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36 <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/>
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39 &#160;<span id="projectnumber">24.05</span>
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94<div class="contents">
95&#160;
96
97<h3><a id="index_e"></a>- e -</h3><ul>
98<li>ElementwiseBaseLayer()
99: <a class="el" href="classarmnn_1_1_elementwise_base_layer.html#a6aa67447c0f7d3aa62124c535e5b550b">ElementwiseBaseLayer</a>
100</li>
101<li>ElementwiseBinaryDescriptor()
102: <a class="el" href="structarmnn_1_1_elementwise_binary_descriptor.html#a8a8f2e6761bd818ffba130355d3b14bd">ElementwiseBinaryDescriptor</a>
103</li>
104<li>ElementwiseBinaryFunction()
105: <a class="el" href="structarmnn_1_1_elementwise_binary_function.html#a12cf00d4ad8e7a82d40b10878fd91507">ElementwiseBinaryFunction&lt; Functor &gt;</a>
106</li>
107<li>ElementwiseBinaryLayer()
108: <a class="el" href="classarmnn_1_1_elementwise_binary_layer.html#aa345377aa7ae6160626f84002cef78ff">ElementwiseBinaryLayer</a>
109</li>
110<li>ElementwiseUnaryDescriptor()
111: <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.html#a3f8539a92fa960a194527b03c2183172">ElementwiseUnaryDescriptor</a>
112</li>
113<li>ElementwiseUnaryFunction()
114: <a class="el" href="structarmnn_1_1_elementwise_unary_function.html#a6cada5f35c3f1c582a2c8587ddf2b6c6">ElementwiseUnaryFunction&lt; Functor &gt;</a>
115</li>
116<li>ElementwiseUnaryLayer()
117: <a class="el" href="classarmnn_1_1_elementwise_unary_layer.html#a86e2eb10cb45dbf64a1c962edd411c97">ElementwiseUnaryLayer</a>
118</li>
119<li>Enable()
120: <a class="el" href="classarmnn_1_1_simple_logger.html#a19c7e3a87f2ba3600d28bca9aaeac448">SimpleLogger&lt; Level &gt;</a>
121</li>
122<li>EnableDetailsOnly()
123: <a class="el" href="structarmnn_1_1_json_child_object.html#a40f1e32f39820f375a03b3aff5deede8">JsonChildObject</a>
124</li>
125<li>EnableNetworkDetailsToStdOut()
126: <a class="el" href="classarmnn_1_1_i_profiler.html#a2eb407e04f6462e4fd4ac0fd27dee141">IProfiler</a>
127, <a class="el" href="classarmnn_1_1_profiler_impl.html#a2eb407e04f6462e4fd4ac0fd27dee141">ProfilerImpl</a>
128</li>
129<li>EnableProfiling()
130: <a class="el" href="classarmnn_1_1_i_profiler.html#af556ae358458c476f8594b3bbb28d712">IProfiler</a>
131, <a class="el" href="classarmnn_1_1_profiler_impl.html#af556ae358458c476f8594b3bbb28d712">ProfilerImpl</a>
132</li>
133<li>Encoder()
134: <a class="el" href="classarmnn_1_1_encoder.html#a4fa6adc41ee005f5915cabd54e9dc0d9">Encoder&lt; IType &gt;</a>
135</li>
136<li>end()
137: <a class="el" href="classarmnn_1_1_graph.html#ab45dae688fc5d8983727abffa4389003">Graph</a>
138, <a class="el" href="structarmnn_1_1_graph_1_1_input_layers_accessor.html#a39ebf520b6f30ab8776bdcb99ee38b93">Graph::InputLayersAccessor</a>
139, <a class="el" href="structarmnn_1_1_graph_1_1_output_layers_accessor.html#ad2a661f37e89422e29dc70b3e4cc7185">Graph::OutputLayersAccessor</a>
140, <a class="el" href="classarmnn_1_1_graph_observable.html#ab45dae688fc5d8983727abffa4389003">GraphObservable&lt; ObservedType &gt;</a>
141, <a class="el" href="classarmnn_1_1_permutation_vector.html#a69b6e2a03c835ca5d658a1f16acbaa9c">PermutationVector</a>
142, <a class="el" href="classarmnn_1_1_subgraph_view.html#afc40490fb4f488bd2a211e81c06a6971">SubgraphView</a>
143</li>
144<li>EndEvent()
145: <a class="el" href="classarmnn_1_1_profiler_impl.html#a8ed16398e69bb7b0625e3cf4a279b1f3">ProfilerImpl</a>
146</li>
147<li>EndInputSlots()
148: <a class="el" href="classarmnn_1_1_layer.html#a9752e12d6b79e18da1a25f76159d2a72">Layer</a>
149</li>
150<li>EndOutputSlots()
151: <a class="el" href="classarmnn_1_1_layer.html#a55f76d98fcd2f5cdac3e2b14536cb7ab">Layer</a>
152</li>
153<li>EnqueueWorkload()
154: <a class="el" href="classarmnn_1_1_i_runtime.html#aca51209383683ab8dbe801bbfddfe0c0">IRuntime</a>
155, <a class="el" href="classarmnn_1_1_loaded_network.html#a87880cba8611688cc57bec8f913958e8">LoadedNetwork</a>
156, <a class="el" href="structarmnn_1_1_runtime_impl.html#aca51209383683ab8dbe801bbfddfe0c0">RuntimeImpl</a>
157</li>
158<li>ErasedLayerNamesObservable()
159: <a class="el" href="classarmnn_1_1_erased_layer_names_observable.html#a06539bb23889d36cd821919f27d3d9c5">ErasedLayerNamesObservable</a>
160</li>
161<li>EraseLayer()
162: <a class="el" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">Graph</a>
163</li>
164<li>Event()
165: <a class="el" href="classarmnn_1_1_event.html#a62ff1ba347b8e391b8cc03e632703df5">Event</a>
