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diff --git a/20.02/classarmnn_1_1_i_workload.xhtml b/20.02/classarmnn_1_1_i_workload.xhtml new file mode 100644 index 0000000000..1756d9e092 --- /dev/null +++ b/20.02/classarmnn_1_1_i_workload.xhtml @@ -0,0 +1,355 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<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 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: IWorkload Class Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> 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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: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">20.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div 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+ <div class="headertitle"> +<div class="title">IWorkload Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div> </div> +</div><!--header--> +<div class="contents"> + +<p>Workload interface to enqueue a layer computation. + <a href="classarmnn_1_1_i_workload.xhtml#details">More...</a></p> + +<p><code>#include <<a class="el" href="_i_workload_8hpp_source.xhtml">IWorkload.hpp</a>></code></p> +<div class="dynheader"> +Inheritance diagram for IWorkload:</div> +<div class="dyncontent"> + <div class="center"> + <img src="classarmnn_1_1_i_workload.png" usemap="#IWorkload_map" alt=""/> + <map id="IWorkload_map" name="IWorkload_map"> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< QueueDescriptor >" shape="rect" coords="364,56,718,80"/> +<area href="classarmnn_1_1_null_workload.xhtml" alt="NullWorkload" shape="rect" coords="364,112,718,136"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< AbsQueueDescriptor >" shape="rect" coords="364,168,718,192"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< ActivationQueueDescriptor >" shape="rect" coords="364,224,718,248"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< AdditionQueueDescriptor >" shape="rect" coords="364,280,718,304"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< ArgMinMaxQueueDescriptor >" shape="rect" coords="364,336,718,360"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< armnn::FullyConnectedQueueDescriptor >" shape="rect" coords="364,392,718,416"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< BatchNormalizationQueueDescriptor >" shape="rect" coords="364,448,718,472"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< BatchToSpaceNdQueueDescriptor >" shape="rect" coords="364,504,718,528"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< ComparisonQueueDescriptor >" shape="rect" 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alt="BaseWorkload< PermuteQueueDescriptor >" shape="rect" coords="364,2184,718,2208"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< Pooling2dQueueDescriptor >" shape="rect" coords="364,2240,718,2264"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< PreluQueueDescriptor >" shape="rect" coords="364,2296,718,2320"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< QuantizedLstmQueueDescriptor >" shape="rect" coords="364,2352,718,2376"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< QuantizeQueueDescriptor >" shape="rect" coords="364,2408,718,2432"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< ReshapeQueueDescriptor >" shape="rect" coords="364,2464,718,2488"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< ResizeBilinearQueueDescriptor >" shape="rect" coords="364,2520,718,2544"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< ResizeQueueDescriptor >" shape="rect" coords="364,2576,718,2600"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< RsqrtQueueDescriptor >" shape="rect" coords="364,2632,718,2656"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< SliceQueueDescriptor >" shape="rect" coords="364,2688,718,2712"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< SoftmaxQueueDescriptor >" shape="rect" coords="364,2744,718,2768"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< SpaceToBatchNdQueueDescriptor >" shape="rect" coords="364,2800,718,2824"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< SpaceToDepthQueueDescriptor >" shape="rect" coords="364,2856,718,2880"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< SplitterQueueDescriptor >" shape="rect" coords="364,2912,718,2936"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< StackQueueDescriptor >" shape="rect" coords="364,2968,718,2992"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< StridedSliceQueueDescriptor >" shape="rect" coords="364,3024,718,3048"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< SubtractionQueueDescriptor >" shape="rect" coords="364,3080,718,3104"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< TransposeConvolution2dQueueDescriptor >" shape="rect" coords="364,3136,718,3160"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< TransposeQueueDescriptor >" shape="rect" coords="364,3192,718,3216"/> +</map> + </div></div> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> +Public Member Functions</h2></td></tr> +<tr class="memitem:a69c83c02ae8de866bc7a46c49e69c1ba"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.xhtml#a69c83c02ae8de866bc7a46c49e69c1ba">~IWorkload</a> ()</td></tr> +<tr class="separator:a69c83c02ae8de866bc7a46c49e69c1ba"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab8e9559f02bf8e7cdb73741c9da8d991"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.xhtml#ab8e9559f02bf8e7cdb73741c9da8d991">PostAllocationConfigure</a> ()=0</td></tr> +<tr class="separator:ab8e9559f02bf8e7cdb73741c9da8d991"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a72ae00e6604850c8798c5e0d825ee7e4"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.xhtml#a72ae00e6604850c8798c5e0d825ee7e4">Execute</a> () const =0</td></tr> +<tr class="separator:a72ae00e6604850c8798c5e0d825ee7e4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acb0f384aead510900e20318cabe58a59"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">profiling::ProfilingGuid</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.xhtml#acb0f384aead510900e20318cabe58a59">GetGuid</a> () const =0</td></tr> +<tr class="separator:acb0f384aead510900e20318cabe58a59"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab81312bd5e64cbae2803de9f243bdb32"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.xhtml#ab81312bd5e64cbae2803de9f243bdb32">RegisterDebugCallback</a> (const <a class="el" href="namespacearmnn.xhtml#a15f3ad9b5e4e3d46b0a6dda246a7bc28">DebugCallbackFunction</a> &)</td></tr> +<tr class="separator:ab81312bd5e64cbae2803de9f243bdb32"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> +<div class="textblock"><p>Workload interface to enqueue a layer computation. </p> + +<p class="definition">Definition at line <a class="el" href="_i_workload_8hpp_source.xhtml#l00013">13</a> of file <a class="el" href="_i_workload_8hpp_source.xhtml">IWorkload.hpp</a>.