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31 <div id="projectname">ArmNN
32 &#160;<span id="projectnumber">NotReleased</span>
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81
82<div class="contents">
83<div class="textblock">Here is a list of all class members with links to the classes they belong to:</div>
84
85<h3><a id="index_e"></a>- e -</h3><ul>
86<li>ElementwiseBaseLayer()
87: <a class="el" href="classarmnn_1_1_elementwise_base_layer.html#a6aa67447c0f7d3aa62124c535e5b550b">ElementwiseBaseLayer</a>
88</li>
89<li>ElementwiseBinaryFunction()
90: <a class="el" href="structarmnn_1_1_elementwise_binary_function.html#a12cf00d4ad8e7a82d40b10878fd91507">ElementwiseBinaryFunction&lt; Functor &gt;</a>
91</li>
92<li>ElementwiseUnaryDescriptor()
93: <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.html#a6b7d869ff464fce01745b97f89cc1a02">ElementwiseUnaryDescriptor</a>
94</li>
95<li>ElementwiseUnaryFunction()
96: <a class="el" href="structarmnn_1_1_elementwise_unary_function.html#a6cada5f35c3f1c582a2c8587ddf2b6c6">ElementwiseUnaryFunction&lt; Functor &gt;</a>
97</li>
98<li>ElementwiseUnaryLayer()
99: <a class="el" href="classarmnn_1_1_elementwise_unary_layer.html#a86e2eb10cb45dbf64a1c962edd411c97">ElementwiseUnaryLayer</a>
100</li>
101<li>Enable()
102: <a class="el" href="classarmnn_1_1_simple_logger.html#a19c7e3a87f2ba3600d28bca9aaeac448">SimpleLogger&lt; Level &gt;</a>
103</li>
104<li>EnableProfiling()
105: <a class="el" href="classarmnn_1_1_i_profiler.html#a769cdf670bd7cda3cda29dd40fbdebf4">IProfiler</a>
106, <a class="el" href="classarmnn_1_1_mock_backend_profiling_context.html#adedefb2326efe87593f72e1bddc0ed1b">MockBackendProfilingContext</a>
107, <a class="el" href="classarmnn_1_1_profiler.html#a537b76b2a9f7fbcb538eabe994e424e0">Profiler</a>
108, <a class="el" href="classarmnn_1_1profiling_1_1_i_backend_profiling_context.html#a5589708f9f5ad739add36e631a3817b5">IBackendProfilingContext</a>
109</li>
110<li>Encoder()
111: <a class="el" href="classarmnn_1_1_encoder.html#a4fa6adc41ee005f5915cabd54e9dc0d9">Encoder&lt; IType &gt;</a>
112</li>
113<li>end()
114: <a class="el" href="classarmnn_1_1_graph.html#ab45dae688fc5d8983727abffa4389003">Graph</a>
115, <a class="el" href="structarmnn_1_1_graph_1_1_input_layers_accessor.html#a39ebf520b6f30ab8776bdcb99ee38b93">Graph::InputLayersAccessor</a>
116, <a class="el" href="structarmnn_1_1_graph_1_1_output_layers_accessor.html#ad2a661f37e89422e29dc70b3e4cc7185">Graph::OutputLayersAccessor</a>
117, <a class="el" href="classarmnn_1_1_graph_observable.html#ab45dae688fc5d8983727abffa4389003">GraphObservable&lt; ObservedType &gt;</a>
118, <a class="el" href="classarmnn_1_1_permutation_vector.html#a69b6e2a03c835ca5d658a1f16acbaa9c">PermutationVector</a>
119, <a class="el" href="classarmnn_1_1_subgraph_view.html#aaf68d7cca5c48a7f3d398452a5244667">SubgraphView</a>
120, <a class="el" href="classarmnn_quantizer_1_1_quantization_data_set.html#acad38d52497a975bfb6f2f6acd76631f">QuantizationDataSet</a>
121</li>
122<li>EndEvent()
123: <a class="el" href="classarmnn_1_1_profiler.html#a8ed16398e69bb7b0625e3cf4a279b1f3">Profiler</a>
124</li>
125<li>EndInputSlots()
126: <a class="el" href="classarmnn_1_1_layer.html#a9752e12d6b79e18da1a25f76159d2a72">Layer</a>
127</li>
128<li>EndOutputSlots()
129: <a class="el" href="classarmnn_1_1_layer.html#a55f76d98fcd2f5cdac3e2b14536cb7ab">Layer</a>
130</li>
131<li>EnqueueWorkload()
132: <a class="el" href="classarmnn_1_1_i_runtime.html#aec0dc8016a3b1e444dfc1ffb5f15195c">IRuntime</a>
133, <a class="el" href="classarmnn_1_1_loaded_network.html#a878c3febb600fd2ccf3b5cb1f9a61e27">LoadedNetwork</a>
134, <a class="el" href="classarmnn_1_1_runtime.html#ad3be3cca4ac08a262383b96868f7123d">Runtime</a>
135</li>
136<li>ErasedLayerNamesObservable()
137: <a class="el" href="classarmnn_1_1_erased_layer_names_observable.html#a06539bb23889d36cd821919f27d3d9c5">ErasedLayerNamesObservable</a>
138</li>
139<li>EraseLayer()
140: <a class="el" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">Graph</a>
141</li>
142<li>Event()
143: <a class="el" href="classarmnn_1_1_event.html#a646c2ba712d97f26eb5b0e77e59d1722">Event</a>
144</li>
145<li>EventRecord
146: <a class="el" href="classarmnn_1_1profiling_1_1_send_counter_packet.html#a7b90a935def976944525581f5f254068">SendCounterPacket</a>
147</li>
148<li>Exception()
149: <a class="el" href="classarmnn_1_1_exception.html#ad56b7b14f59554e891ad88b26cbf8ac3">Exception</a>
150</li>
151<li>Execute()
152: <a class="el" href="classarmnn_1_1_cl_abs_workload.html#ae071e8822437c78baea75c3aef3a263a">ClAbsWorkload</a>
153, <a class="el" href="classarmnn_1_1_cl_activation_workload.html#ae071e8822437c78baea75c3aef3a263a">ClActivationWorkload</a>