166</li>
167<li>Exception()
168: <a class="el" href="classarmnn_1_1_exception.html#ad56b7b14f59554e891ad88b26cbf8ac3">Exception</a>
169</li>
170<li>Execute()
171: <a class="el" href="classarmnn_1_1_cl_abs_workload.html#ae071e8822437c78baea75c3aef3a263a">ClAbsWorkload</a>
172, <a class="el" href="classarmnn_1_1_cl_activation_workload.html#ae071e8822437c78baea75c3aef3a263a">ClActivationWorkload</a>
173, <a class="el" href="classarmnn_1_1_cl_addition_workload.html#ae071e8822437c78baea75c3aef3a263a">ClAdditionWorkload</a>
174, <a class="el" href="classarmnn_1_1_cl_arg_min_max_workload.html#ae071e8822437c78baea75c3aef3a263a">ClArgMinMaxWorkload</a>
175, <a class="el" href="classarmnn_1_1_cl_batch_mat_mul_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchMatMulWorkload</a>
176, <a class="el" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchNormalizationFloatWorkload</a>
177, <a class="el" href="classarmnn_1_1_cl_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchToSpaceNdWorkload</a>
178, <a class="el" href="classarmnn_1_1_cl_cast_workload.html#ae071e8822437c78baea75c3aef3a263a">ClCastWorkload</a>
179, <a class="el" href="classarmnn_1_1_cl_channel_shuffle_workload.html#ae071e8822437c78baea75c3aef3a263a">ClChannelShuffleWorkload</a>
180, <a class="el" href="classarmnn_1_1_cl_comparison_workload.html#ae071e8822437c78baea75c3aef3a263a">ClComparisonWorkload</a>
181, <a class="el" href="classarmnn_1_1_cl_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConcatWorkload</a>
182, <a class="el" href="classarmnn_1_1_cl_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConstantWorkload</a>
183, <a class="el" href="classarmnn_1_1_cl_convert_fp16_to_fp32_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvertFp16ToFp32Workload</a>
184, <a class="el" href="classarmnn_1_1_cl_convert_fp32_to_fp16_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvertFp32ToFp16Workload</a>
185, <a class="el" href="classarmnn_1_1_cl_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvolution2dWorkload</a>
186, <a class="el" href="classarmnn_1_1_cl_convolution3d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvolution3dWorkload</a>
187, <a class="el" href="classarmnn_1_1_cl_depth_to_space_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDepthToSpaceWorkload</a>
188, <a class="el" href="classarmnn_1_1_cl_depthwise_convolution_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDepthwiseConvolutionWorkload</a>
189, <a class="el" href="classarmnn_1_1_cl_dequantize_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDequantizeWorkload</a>
190, <a class="el" href="classarmnn_1_1_cl_division_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDivisionWorkload</a>
191, <a class="el" href="classarmnn_1_1_cl_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">ClElementwiseBinaryWorkload</a>
192, <a class="el" href="classarmnn_1_1_cl_exp_workload.html#ae071e8822437c78baea75c3aef3a263a">ClExpWorkload</a>
193, <a class="el" href="classarmnn_1_1_cl_fill_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFillWorkload</a>
194, <a class="el" href="classarmnn_1_1_cl_floor_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFloorFloatWorkload</a>
195, <a class="el" href="classarmnn_1_1_cl_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFullyConnectedWorkload</a>
196, <a class="el" href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGatherNdWorkload</a>
197, <a class="el" href="classarmnn_1_1_cl_gather_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGatherWorkload</a>
198, <a class="el" href="classarmnn_1_1_cl_instance_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">ClInstanceNormalizationWorkload</a>
199, <a class="el" href="classarmnn_1_1_cl_l2_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClL2NormalizationFloatWorkload</a>
200, <a class="el" href="classarmnn_1_1_cl_logical_and_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogicalAndWorkload</a>
201, <a class="el" href="classarmnn_1_1_cl_logical_not_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogicalNotWorkload</a>
202, <a class="el" href="classarmnn_1_1_cl_logical_or_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogicalOrWorkload</a>
203, <a class="el" href="classarmnn_1_1_cl_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogSoftmaxWorkload</a>
204, <a class="el" href="classarmnn_1_1_cl_log_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogWorkload</a>