</p> +</div><h2 class="groupheader">Constructor & Destructor Documentation</h2> +<a id="a69c83c02ae8de866bc7a46c49e69c1ba"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a69c83c02ae8de866bc7a46c49e69c1ba">◆ </a></span>~IWorkload()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual ~<a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_i_workload_8hpp_source.xhtml#l00015">15</a> of file <a class="el" href="_i_workload_8hpp_source.xhtml">IWorkload.hpp</a>.</p> + +<p class="reference">References <a class="el" href="classarmnn_1_1_i_workload.xhtml#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload::Execute()</a>, <a class="el" href="classarmnn_1_1_i_workload.xhtml#acb0f384aead510900e20318cabe58a59">IWorkload::GetGuid()</a>, and <a class="el" href="classarmnn_1_1_i_workload.xhtml#ab8e9559f02bf8e7cdb73741c9da8d991">IWorkload::PostAllocationConfigure()</a>.</p> +<div class="fragment"><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {}</div></div><!-- fragment --> +</div> +</div> +<h2 class="groupheader">Member Function Documentation</h2> +<a id="a72ae00e6604850c8798c5e0d825ee7e4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a72ae00e6604850c8798c5e0d825ee7e4">◆ </a></span>Execute()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual void Execute </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implemented in <a class="el" href="classarmnn_1_1_cl_transpose_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClTransposeConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonTransposeConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_permute_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClPermuteWorkload</a>, <a class="el" href="classarmnn_1_1_cl_transpose_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClTransposeWorkload</a>, <a class="el" href="classarmnn_1_1_neon_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_fully_connected_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClFullyConnectedWorkload</a>, <a class="el" href="classarmnn_1_1_neon_minimum_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonMinimumWorkload</a>, <a class="el" href="classarmnn_1_1_neon_permute_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonPermuteWorkload</a>, <a class="el" href="classarmnn_1_1_neon_transpose_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonTransposeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_debug_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefDebugWorkload< DataType ></a>, <a class="el" href="classarmnn_1_1_cl_depthwise_convolution_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClDepthwiseConvolutionWorkload</a>, <a class="el" href="classarmnn_1_1_neon_batch_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonBatchNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_neon_detection_post_process_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonDetectionPostProcessWorkload</a>, <a class="el" href="classarmnn_1_1_neon_fully_connected_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonFullyConnectedWorkload</a>, <a class="el" href="classarmnn_1_1_cl_batch_normalization_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClBatchNormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_depthwise_convolution_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonDepthwiseConvolutionWorkload</a>, <a class="el" href="classarmnn_1_1_ref_elementwise_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefElementwiseWorkload< Functor, ParentDescriptor, DebugString ></a>, <a class="el" href="classarmnn_1_1_ref_pad_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefPadWorkload< DataType ></a>, <a class="el" href="classarmnn_1_1_neon_batch_to_space_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonBatchToSpaceNdWorkload</a>, <a class="el" href="classarmnn_1_1_neon_pooling2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonPooling2dWorkload</a>, <a class="el" href="classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSpaceToBatchNdWorkload</a>, <a class="el" href="classarmnn_1_1_neon_concat_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConcatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_l2_normalization_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonL2NormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_normalization_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonNormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_strided_slice_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonStridedSliceWorkload</a>, <a class="el" href="classarmnn_1_1_cl_pooling2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClPooling2dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_splitter_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSplitterWorkload</a>, <a class="el" href="classarmnn_1_1_neon_greater_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonGreaterWorkload< T ></a>, <a class="el" href="classarmnn_1_1_neon_reshape_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonReshapeWorkload</a>, <a class="el" href="classarmnn_1_1_neon_splitter_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSplitterWorkload</a>, <a class="el" href="classarmnn_1_1_ref_permute_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefPermuteWorkload< DataType ></a>, <a