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&#160;

<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&lt; Functor &gt;</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&lt; Functor &gt;</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&lt; Level &gt;</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&lt; IType &gt;</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&lt; ObservedType &gt;</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>Event()
: <a class="el" href="classarmnn_1_1_event.html#a62ff1ba347b8e391b8cc03e632703df5">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_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_scatter_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClScatterNdWorkload</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_gpu_fsa_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">GpuFsaConstantWorkload</a>
, <a class="el" href="classarmnn_1_1_gpu_fsa_pre_compiled_workload.html#ae071e8822437c78baea75c3aef3a263a">GpuFsaPreCompiledWorkload</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>
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, <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&lt; QueueDescriptor &gt;</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&lt; DataType &gt;</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&lt; Functor, ParentDescriptor, DebugString &gt;</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&lt; DataType &gt;</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="classarmnn_1_1_ref_scatter_nd_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefScatterNdWorkload</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&lt; DataType &gt;</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&lt; Parameters &gt;</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&lt; DefaultStrategy &gt;</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>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>
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