205, <a class="el" href="classarmnn_1_1_cl_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLstmFloatWorkload</a>
206, <a class="el" href="classarmnn_1_1_cl_maximum_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMaximumWorkload</a>
207, <a class="el" href="classarmnn_1_1_cl_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMeanWorkload</a>
208, <a class="el" href="classarmnn_1_1_cl_minimum_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMinimumWorkload</a>
209, <a class="el" href="classarmnn_1_1_cl_multiplication_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMultiplicationWorkload</a>
210, <a class="el" href="classarmnn_1_1_cl_neg_workload.html#ae071e8822437c78baea75c3aef3a263a">ClNegWorkload</a>
211, <a class="el" href="classarmnn_1_1_cl_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClNormalizationFloatWorkload</a>
212, <a class="el" href="classarmnn_1_1_cl_pad_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPadWorkload</a>
213, <a class="el" href="classarmnn_1_1_cl_permute_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPermuteWorkload</a>
214, <a class="el" href="classarmnn_1_1_cl_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPooling2dWorkload</a>
215, <a class="el" href="classarmnn_1_1_cl_pooling3d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPooling3dWorkload</a>
216, <a class="el" href="classarmnn_1_1_cl_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPreluWorkload</a>
217, <a class="el" href="classarmnn_1_1_cl_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQLstmWorkload</a>
218, <a class="el" href="classarmnn_1_1_cl_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQuantizedLstmWorkload</a>
219, <a class="el" href="classarmnn_1_1_cl_quantize_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQuantizeWorkload</a>
220, <a class="el" href="structarmnn_1_1_cl_rank_workload.html#a9b5a391ab2d035e1e4f59251cd8e2446">ClRankWorkload</a>
221, <a class="el" href="classarmnn_1_1_cl_reduce_workload.html#ae071e8822437c78baea75c3aef3a263a">ClReduceWorkload</a>
222, <a class="el" href="classarmnn_1_1_cl_reshape_workload.html#ae071e8822437c78baea75c3aef3a263a">ClReshapeWorkload</a>
223, <a class="el" href="classarmnn_1_1_cl_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">ClResizeWorkload</a>
224, <a class="el" href="classarmnn_1_1_cl_reverse_v2_workload.html#ae071e8822437c78baea75c3aef3a263a">ClReverseV2Workload</a>
225, <a class="el" href="classarmnn_1_1_cl_rsqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">ClRsqrtWorkload</a>
226, <a class="el" href="classarmnn_1_1_cl_scatter_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClScatterNdWorkload</a>
227, <a class="el" href="classarmnn_1_1_cl_sin_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSinWorkload</a>
228, <a class="el" href="classarmnn_1_1_cl_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSliceWorkload</a>
229, <a class="el" href="classarmnn_1_1_cl_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSoftmaxWorkload</a>
230, <a class="el" href="classarmnn_1_1_cl_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSpaceToBatchNdWorkload</a>
231, <a class="el" href="classarmnn_1_1_cl_space_to_depth_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSpaceToDepthWorkload</a>
232, <a class="el" href="classarmnn_1_1_cl_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSplitterWorkload</a>
233, <a class="el" href="classarmnn_1_1_cl_sqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSqrtWorkload</a>
234, <a class="el" href="classarmnn_1_1_cl_stack_workload.html#ae071e8822437c78baea75c3aef3a263a">ClStackWorkload</a>
235, <a class="el" href="classarmnn_1_1_cl_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">ClStridedSliceWorkload</a>
236, <a class="el" href="classarmnn_1_1_cl_subtraction_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSubtractionWorkload</a>
237, <a class="el" href="classarmnn_1_1_cl_tile_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTileWorkload</a>
238, <a class="el" href="classarmnn_1_1_cl_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTransposeConvolution2dWorkload</a>
239, <a class="el" href="classarmnn_1_1_cl_transpose_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTransposeWorkload</a>
240, <a class="el" href="classarmnn_1_1_cl_unidirectional_sequence_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClUnidirectionalSequenceLstmFloatWorkload</a>
241, <a class="el" href="classarmnn_1_1_copy_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">CopyMemGenericWorkload</a>