class="el" href="classarmnn_1_1_ref_transpose_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefTransposeWorkload< DataType ></a>, <a class="el" href="classarmnn_1_1_cl_division_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClDivisionFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_quantized_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClQuantizedLstmWorkload</a>, <a class="el" href="classarmnn_1_1_cl_space_to_batch_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSpaceToBatchNdWorkload</a>, <a class="el" href="classarmnn_1_1_cl_strided_slice_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClStridedSliceWorkload</a>, <a class="el" href="classarmnn_1_1_neon_dequantize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonDequantizeWorkload</a>, <a class="el" href="classarmnn_1_1_neon_space_to_depth_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSpaceToDepthWorkload</a>, <a class="el" href="classarmnn_1_1_neon_subtraction_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSubtractionWorkload</a>, <a class="el" href="classarmnn_1_1_ref_fully_connected_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefFullyConnectedWorkload</a>, <a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefTransposeConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_concat_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClConcatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_depth_to_space_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClDepthToSpaceWorkload</a>, <a class="el" href="classarmnn_1_1_cl_multiplication_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClMultiplicationWorkload</a>, <a class="el" href="classarmnn_1_1_neon_depth_to_space_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonDepthToSpaceWorkload</a>, <a class="el" href="classarmnn_1_1_neon_multiplication_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonMultiplicationWorkload</a>, <a class="el" href="classarmnn_1_1_neon_slice_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSliceWorkload</a>, <a class="el" href="classarmnn_1_1_cl_arg_min_max_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClArgMinMaxWorkload</a>, <a class="el" href="classarmnn_1_1_cl_greater_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClGreaterWorkload< T ></a>, <a class="el" href="classarmnn_1_1_cl_l2_normalization_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClL2NormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_mean_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClMeanWorkload</a>, <a class="el" href="classarmnn_1_1_cl_slice_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSliceWorkload</a>, <a class="el" href="classarmnn_1_1_cl_softmax_uint8_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSoftmaxUint8Workload</a>, <a class="el" href="classarmnn_1_1_neon_activation_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonActivationWorkload</a>, <a class="el" href="classarmnn_1_1_neon_addition_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonAdditionWorkload</a>, <a class="el" href="classarmnn_1_1_neon_arg_min_max_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonArgMinMaxWorkload</a>, <a class="el" href="classarmnn_1_1_neon_division_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonDivisionWorkload</a>, <a class="el" href="classarmnn_1_1_neon_instance_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonInstanceNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_neon_maximum_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonMaximumWorkload</a>, <a class="el" href="classarmnn_1_1_neon_mean_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonMeanWorkload</a>, <a class="el" href="classarmnn_1_1_ref_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_batch_to_space_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClBatchToSpaceNdWorkload</a>, <a class="el" href="classarmnn_1_1_cl_floor_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClFloorFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_instance_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClInstanceNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_cl_maximum_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClMaximumWorkload</a>, <a class="el" href="classarmnn_1_1_cl_minimum_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClMinimumWorkload</a>, <a class="el" href="classarmnn_1_1_cl_normalization_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClNormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_reshape_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClReshapeWorkload</a>, <a class="el" href="classarmnn_1_1_cl_resize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClResizeWorkload</a>, <a class="el" href="classarmnn_1_1_cl_softmax_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSoftmaxFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_space_to_depth_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSpaceToDepthWorkload</a>, <a class="el" href="classarmnn_1_1_cl_stack_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClStackWorkload</a>, <a class="el" href="classarmnn_1_1_neon_lstm_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonLstmFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_prelu_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonPreluWorkload</a>, <a class="el" href="classarmnn_1_1_neon_quantized_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonQuantizedLstmWorkload</a>, <a class="el" href="classarmnn_1_1_neon_resize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonResizeWorkload</a>, <a class="el" href="classarmnn_1_1_neon_softmax_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSoftmaxFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_softmax_uint8_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSoftmaxUint8Workload</a>, <a class="el" href="classarmnn_1_1_neon_stack_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonStackWorkload</a>, <a class="el" href="classarmnn_1_1_ref_comparison_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefComparisonWorkload</a>, <a