer</a> +, <a class="el" href="classarmnn_1_1_multiplication_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MultiplicationLayer</a> +, <a class="el" href="classarmnn_1_1_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">NetworkImpl</a> +, <a class="el" href="classarmnn_1_1_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">NormalizationLayer</a> +, <a class="el" href="classarmnn_1_1_optimized_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">OptimizedNetworkImpl</a> +, <a class="el" href="classarmnn_1_1_output_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">OutputLayer</a> +, <a class="el" href="classarmnn_1_1_pad_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PadLayer</a> +, <a class="el" href="classarmnn_1_1_permute_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PermuteLayer</a> +, <a class="el" href="classarmnn_1_1_pooling2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Pooling2dLayer</a> +, <a class="el" href="classarmnn_1_1_pooling3d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Pooling3dLayer</a> +, <a class="el" href="classarmnn_1_1_pre_compiled_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PreCompiledLayer</a> +, <a class="el" href="classarmnn_1_1_prelu_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PreluLayer</a> +, <a class="el" href="classarmnn_1_1_q_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">QLstmLayer</a> +, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">QuantizedLstmLayer</a> +, <a class="el" href="classarmnn_1_1_quantize_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">QuantizeLayer</a> +, <a class="el" href="classarmnn_1_1_rank_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">RankLayer</a> +, <a class="el" href="classarmnn_1_1_reduce_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ReduceLayer</a> +, <a class="el" href="classarmnn_1_1_reshape_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ReshapeLayer</a> +, <a class="el" href="classarmnn_1_1_resize_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ResizeLayer</a> +, <a class="el" href="classarmnn_1_1_reverse_v2_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ReverseV2Layer</a> +, <a class="el" href="classarmnn_1_1_rsqrt_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">RsqrtLayer</a> +, <a class="el" href="classarmnn_1_1_shape_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ShapeLayer</a> +, <a class="el" href="classarmnn_1_1_slice_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SliceLayer</a> +, <a class="el" href="classarmnn_1_1_softmax_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SoftmaxLayer</a> +, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SpaceToBatchNdLayer</a> +, <a class="el" href="classarmnn_1_1_space_to_depth_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SpaceToDepthLayer</a> +, <a class="el" href="classarmnn_1_1_splitter_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SplitterLayer</a> +, <a class="el" href="classarmnn_1_1_stack_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">StackLayer</a> +, <a class="el" href="classarmnn_1_1_stand_in_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">StandInLayer</a> +, <a class="el" href="classarmnn_1_1_strategy_base.html#a889a82ed924e0a300c4d98a0333b37ff">StrategyBase< DefaultStrategy ></a> +, <a class="el" href="classarmnn_1_1_strided_slice_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">StridedSliceLayer</a> +, <a class="el" href="classarmnn_1_1_subtraction_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SubtractionLayer</a> +, <a class="el" href="classarmnn_1_1_switch_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SwitchLayer</a> +, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">TransposeConvolution2dLayer</a> +, <a class="el" href="classarmnn_1_1_transpose_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">TransposeLayer</a> +, <a class="el" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">UnidirectionalSequenceLstmLayer</a> +, <a class="el" href="classarmnn_1_1_unmap_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">UnmapLayer</a> +, <a class="el" href="classarmnn_serializer_1_1_serializer_strategy.html#aa2061a0934479222cae45c8ee62284d9">SerializerStrategy</a> +</li> +<li>ExecuteWithDummyInputs() +: <a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.html#ad84aace3d1df79ad6fa37dcd952c085f">ArmnnPreparedModel</a> +</li> +<li>ExecuteWorkloads() +: <a class="el" href="classarmnn_1_1_execution_frame.html#a53bc9f544fe292cbbc2d258595bc3af7">ExecutionFrame</a> +, <a class="el" href="classarmnn_1_1_i_execution_frame.html#a62a4e8e95f13a5b8fd62008423160362">IExecutionFrame</a> +</li> +<li>ExecutionFrame() +: <a class="el" href="classarmnn_1_1_execution_frame.html#ad93148c735945f614be3a5e57c3c1dad">ExecutionFrame</a> +</li> +<li>experimental::AsyncNetworkImpl +: <a class="el" href="classarmnn_1_1_i_optimized_network.html#a150601aebab0c979f258bf862b6fd5db">IOptimizedNetwork</a> +</li> +<li>experimental::WorkingMemHandle +: <a class="el" href="classarmnn_1_1_i_optimized_network.html#a21b1820e69a256697d3a5603d656e833">IOptimizedNetwork</a> +</li> +<li>extendedData +: <a class="el" href="structarmnn_1_1timelinedecoder_1_1_j_s_o_n_timeline_decoder_1_1_j_s_o_n_entity.html#a0fa5f0e645f11ca767d73c1d89047a51">JSONTimelineDecoder::JSONEntity</a> +</li> +<li>ExternalProfilingOptions() +: <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options_1_1_external_profiling_options.html#ad290ff73f5e32ea7e4e549d743815ff8">IRuntime::CreationOptions::ExternalProfilingOptions</a> +</li> +</ul> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="footer">Generated on Wed Nov 22 2023 10:57:18 for Arm NN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> + </ul> +</div> +</body> +</html> |