242, <a class="el" href="classarmnn_1_1_gpu_fsa_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">GpuFsaConstantWorkload</a>
243, <a class="el" href="classarmnn_1_1_gpu_fsa_pre_compiled_workload.html#ae071e8822437c78baea75c3aef3a263a">GpuFsaPreCompiledWorkload</a>
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245, <a class="el" href="classarmnn_1_1_i_runtime.html#a27f91ba619c3c6fd5e640df91b3fd080">IRuntime</a>
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375, <a class="el" href="classarmnn_1_1_ref_space_to_depth_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSpaceToDepthWorkload</a>
376, <a class="el" href="classarmnn_1_1_ref_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSplitterWorkload</a>
377, <a class="el" href="classarmnn_1_1_ref_stack_workload.html#ae071e8822437c78baea75c3aef3a263a">RefStackWorkload</a>
378, <a class="el" href="classarmnn_1_1_ref_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">RefStridedSliceWorkload</a>
379, <a class="el" href="classarmnn_1_1_ref_tile_workload.html#ae071e8822437c78baea75c3aef3a263a">RefTileWorkload</a>
380, <a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefTransposeConvolution2dWorkload</a>
381, <a class="el" href="classarmnn_1_1_ref_transpose_workload.html#ae071e8822437c78baea75c3aef3a263a">RefTransposeWorkload&lt; DataType &gt;</a>
382, <a class="el" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefUnidirectionalSequenceLstmWorkload</a>
383, <a class="el" href="structarmnn_1_1_runtime_impl.html#a5637cf5a5ddd5da1058606e26ca06737">RuntimeImpl</a>
384, <a class="el" href="classarmnn_1_1_sync_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">SyncMemGenericWorkload</a>
385, <a class="el" href="classarmnn_1_1_tosa_ref_pre_compiled_workload.html#ae071e8822437c78baea75c3aef3a263a">TosaRefPreCompiledWorkload</a>
386, <a class="el" href="classarmnn_1_1_unmap_workload.html#ae071e8822437c78baea75c3aef3a263a">UnmapWorkload</a>
387</li>
388<li>execute()
389: <a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.html#a67e5c38788f9b0152baee24e8f57bc2b">ArmnnPreparedModel</a>
390</li>
391<li>Execute()
392: <a class="el" href="classsdb_1_1_sample_dynamic_addition_workload.html#ae071e8822437c78baea75c3aef3a263a">SampleDynamicAdditionWorkload</a>
393</li>
394<li>ExecuteAsync()
395: <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; QueueDescriptor &gt;</a>
396, <a class="el" href="classarmnn_1_1_copy_mem_generic_workload.html#ae1c43d025fc90382d7aff7a500937e2c">CopyMemGenericWorkload</a>
397, <a class="el" href="classarmnn_1_1_i_workload.html#a9a6e9a0e7eaae5a30b0ea0c9ba7b468b">IWorkload</a>
398, <a class="el" href="classarmnn_1_1_ref_activation_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefActivationWorkload</a>
399, <a class="el" href="classarmnn_1_1_ref_arg_min_max_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefArgMinMaxWorkload</a>
400, <a class="el" href="classarmnn_1_1_ref_batch_mat_mul_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefBatchMatMulWorkload</a>
401, <a class="el" href="classarmnn_1_1_ref_batch_normalization_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefBatchNormalizationWorkload</a>
402, <a class="el" href="classarmnn_1_1_ref_batch_to_space_nd_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefBatchToSpaceNdWorkload</a>
403, <a class="el" href="classarmnn_1_1_ref_broadcast_to_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefBroadcastToWorkload</a>
404, <a class="el" href="classarmnn_1_1_ref_cast_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefCastWorkload</a>
405, <a class="el" href="classarmnn_1_1_ref_channel_shuffle_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefChannelShuffleWorkload</a>
406, <a class="el" href="classarmnn_1_1_ref_comparison_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefComparisonWorkload</a>
407, <a class="el" href="classarmnn_1_1_ref_concat_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConcatWorkload</a>
408, <a class="el" href="classarmnn_1_1_ref_constant_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConstantWorkload</a>
409, <a class="el" href="classarmnn_1_1_ref_convert_fp16_to_fp32_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConvertFp16ToFp32Workload</a>
410, <a class="el" href="classarmnn_1_1_ref_convert_fp32_to_fp16_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConvertFp32ToFp16Workload</a>
411, <a class="el" href="classarmnn_1_1_ref_convolution2d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConvolution2dWorkload</a>