class="el" href="classarmnn_1_1_ref_constant_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefConstantWorkload</a>, <a class="el" href="classarmnn_1_1_ref_elementwise_unary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefElementwiseUnaryWorkload</a>, <a class="el" href="classarmnn_1_1_ref_gather_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefGatherWorkload</a>, <a class="el" href="classarmnn_1_1_cl_abs_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClAbsWorkload</a>, <a class="el" href="classarmnn_1_1_cl_activation_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClActivationWorkload</a>, <a class="el" href="classarmnn_1_1_cl_dequantize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClDequantizeWorkload</a>, <a class="el" href="classarmnn_1_1_cl_lstm_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClLstmFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_prelu_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClPreluWorkload</a>, <a class="el" href="classarmnn_1_1_cl_quantize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClQuantizeWorkload</a>, <a class="el" href="classarmnn_1_1_cl_rsqrt_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClRsqrtWorkload</a>, <a class="el" href="classarmnn_1_1_neon_abs_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonAbsWorkload</a>, <a class="el" href="classarmnn_1_1_neon_floor_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonFloorFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_rsqrt_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonRsqrtWorkload</a>, <a class="el" href="classarmnn_1_1_ref_depthwise_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefDepthwiseConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_copy_mem_generic_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">CopyMemGenericWorkload</a>, <a class="el" href="classarmnn_1_1_import_mem_generic_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ImportMemGenericWorkload</a>, <a class="el" href="classarmnn_1_1_sync_mem_generic_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">SyncMemGenericWorkload</a>, <a class="el" href="classarmnn_1_1_ref_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefLstmWorkload</a>, <a class="el" href="classarmnn_1_1_ref_mean_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefMeanWorkload</a>, <a class="el" href="classarmnn_1_1_ref_pooling2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefPooling2dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_addition_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClAdditionWorkload</a>, <a class="el" href="classarmnn_1_1_cl_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClConvertFp16ToFp32Workload</a>, <a class="el" href="classarmnn_1_1_cl_convert_fp32_to_fp16_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClConvertFp32ToFp16Workload</a>, <a class="el" href="classarmnn_1_1_cl_subtraction_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSubtractionWorkload</a>, <a class="el" href="classarmnn_1_1_neon_pad_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonPadWorkload</a>, <a class="el" href="classarmnn_1_1_neon_quantize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonQuantizeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_l2_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefL2NormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_ref_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_ref_quantize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefQuantizeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_splitter_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefSplitterWorkload</a>, <a class="el" href="classarmnn_1_1_cl_pad_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClPadWorkload</a>, <a class="el" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp16ToFp32Workload</a>, <a class="el" href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp32ToFp16Workload</a>, <a class="el" href="classarmnn_1_1_ref_arg_min_max_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefArgMinMaxWorkload</a>, <a class="el" href="classarmnn_1_1_ref_batch_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefBatchNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_ref_batch_to_space_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefBatchToSpaceNdWorkload</a>, <a class="el" href="classarmnn_1_1_ref_dequantize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefDequantizeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_detection_post_process_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefDetectionPostProcessWorkload</a>, <a class="el" href="classarmnn_1_1_ref_instance_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefInstanceNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_ref_prelu_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefPreluWorkload</a>, <a class="el" href="classarmnn_1_1_ref_slice_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefSliceWorkload</a>, <a class="el" href="classarmnn_1_1_ref_stack_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefStackWorkload</a>, <a class="el" href="classarmnn_1_1_neon_constant_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConstantWorkload</a>, <a class="el" href="classarmnn_1_1_ref_activation_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefActivationWorkload</a>, <a class="el" href="classarmnn_1_1_ref_concat_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefConcatWorkload</a>, <a class="el" href="classarmnn_1_1_ref_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefConvertFp16ToFp32Workload</a>, <a class="el" href="classarmnn_1_1_ref_convert_fp32_to_fp16_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefConvertFp32ToFp16Workload</a>, <a class="el" href="classarmnn_1_1_ref_fake_quantization_float32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefFakeQuantizationFloat32Workload</a>, <a class="el" href="classarmnn_1_1_ref_floor_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefFloorWorkload</a>, <a class="el" href="classarmnn_1_1_ref_log_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefLogSoftmaxWorkload</a>, <a class="el" href="classarmnn_1_1_ref_reshape_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefReshapeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_resize_bilinear_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefResizeBilinearWorkload</a>, <a class="el" href="classarmnn_1_1_ref_resize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefResizeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefSoftmaxWorkload</a>, <a class="el" href="classarmnn_1_1_ref_space_to_batch_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefSpaceToBatchNdWorkload</a>, <a class="el" href="classarmnn_1_1_ref_space_to_depth_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefSpaceToDepthWorkload</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_addition_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">SampleDynamicAdditionWorkload</a>, <a class="el" href="classarmnn_1_1_cl_constant_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClConstantWorkload</a>, <a class="el" href="classarmnn_1_1_ref_depth_to_space_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefDepthToSpaceWorkload</a>, and <a class="el" href="classarmnn_1_1_ref_strided_slice_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefStridedSliceWorkload</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_i_workload_8hpp_source.xhtml#l00015">IWorkload::~IWorkload()</a>.</p> + +</div> +</div> +<a id="acb0f384aead510900e20318cabe58a59"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acb0f384aead510900e20318cabe58a59">◆ </a></span>GetGuid()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual <a class="el" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">profiling::ProfilingGuid</a> GetGuid </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implemented in <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< QueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< InstanceNormalizationQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< MemCopyQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< SpaceToDepthQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< MultiplicationQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< TransposeConvolution2dQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< GreaterQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< ResizeBilinearQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< SubtractionQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< FloorQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< Pooling2dQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< ElementwiseUnaryQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< NormalizationQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< armnn::FullyConnectedQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< ActivationQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< StridedSliceQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< BatchToSpaceNdQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< MemSyncQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< DivisionQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< AdditionQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< SoftmaxQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< FullyConnectedQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< ParentDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< SpaceToBatchNdQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< DepthwiseConvolution2dQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< DequantizeQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< BatchNormalizationQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< ReshapeQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< SliceQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< TransposeQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< QuantizeQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< MeanQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< MaximumQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< DetectionPostProcessQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< ConcatQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< ConstantQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< L2NormalizationQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< MemImportQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< LogSoftmaxQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< StackQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< PadQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< AbsQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< MinimumQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< PermuteQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< LstmQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< QuantizedLstmQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< PreluQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< DebugQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< ArgMinMaxQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< ResizeQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< DepthToSpaceQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< GatherQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< ComparisonQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< SplitterQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< RsqrtQueueDescriptor ></a>, and <a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">BaseWorkload< Convolution2dQueueDescriptor ></a>.</p> + +<p class="reference">Referenced by <a class="el" href="_i_workload_8hpp_source.xhtml#l00015">IWorkload::~IWorkload()</a>.