154, <a class="el" href="classarmnn_1_1_cl_addition_workload.html#ae071e8822437c78baea75c3aef3a263a">ClAdditionWorkload</a>
155, <a class="el" href="classarmnn_1_1_cl_arg_min_max_workload.html#ae071e8822437c78baea75c3aef3a263a">ClArgMinMaxWorkload</a>
156, <a class="el" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchNormalizationFloatWorkload</a>
157, <a class="el" href="classarmnn_1_1_cl_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchToSpaceNdWorkload</a>
158, <a class="el" href="classarmnn_1_1_cl_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConcatWorkload</a>
159, <a class="el" href="classarmnn_1_1_cl_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConstantWorkload</a>
160, <a class="el" href="classarmnn_1_1_cl_convert_fp16_to_fp32_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvertFp16ToFp32Workload</a>
161, <a class="el" href="classarmnn_1_1_cl_convert_fp32_to_fp16_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvertFp32ToFp16Workload</a>
162, <a class="el" href="classarmnn_1_1_cl_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvolution2dWorkload</a>
163, <a class="el" href="classarmnn_1_1_cl_depth_to_space_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDepthToSpaceWorkload</a>
164, <a class="el" href="classarmnn_1_1_cl_depthwise_convolution_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDepthwiseConvolutionWorkload</a>
165, <a class="el" href="classarmnn_1_1_cl_dequantize_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDequantizeWorkload</a>
166, <a class="el" href="classarmnn_1_1_cl_division_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDivisionFloatWorkload</a>
167, <a class="el" href="classarmnn_1_1_cl_floor_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFloorFloatWorkload</a>
168, <a class="el" href="classarmnn_1_1_cl_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFullyConnectedWorkload</a>
169, <a class="el" href="classarmnn_1_1_cl_greater_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGreaterWorkload&lt; T &gt;</a>
170, <a class="el" href="classarmnn_1_1_cl_instance_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">ClInstanceNormalizationWorkload</a>
171, <a class="el" href="classarmnn_1_1_cl_l2_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClL2NormalizationFloatWorkload</a>
172, <a class="el" href="classarmnn_1_1_cl_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLstmFloatWorkload</a>
173, <a class="el" href="classarmnn_1_1_cl_maximum_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMaximumWorkload</a>
174, <a class="el" href="classarmnn_1_1_cl_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMeanWorkload</a>
175, <a class="el" href="classarmnn_1_1_cl_minimum_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMinimumWorkload</a>
176, <a class="el" href="classarmnn_1_1_cl_multiplication_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMultiplicationWorkload</a>
177, <a class="el" href="classarmnn_1_1_cl_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClNormalizationFloatWorkload</a>
178, <a class="el" href="classarmnn_1_1_cl_pad_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPadWorkload</a>
179, <a class="el" href="classarmnn_1_1_cl_permute_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPermuteWorkload</a>
180, <a class="el" href="classarmnn_1_1_cl_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPooling2dWorkload</a>
181, <a class="el" href="classarmnn_1_1_cl_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPreluWorkload</a>
182, <a class="el" href="classarmnn_1_1_cl_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQuantizedLstmWorkload</a>
183, <a class="el" href="classarmnn_1_1_cl_quantize_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQuantizeWorkload</a>
184, <a class="el" href="classarmnn_1_1_cl_reshape_workload.html#ae071e8822437c78baea75c3aef3a263a">ClReshapeWorkload</a>
185, <a class="el" href="classarmnn_1_1_cl_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">ClResizeWorkload</a>
186, <a class="el" href="classarmnn_1_1_cl_rsqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">ClRsqrtWorkload</a>
187, <a class="el" href="classarmnn_1_1_cl_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSliceWorkload</a>
188, <a class="el" href="classarmnn_1_1_cl_softmax_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSoftmaxFloatWorkload</a>
189, <a class="el" href="classarmnn_1_1_cl_softmax_uint8_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSoftmaxUint8Workload</a>
190, <a class="el" href="classarmnn_1_1_cl_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSpaceToBatchNdWorkload</a>
191, <a class="el" href="classarmnn_1_1_cl_space_to_depth_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSpaceToDepthWorkload</a>
192, <a class="el" href="classarmnn_1_1_cl_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSplitterWorkload</a>
193, <a class="el" href="classarmnn_1_1_cl_stack_workload.html#ae071e8822437c78baea75c3aef3a263a">ClStackWorkload</a>
194, <a class="el" href="classarmnn_1_1_cl_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">ClStridedSliceWorkload</a>
195, <a class="el" href="classarmnn_1_1_cl_subtraction_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSubtractionWorkload</a>
196, <a class="el" href="classarmnn_1_1_cl_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTransposeConvolution2dWorkload</a>
197, <a class="el" href="classarmnn_1_1_copy_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">CopyMemGenericWorkload</a>
198, <a class="el" href="classarmnn_1_1_import_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">ImportMemGenericWorkload</a>
199, <a class="el" href="classarmnn_1_1_i_workload.html#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>
200, <a class="el" href="classarmnn_1_1_neon_abs_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonAbsWorkload</a>
201, <a class="el" href="classarmnn_1_1_neon_activation_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonActivationWorkload</a>
202, <a class="el" href="classarmnn_1_1_neon_addition_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonAdditionWorkload</a>
203, <a class="el" href="classarmnn_1_1_neon_arg_min_max_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonArgMinMaxWorkload</a>
204, <a class="el" href="classarmnn_1_1_neon_batch_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonBatchNormalizationWorkload</a>
205, <a class="el" href="classarmnn_1_1_neon_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonBatchToSpaceNdWorkload</a>
206, <a class="el" href="classarmnn_1_1_neon_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConcatWorkload</a>
207, <a class="el" href="classarmnn_1_1_neon_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConstantWorkload</a>
208, <a class="el" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp16ToFp32Workload</a>
209, <a class="el" href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp32ToFp16Workload</a>
210, <a class="el" href="classarmnn_1_1_neon_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvolution2dWorkload</a>
211, <a class="el" href="classarmnn_1_1_neon_depth_to_space_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDepthToSpaceWorkload</a>
212, <a class="el" href="classarmnn_1_1_neon_depthwise_convolution_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDepthwiseConvolutionWorkload</a>
213, <a class="el" href="classarmnn_1_1_neon_dequantize_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDequantizeWorkload</a>
214, <a class="el" href="classarmnn_1_1_neon_detection_post_process_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDetectionPostProcessWorkload</a>
215, <a class="el" href="classarmnn_1_1_neon_division_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDivisionWorkload</a>
216, <a class="el" href="classarmnn_1_1_neon_floor_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFloorFloatWorkload</a>
217, <a class="el" href="classarmnn_1_1_neon_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFullyConnectedWorkload</a>
218, <a class="el" href="classarmnn_1_1_neon_greater_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonGreaterWorkload&lt; T &gt;</a>
219, <a class="el" href="classarmnn_1_1_neon_instance_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonInstanceNormalizationWorkload</a>
220, <a class="el" href="classarmnn_1_1_neon_l2_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonL2NormalizationFloatWorkload</a>
221, <a class="el" href="classarmnn_1_1_neon_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLstmFloatWorkload</a>
222, <a class="el" href="classarmnn_1_1_neon_maximum_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMaximumWorkload</a>
223, <a class="el" href="classarmnn_1_1_neon_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMeanWorkload</a>
224, <a class="el" href="classarmnn_1_1_neon_minimum_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMinimumWorkload</a>
225, <a class="el" href="classarmnn_1_1_neon_multiplication_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMultiplicationWorkload</a>
226, <a class="el" href="classarmnn_1_1_neon_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonNormalizationFloatWorkload</a>
227, <a class="el" href="classarmnn_1_1_neon_pad_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPadWorkload</a>