412, <a class="el" href="classarmnn_1_1_ref_convolution3d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConvolution3dWorkload</a>
413, <a class="el" href="classarmnn_1_1_ref_debug_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefDebugWorkload&lt; DataType &gt;</a>
414, <a class="el" href="classarmnn_1_1_ref_depth_to_space_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefDepthToSpaceWorkload</a>
415, <a class="el" href="classarmnn_1_1_ref_depthwise_convolution2d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefDepthwiseConvolution2dWorkload</a>
416, <a class="el" href="classarmnn_1_1_ref_dequantize_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefDequantizeWorkload</a>
417, <a class="el" href="classarmnn_1_1_ref_detection_post_process_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefDetectionPostProcessWorkload</a>
418, <a class="el" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseBinaryWorkload</a>
419, <a class="el" href="classarmnn_1_1_ref_elementwise_unary_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseUnaryWorkload</a>
420, <a class="el" href="classarmnn_1_1_ref_elementwise_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseWorkload&lt; Functor, ParentDescriptor, DebugString &gt;</a>
421, <a class="el" href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefFakeQuantizationFloat32Workload</a>
422, <a class="el" href="classarmnn_1_1_ref_fill_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefFillWorkload</a>
423, <a class="el" href="classarmnn_1_1_ref_floor_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefFloorWorkload</a>
424, <a class="el" href="classarmnn_1_1_ref_fully_connected_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefFullyConnectedWorkload</a>
425, <a class="el" href="classarmnn_1_1_ref_gather_nd_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefGatherNdWorkload</a>
426, <a class="el" href="classarmnn_1_1_ref_gather_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefGatherWorkload</a>
427, <a class="el" href="classarmnn_1_1_ref_instance_normalization_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefInstanceNormalizationWorkload</a>
428, <a class="el" href="classarmnn_1_1_ref_l2_normalization_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefL2NormalizationWorkload</a>
429, <a class="el" href="classarmnn_1_1_ref_logical_binary_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefLogicalBinaryWorkload</a>
430, <a class="el" href="classarmnn_1_1_ref_logical_unary_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefLogicalUnaryWorkload</a>
431, <a class="el" href="classarmnn_1_1_ref_log_softmax_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefLogSoftmaxWorkload</a>
432, <a class="el" href="classarmnn_1_1_ref_lstm_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefLstmWorkload</a>
433, <a class="el" href="classarmnn_1_1_ref_mean_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefMeanWorkload</a>
434, <a class="el" href="classarmnn_1_1_ref_normalization_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefNormalizationWorkload</a>
435, <a class="el" href="classarmnn_1_1_ref_pad_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefPadWorkload</a>
436, <a class="el" href="classarmnn_1_1_ref_permute_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefPermuteWorkload&lt; DataType &gt;</a>
437, <a class="el" href="classarmnn_1_1_ref_pooling2d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefPooling2dWorkload</a>
438, <a class="el" href="classarmnn_1_1_ref_pooling3d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefPooling3dWorkload</a>
439, <a class="el" href="classarmnn_1_1_ref_prelu_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefPreluWorkload</a>
440, <a class="el" href="classarmnn_1_1_ref_q_lstm_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefQLstmWorkload</a>
441, <a class="el" href="classarmnn_1_1_ref_quantize_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefQuantizeWorkload</a>
442, <a class="el" href="structarmnn_1_1_ref_rank_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefRankWorkload</a>
443, <a class="el" href="classarmnn_1_1_ref_reduce_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefReduceWorkload</a>
444, <a class="el" href="classarmnn_1_1_ref_reshape_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefReshapeWorkload</a>
445, <a class="el" href="classarmnn_1_1_ref_resize_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefResizeWorkload</a>