</p> + +</div> +</div> +<a id="ab8e9559f02bf8e7cdb73741c9da8d991"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab8e9559f02bf8e7cdb73741c9da8d991">◆ </a></span>PostAllocationConfigure()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual void PostAllocationConfigure </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implemented in <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< QueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< InstanceNormalizationQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< MemCopyQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< SpaceToDepthQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< MultiplicationQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< TransposeConvolution2dQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< GreaterQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< ResizeBilinearQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< SubtractionQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< FloorQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< Pooling2dQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< ElementwiseUnaryQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< NormalizationQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< armnn::FullyConnectedQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< ActivationQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< StridedSliceQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< BatchToSpaceNdQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< MemSyncQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< DivisionQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< AdditionQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< SoftmaxQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< FullyConnectedQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< ParentDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< SpaceToBatchNdQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< DepthwiseConvolution2dQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< DequantizeQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< BatchNormalizationQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< ReshapeQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< SliceQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< TransposeQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< QuantizeQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< MeanQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< MaximumQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< DetectionPostProcessQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< ConcatQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< ConstantQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< L2NormalizationQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< MemImportQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< LogSoftmaxQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< StackQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< PadQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< AbsQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< MinimumQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< PermuteQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< LstmQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< QuantizedLstmQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< PreluQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< DebugQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< ArgMinMaxQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< ResizeQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< DepthToSpaceQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< GatherQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< ComparisonQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< SplitterQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< RsqrtQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload< Convolution2dQueueDescriptor ></a>, <a class="el" href="classarmnn_1_1_ref_elementwise_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">RefElementwiseWorkload< Functor, ParentDescriptor, DebugString ></a>, <a class="el" href="classarmnn_1_1_ref_fully_connected_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">RefFullyConnectedWorkload</a>, <a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">RefTransposeConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_ref_comparison_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">RefComparisonWorkload</a>, <a class="el" href="classarmnn_1_1_ref_constant_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">RefConstantWorkload</a>, <a class="el" href="classarmnn_1_1_ref_convolution2d_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">RefConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_ref_elementwise_unary_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">RefElementwiseUnaryWorkload</a>, <a class="el" href="classarmnn_1_1_ref_depthwise_convolution2d_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">RefDepthwiseConvolution2dWorkload</a>, and <a class="el" href="classarmnn_1_1_ref_quantize_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">RefQuantizeWorkload</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_i_workload_8hpp_source.xhtml#l00015">IWorkload::~IWorkload()</a>.</p> + +</div> +</div> +<a id="ab81312bd5e64cbae2803de9f243bdb32"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab81312bd5e64cbae2803de9f243bdb32">◆ </a></span>RegisterDebugCallback()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual void RegisterDebugCallback </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a15f3ad9b5e4e3d46b0a6dda246a7bc28">DebugCallbackFunction</a> & </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_debug_workload.xhtml#ab27ebaf88cafddc4a6ee001ec7316e73">RefDebugWorkload< DataType ></a>.</p> + +<p class="definition">Definition at line <a class="el" href="_i_workload_8hpp_source.xhtml#l00023">23</a> of file <a class="el" href="_i_workload_8hpp_source.xhtml">IWorkload.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> {}</div></div><!-- fragment --> +</div> +</div> +<hr/>The documentation for this class was generated from the following file:<ul> +<li>include/armnn/backends/<a class="el" href="_i_workload_8hpp_source.xhtml">IWorkload.hpp</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="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:18 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |