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author | Ryan OShea <Ryan.OShea2@arm.com> | 2020-03-13 16:26:19 +0000 |
---|---|---|
committer | Ryan OShea <Ryan.OShea2@arm.com> | 2020-03-13 16:26:19 +0000 |
commit | de36e4a9c299028e792c3a5bd99ad0816d806077 (patch) | |
tree | 6c71d89db68da1033bb422253cee2970580ed692 /Documentation/functions_func_e.html | |
parent | 78b26f024641e763c7252198339c83bad8c0982f (diff) | |
download | armnn-de36e4a9c299028e792c3a5bd99ad0816d806077.tar.gz |
IVGCVSW-3726 Upload ArmNN Doxygen files
* Upload current ArmNN Doxygen files
Signed-off-by: Ryan OShea <Ryan.OShea2@arm.com>
Change-Id: I8989ed16ee40a99a4495b100bd009cf3e24a7285
Diffstat (limited to 'Documentation/functions_func_e.html')
-rw-r--r-- | Documentation/functions_func_e.html | 315 |
1 files changed, 315 insertions, 0 deletions
diff --git a/Documentation/functions_func_e.html b/Documentation/functions_func_e.html new file mode 100644 index 0000000000..06d3238837 --- /dev/null +++ b/Documentation/functions_func_e.html @@ -0,0 +1,315 @@ +<!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="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: Class Members - Functions</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> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <td id="projectalign" style="padding-left: 0.5em;"> + <div id="projectname">ArmNN +  <span id="projectnumber">NotReleased</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('functions_func_e.html','');}); +</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"> +  + +<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>ElementwiseBinaryFunction() +: <a class="el" href="structarmnn_1_1_elementwise_binary_function.html#a12cf00d4ad8e7a82d40b10878fd91507">ElementwiseBinaryFunction< Functor ></a> +</li> +<li>ElementwiseUnaryDescriptor() +: <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.html#a6b7d869ff464fce01745b97f89cc1a02">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>EnableProfiling() +: <a class="el" href="classarmnn_1_1_i_profiler.html#a769cdf670bd7cda3cda29dd40fbdebf4">IProfiler</a> +, <a class="el" href="classarmnn_1_1_mock_backend_profiling_context.html#adedefb2326efe87593f72e1bddc0ed1b">MockBackendProfilingContext</a> +, <a class="el" href="classarmnn_1_1_profiler.html#a537b76b2a9f7fbcb538eabe994e424e0">Profiler</a> +, <a class="el" href="classarmnn_1_1profiling_1_1_i_backend_profiling_context.html#a5589708f9f5ad739add36e631a3817b5">IBackendProfilingContext</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#aaf68d7cca5c48a7f3d398452a5244667">SubgraphView</a> +, <a class="el" href="classarmnn_quantizer_1_1_quantization_data_set.html#acad38d52497a975bfb6f2f6acd76631f">QuantizationDataSet</a> +</li> +<li>EndEvent() +: <a class="el" href="classarmnn_1_1_profiler.html#a8ed16398e69bb7b0625e3cf4a279b1f3">Profiler</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#aec0dc8016a3b1e444dfc1ffb5f15195c">IRuntime</a> +, <a class="el" href="classarmnn_1_1_loaded_network.html#a878c3febb600fd2ccf3b5cb1f9a61e27">LoadedNetwork</a> +, <a class="el" href="classarmnn_1_1_runtime.html#ad3be3cca4ac08a262383b96868f7123d">Runtime</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>Event() +: <a class="el" href="classarmnn_1_1_event.html#a646c2ba712d97f26eb5b0e77e59d1722">Event</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_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_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_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_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDivisionFloatWorkload</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_greater_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGreaterWorkload< T ></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_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_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_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPreluWorkload</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="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_rsqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">ClRsqrtWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSliceWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_softmax_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSoftmaxFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_cl_softmax_uint8_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSoftmaxUint8Workload</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_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_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTransposeConvolution2dWorkload</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_workload.html#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</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_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_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_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_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_greater_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonGreaterWorkload< T ></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_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_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_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPreluWorkload</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="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_rsqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonRsqrtWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSliceWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_softmax_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSoftmaxFloatWorkload</a> +, <a class="el" href="classarmnn_1_1_neon_softmax_uint8_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSoftmaxUint8Workload</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_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_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonTransposeConvolution2dWorkload</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_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_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_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_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_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_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_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< DataType ></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_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPreluWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_quantize_workload.html#ae071e8822437c78baea75c3aef3a263a">RefQuantizeWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_reshape_workload.html#ae071e8822437c78baea75c3aef3a263a">RefReshapeWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_resize_bilinear_workload.html#ae071e8822437c78baea75c3aef3a263a">RefResizeBilinearWorkload</a> +, <a class="el" href="classarmnn_1_1_ref_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">RefResizeWorkload</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_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefTransposeConvolution2dWorkload</a> +, <a class="el" href="classarmnn_1_1_sample_dynamic_addition_workload.html#ae071e8822437c78baea75c3aef3a263a">SampleDynamicAdditionWorkload</a> +, <a class="el" href="classarmnn_1_1_sync_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">SyncMemGenericWorkload</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>ExportNetwork() +: <a class="el" href="classarmnn_1_1_i_network_quantizer.html#a2c24535b51018853e67bad277f4cbbeb">INetworkQuantizer</a> +, <a class="el" href="classarmnn_1_1_network_quantizer.html#a8768a9dd173e985bfc0c72338662d631">NetworkQuantizer</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 Fri Mar 13 2020 16:07:06 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> |