446, <a class="el" href="classarmnn_1_1_ref_reverse_v2_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefReverseV2Workload</a>
447, <a class="el" href="classarmnn_1_1_ref_scatter_nd_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefScatterNdWorkload</a>
448, <a class="el" href="structarmnn_1_1_ref_shape_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefShapeWorkload</a>
449, <a class="el" href="classarmnn_1_1_ref_slice_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefSliceWorkload</a>
450, <a class="el" href="classarmnn_1_1_ref_softmax_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefSoftmaxWorkload</a>
451, <a class="el" href="classarmnn_1_1_ref_space_to_batch_nd_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefSpaceToBatchNdWorkload</a>
452, <a class="el" href="classarmnn_1_1_ref_space_to_depth_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefSpaceToDepthWorkload</a>
453, <a class="el" href="classarmnn_1_1_ref_splitter_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefSplitterWorkload</a>
454, <a class="el" href="classarmnn_1_1_ref_stack_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefStackWorkload</a>
455, <a class="el" href="classarmnn_1_1_ref_strided_slice_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefStridedSliceWorkload</a>
456, <a class="el" href="classarmnn_1_1_ref_tile_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefTileWorkload</a>
457, <a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefTransposeConvolution2dWorkload</a>
458, <a class="el" href="classarmnn_1_1_ref_transpose_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefTransposeWorkload&lt; DataType &gt;</a>
459, <a class="el" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefUnidirectionalSequenceLstmWorkload</a>
460, <a class="el" href="classarmnn_1_1_sync_mem_generic_workload.html#ae1c43d025fc90382d7aff7a500937e2c">SyncMemGenericWorkload</a>
461</li>
462<li>executeFenced()
463: <a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.html#a8d70cd869c7c1eda1c5891ba7e015661">ArmnnPreparedModel</a>
464</li>
465<li>ExecuteGraph()
466: <a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.html#af62ba010a5b9f3187cfeb50db1dcad0a">ArmnnPreparedModel</a>
467</li>
468<li>ExecuteStrategy()
469: <a class="el" href="classarmnn_1_1_abs_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">AbsLayer</a>
470, <a class="el" href="classarmnn_1_1_activation_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ActivationLayer</a>
471, <a class="el" href="classarmnn_1_1_addition_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">AdditionLayer</a>
472, <a class="el" href="classarmnn_1_1_arg_min_max_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ArgMinMaxLayer</a>
473, <a class="el" href="classarmnn_1_1_batch_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BatchNormalizationLayer</a>
474, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BatchToSpaceNdLayer</a>
475, <a class="el" href="classarmnn_1_1_bindable_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BindableLayer</a>
476, <a class="el" href="classarmnn_1_1_broadcast_to_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BroadcastToLayer</a>
477, <a class="el" href="classarmnn_1_1_comparison_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ComparisonLayer</a>
478, <a class="el" href="classarmnn_1_1_concat_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConcatLayer</a>
479, <a class="el" href="classarmnn_1_1_constant_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConstantLayer</a>
480, <a class="el" href="classarmnn_1_1_convert_fp16_to_fp32_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConvertFp16ToFp32Layer</a>
481, <a class="el" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConvertFp32ToFp16Layer</a>
482, <a class="el" href="classarmnn_1_1_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Convolution2dLayer</a>
483, <a class="el" href="classarmnn_1_1_convolution3d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Convolution3dLayer</a>
484, <a class="el" href="classarmnn_1_1_debug_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DebugLayer</a>
485, <a class="el" href="classarmnn_1_1_depth_to_space_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DepthToSpaceLayer</a>
486, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DepthwiseConvolution2dLayer</a>
487, <a class="el" href="classarmnn_1_1_dequantize_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DequantizeLayer</a>
488, <a class="el" href="classarmnn_1_1_detection_post_process_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DetectionPostProcessLayer</a>
489, <a class="el" href="classarmnn_1_1_division_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">DivisionLayer</a>
490, <a class="el" href="classarmnn_1_1_elementwise_base_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ElementwiseBaseLayer</a>
491, <a class="el" href="classarmnn_1_1_elementwise_binary_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ElementwiseBinaryLayer</a>
492, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ElementwiseUnaryLayer</a>
493, <a class="el" href="classarmnn_1_1_fake_quantization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FakeQuantizationLayer</a>
494, <a class="el" href="classarmnn_1_1_fill_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FillLayer</a>
495, <a class="el" href="classarmnn_1_1_floor_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FloorLayer</a>
496, <a class="el" href="classarmnn_1_1_fully_connected_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FullyConnectedLayer</a>
497, <a class="el" href="classarmnn_1_1_fused_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FusedLayer</a>
498, <a class="el" href="classarmnn_1_1_gather_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">GatherLayer</a>
499, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a52799628c0df0037c4708de02bec7185">IConnectableLayer</a>
500, <a class="el" href="classarmnn_1_1_i_network.html#a72032c65bf8b8acf09b564b7d80078c5">INetwork</a>
501, <a class="el" href="classarmnn_1_1_input_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">InputLayer</a>
502, <a class="el" href="classarmnn_1_1_instance_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">InstanceNormalizationLayer</a>
503, <a class="el" href="classarmnn_1_1_i_optimized_network.html#a72032c65bf8b8acf09b564b7d80078c5">IOptimizedNetwork</a>
504, <a class="el" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">IStrategy</a>
505, <a class="el" href="classarmnn_1_1_l2_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">L2NormalizationLayer</a>
506, <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>
507, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters&lt; Parameters &gt;</a>
508, <a class="el" href="classarmnn_1_1_logical_binary_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LogicalBinaryLayer</a>
509, <a class="el" href="classarmnn_1_1_log_softmax_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LogSoftmaxLayer</a>
510, <a class="el" href="classarmnn_1_1_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">LstmLayer</a>
511, <a class="el" href="classarmnn_1_1_map_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MapLayer</a>
512, <a class="el" href="classarmnn_1_1_maximum_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MaximumLayer</a>
513, <a class="el" href="classarmnn_1_1_mean_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MeanLayer</a>
514, <a class="el" href="classarmnn_1_1_mem_copy_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MemCopyLayer</a>
515, <a class="el" href="classarmnn_1_1_mem_import_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MemImportLayer</a>
516, <a class="el" href="classarmnn_1_1_merge_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MergeLayer</a>
517, <a class="el" href="classarmnn_1_1_minimum_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MinimumLayer</a>
518, <a class="el" href="classarmnn_1_1_multiplication_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">MultiplicationLayer</a>
519, <a class="el" href="classarmnn_1_1_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">NetworkImpl</a>
520, <a class="el" href="classarmnn_1_1_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">NormalizationLayer</a>
521, <a class="el" href="classarmnn_1_1_optimized_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">OptimizedNetworkImpl</a>
522, <a class="el" href="classarmnn_1_1_output_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">OutputLayer</a>
523, <a class="el" href="classarmnn_1_1_pad_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PadLayer</a>
524, <a class="el" href="classarmnn_1_1_permute_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PermuteLayer</a>
525, <a class="el" href="classarmnn_1_1_pooling2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Pooling2dLayer</a>