228, <a class="el" href="classarmnn_1_1_neon_permute_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPermuteWorkload</a>
229, <a class="el" href="classarmnn_1_1_neon_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPooling2dWorkload</a>
230, <a class="el" href="classarmnn_1_1_neon_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPreluWorkload</a>
231, <a class="el" href="classarmnn_1_1_neon_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonQuantizedLstmWorkload</a>
232, <a class="el" href="classarmnn_1_1_neon_quantize_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonQuantizeWorkload</a>
233, <a class="el" href="classarmnn_1_1_neon_reshape_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonReshapeWorkload</a>
234, <a class="el" href="classarmnn_1_1_neon_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonResizeWorkload</a>
235, <a class="el" href="classarmnn_1_1_neon_rsqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonRsqrtWorkload</a>
236, <a class="el" href="classarmnn_1_1_neon_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSliceWorkload</a>
237, <a class="el" href="classarmnn_1_1_neon_softmax_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSoftmaxFloatWorkload</a>
238, <a class="el" href="classarmnn_1_1_neon_softmax_uint8_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSoftmaxUint8Workload</a>
239, <a class="el" href="classarmnn_1_1_neon_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSpaceToBatchNdWorkload</a>
240, <a class="el" href="classarmnn_1_1_neon_space_to_depth_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSpaceToDepthWorkload</a>
241, <a class="el" href="classarmnn_1_1_neon_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSplitterWorkload</a>
242, <a class="el" href="classarmnn_1_1_neon_stack_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonStackWorkload</a>
243, <a class="el" href="classarmnn_1_1_neon_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonStridedSliceWorkload</a>
244, <a class="el" href="classarmnn_1_1_neon_subtraction_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSubtractionWorkload</a>
245, <a class="el" href="classarmnn_1_1_neon_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonTransposeConvolution2dWorkload</a>
246, <a class="el" href="classarmnn_1_1_ref_activation_workload.html#ae071e8822437c78baea75c3aef3a263a">RefActivationWorkload</a>
247, <a class="el" href="classarmnn_1_1_ref_arg_min_max_workload.html#ae071e8822437c78baea75c3aef3a263a">RefArgMinMaxWorkload</a>
248, <a class="el" href="classarmnn_1_1_ref_batch_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBatchNormalizationWorkload</a>
249, <a class="el" href="classarmnn_1_1_ref_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBatchToSpaceNdWorkload</a>
250, <a class="el" href="classarmnn_1_1_ref_comparison_workload.html#ae071e8822437c78baea75c3aef3a263a">RefComparisonWorkload</a>
251, <a class="el" href="classarmnn_1_1_ref_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConcatWorkload</a>
252, <a class="el" href="classarmnn_1_1_ref_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConstantWorkload</a>
253, <a class="el" href="classarmnn_1_1_ref_convert_fp16_to_fp32_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConvertFp16ToFp32Workload</a>
254, <a class="el" href="classarmnn_1_1_ref_convert_fp32_to_fp16_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConvertFp32ToFp16Workload</a>
255, <a class="el" href="classarmnn_1_1_ref_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConvolution2dWorkload</a>
256, <a class="el" href="classarmnn_1_1_ref_debug_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDebugWorkload&lt; DataType &gt;</a>
257, <a class="el" href="classarmnn_1_1_ref_depth_to_space_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDepthToSpaceWorkload</a>
258, <a class="el" href="classarmnn_1_1_ref_depthwise_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDepthwiseConvolution2dWorkload</a>
259, <a class="el" href="classarmnn_1_1_ref_dequantize_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDequantizeWorkload</a>
260, <a class="el" href="classarmnn_1_1_ref_detection_post_process_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDetectionPostProcessWorkload</a>
261, <a class="el" href="classarmnn_1_1_ref_elementwise_unary_workload.html#ae071e8822437c78baea75c3aef3a263a">RefElementwiseUnaryWorkload</a>
262, <a class="el" href="classarmnn_1_1_ref_elementwise_workload.html#ae071e8822437c78baea75c3aef3a263a">RefElementwiseWorkload&lt; Functor, ParentDescriptor, DebugString &gt;</a>
263, <a class="el" href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFakeQuantizationFloat32Workload</a>
264, <a class="el" href="classarmnn_1_1_ref_floor_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFloorWorkload</a>
265, <a class="el" href="classarmnn_1_1_ref_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFullyConnectedWorkload</a>
266, <a class="el" href="classarmnn_1_1_ref_gather_workload.html#ae071e8822437c78baea75c3aef3a263a">RefGatherWorkload</a>
267, <a class="el" href="classarmnn_1_1_ref_instance_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefInstanceNormalizationWorkload</a>
268, <a class="el" href="classarmnn_1_1_ref_l2_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefL2NormalizationWorkload</a>
269, <a class="el" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLogSoftmaxWorkload</a>
270, <a class="el" href="classarmnn_1_1_ref_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLstmWorkload</a>
271, <a class="el" href="classarmnn_1_1_ref_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">RefMeanWorkload</a>
272, <a class="el" href="classarmnn_1_1_ref_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefNormalizationWorkload</a>
273, <a class="el" href="classarmnn_1_1_ref_pad_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPadWorkload&lt; DataType &gt;</a>
274, <a class="el" href="classarmnn_1_1_ref_permute_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPermuteWorkload&lt; DataType &gt;</a>
275, <a class="el" href="classarmnn_1_1_ref_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPooling2dWorkload</a>
276, <a class="el" href="classarmnn_1_1_ref_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPreluWorkload</a>
277, <a class="el" href="classarmnn_1_1_ref_quantize_workload.html#ae071e8822437c78baea75c3aef3a263a">RefQuantizeWorkload</a>
278, <a class="el" href="classarmnn_1_1_ref_reshape_workload.html#ae071e8822437c78baea75c3aef3a263a">RefReshapeWorkload</a>
279, <a class="el" href="classarmnn_1_1_ref_resize_bilinear_workload.html#ae071e8822437c78baea75c3aef3a263a">RefResizeBilinearWorkload</a>
280, <a class="el" href="classarmnn_1_1_ref_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">RefResizeWorkload</a>
281, <a class="el" href="classarmnn_1_1_ref_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSliceWorkload</a>
282, <a class="el" href="classarmnn_1_1_ref_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSoftmaxWorkload</a>
283, <a class="el" href="classarmnn_1_1_ref_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSpaceToBatchNdWorkload</a>
284, <a class="el" href="classarmnn_1_1_ref_space_to_depth_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSpaceToDepthWorkload</a>
285, <a class="el" href="classarmnn_1_1_ref_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSplitterWorkload</a>
286, <a class="el" href="classarmnn_1_1_ref_stack_workload.html#ae071e8822437c78baea75c3aef3a263a">RefStackWorkload</a>
287, <a class="el" href="classarmnn_1_1_ref_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">RefStridedSliceWorkload</a>
288, <a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefTransposeConvolution2dWorkload</a>
289, <a class="el" href="classarmnn_1_1_sample_dynamic_addition_workload.html#ae071e8822437c78baea75c3aef3a263a">SampleDynamicAdditionWorkload</a>
290, <a class="el" href="classarmnn_1_1_sync_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">SyncMemGenericWorkload</a>
291</li>
292<li>ExecuteWorkloads()
293: <a class="el" href="classarmnn_1_1_execution_frame.html#a53bc9f544fe292cbbc2d258595bc3af7">ExecutionFrame</a>
294, <a class="el" href="classarmnn_1_1_i_execution_frame.html#a62a4e8e95f13a5b8fd62008423160362">IExecutionFrame</a>
295</li>
296<li>ExecutionFrame()
297: <a class="el" href="classarmnn_1_1_execution_frame.html#ad93148c735945f614be3a5e57c3c1dad">ExecutionFrame</a>
298</li>
299<li>ExportNetwork()
300: <a class="el" href="classarmnn_1_1_i_network_quantizer.html#a2c24535b51018853e67bad277f4cbbeb">INetworkQuantizer</a>
301, <a class="el" href="classarmnn_1_1_network_quantizer.html#a8768a9dd173e985bfc0c72338662d631">NetworkQuantizer</a>
302</li>
303<li>ExternalProfilingOptions()
304: <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options_1_1_external_profiling_options.html#ad290ff73f5e32ea7e4e549d743815ff8">IRuntime::CreationOptions::ExternalProfilingOptions</a>
305, <a class="el" href="classarmnn_1_1profiling_1_1_i_profiling_connection_factory.html#a1e3ab71aae7621abd6c1a16cc71b68e0">IProfilingConnectionFactory</a>
306, <a class="el" href="classarmnn_1_1profiling_1_1_profiling_service.html#a1e3ab71aae7621abd6c1a16cc71b68e0">ProfilingService</a>
307</li>
308</ul>
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314 <li class="footer">Generated on Fri Mar 13 2020 16:07:06 for ArmNN by
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