526, <a class="el" href="classarmnn_1_1_pooling3d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Pooling3dLayer</a>
527, <a class="el" href="classarmnn_1_1_pre_compiled_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PreCompiledLayer</a>
528, <a class="el" href="classarmnn_1_1_prelu_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PreluLayer</a>
529, <a class="el" href="classarmnn_1_1_q_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">QLstmLayer</a>
530, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">QuantizedLstmLayer</a>
531, <a class="el" href="classarmnn_1_1_quantize_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">QuantizeLayer</a>
532, <a class="el" href="classarmnn_1_1_rank_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">RankLayer</a>
533, <a class="el" href="classarmnn_1_1_reduce_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ReduceLayer</a>
534, <a class="el" href="classarmnn_1_1_reshape_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ReshapeLayer</a>
535, <a class="el" href="classarmnn_1_1_resize_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ResizeLayer</a>
536, <a class="el" href="classarmnn_1_1_reverse_v2_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ReverseV2Layer</a>
537, <a class="el" href="classarmnn_1_1_rsqrt_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">RsqrtLayer</a>
538, <a class="el" href="classarmnn_1_1_shape_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ShapeLayer</a>
539, <a class="el" href="classarmnn_1_1_slice_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SliceLayer</a>
540, <a class="el" href="classarmnn_1_1_softmax_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SoftmaxLayer</a>
541, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SpaceToBatchNdLayer</a>
542, <a class="el" href="classarmnn_1_1_space_to_depth_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SpaceToDepthLayer</a>
543, <a class="el" href="classarmnn_1_1_splitter_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SplitterLayer</a>
544, <a class="el" href="classarmnn_1_1_stack_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">StackLayer</a>
545, <a class="el" href="classarmnn_1_1_stand_in_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">StandInLayer</a>
546, <a class="el" href="classarmnn_1_1_strategy_base.html#a889a82ed924e0a300c4d98a0333b37ff">StrategyBase&lt; DefaultStrategy &gt;</a>
547, <a class="el" href="classarmnn_1_1_strided_slice_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">StridedSliceLayer</a>
548, <a class="el" href="classarmnn_1_1_subtraction_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SubtractionLayer</a>
549, <a class="el" href="classarmnn_1_1_switch_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">SwitchLayer</a>
550, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">TransposeConvolution2dLayer</a>
551, <a class="el" href="classarmnn_1_1_transpose_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">TransposeLayer</a>
552, <a class="el" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">UnidirectionalSequenceLstmLayer</a>
553, <a class="el" href="classarmnn_1_1_unmap_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">UnmapLayer</a>
554, <a class="el" href="classarmnn_serializer_1_1_serializer_strategy.html#aa2061a0934479222cae45c8ee62284d9">SerializerStrategy</a>
555</li>
556<li>ExecuteWithDummyInputs()
557: <a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.html#ad84aace3d1df79ad6fa37dcd952c085f">ArmnnPreparedModel</a>
558</li>
559<li>ExecuteWorkloads()
560: <a class="el" href="classarmnn_1_1_execution_frame.html#a53bc9f544fe292cbbc2d258595bc3af7">ExecutionFrame</a>
561, <a class="el" href="classarmnn_1_1_i_execution_frame.html#a62a4e8e95f13a5b8fd62008423160362">IExecutionFrame</a>
562</li>
563<li>ExecutionFrame()
564: <a class="el" href="classarmnn_1_1_execution_frame.html#ad93148c735945f614be3a5e57c3c1dad">ExecutionFrame</a>
565</li>
566<li>ExternalProfilingOptions()
567: <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options_1_1_external_profiling_options.html#ad290ff73f5e32ea7e4e549d743815ff8">IRuntime::CreationOptions::ExternalProfilingOptions</a>
568</li>
569</ul>
570</div><!-- contents -->
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575 <li class="footer">Generated on Thu May 16 2024 09:32:01 for Arm NN by
576 <a href="http://www.doxygen.org/index.html">
577 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li>
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