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review.mlplatform.org / ml / armnn / 36eed46563a2a254e674865eb8ede62a1558c997 / . / Documentation / functions_func_n.xhtml
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90<div id="MSearchResultsWindow">
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93</iframe>
94</div>
95
96<div class="contents">
97&#160;
98
99<h3><a id="index_n"></a>- n -</h3><ul>
100<li>NameEntity()
101: <a class="el" href="classarmnn_1_1profiling_1_1_timeline_utility_methods.xhtml#aa4dd5c1a285f1438e9be275c635fbefa">TimelineUtilityMethods</a>
102</li>
103<li>Nan()
104: <a class="el" href="classarmnn_1_1_b_float16.xhtml#ae80b11dd8875fbf6e76cb054764ca6fb">BFloat16</a>
105</li>
106<li>NeonAbsWorkload()
107: <a class="el" href="classarmnn_1_1_neon_abs_workload.xhtml#a96f0d11c757b397d025bb98ab950946e">NeonAbsWorkload</a>
108</li>
109<li>NeonActivationWorkload()
110: <a class="el" href="classarmnn_1_1_neon_activation_workload.xhtml#a375b7b712d4d2aaa6a5d9edfe8cafb51">NeonActivationWorkload</a>
111</li>
112<li>NeonAdditionWorkload()
113: <a class="el" href="classarmnn_1_1_neon_addition_workload.xhtml#ad77ac4545d497dd50a88f7857966993b">NeonAdditionWorkload</a>
114</li>
115<li>NeonArgMinMaxWorkload()
116: <a class="el" href="classarmnn_1_1_neon_arg_min_max_workload.xhtml#ae0b677bd8fd4afded95b50b9b28d187c">NeonArgMinMaxWorkload</a>
117</li>
118<li>NeonBackend()
119: <a class="el" href="classarmnn_1_1_neon_backend.xhtml#a1d64639ac88622afa0d86f7943f39d99">NeonBackend</a>
120</li>
121<li>NeonBatchNormalizationWorkload()
122: <a class="el" href="classarmnn_1_1_neon_batch_normalization_workload.xhtml#a8044a4d50d30c30e405ab785946bef12">NeonBatchNormalizationWorkload</a>
123</li>
124<li>NeonBatchToSpaceNdWorkload()
125: <a class="el" href="classarmnn_1_1_neon_batch_to_space_nd_workload.xhtml#a1011c98cd37ecc95fa04bd9005a6548c">NeonBatchToSpaceNdWorkload</a>
126</li>
127<li>NeonConcatWorkload()
128: <a class="el" href="classarmnn_1_1_neon_concat_workload.xhtml#a9e2f12901f4165674c424597ea597ec8">NeonConcatWorkload</a>
129</li>
130<li>NeonConstantWorkload()
131: <a class="el" href="classarmnn_1_1_neon_constant_workload.xhtml#a104b2d6e3d37d807cd758d2111922ac2">NeonConstantWorkload</a>
132</li>
133<li>NeonConvertFp16ToFp32Workload()
134: <a class="el" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#a9f374c3ca4d79ded86921bf82ead0da5">NeonConvertFp16ToFp32Workload</a>
135</li>
136<li>NeonConvertFp32ToFp16Workload()
137: <a class="el" href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.xhtml#a074e5e0c6d0901ec2a2a2cba69e5df98">NeonConvertFp32ToFp16Workload</a>
138</li>
139<li>NeonConvolution2dWorkload()
140: <a class="el" href="classarmnn_1_1_neon_convolution2d_workload.xhtml#a47763294588d6290ada7eda9e9047dbb">NeonConvolution2dWorkload</a>
141</li>
142<li>NeonDepthToSpaceWorkload()
143: <a class="el" href="classarmnn_1_1_neon_depth_to_space_workload.xhtml#a883228e0b87a75f3e50bbaacb8d328cf">NeonDepthToSpaceWorkload</a>
144</li>
145<li>NeonDepthwiseConvolutionWorkload()
146: <a class="el" href="classarmnn_1_1_neon_depthwise_convolution_workload.xhtml#aa6173c66256d333ee73a068206c746d6">NeonDepthwiseConvolutionWorkload</a>
147</li>
148<li>NeonDequantizeWorkload()
149: <a class="el" href="classarmnn_1_1_neon_dequantize_workload.xhtml#a5a5bbcb5d952afc490e3ec32f95f36c4">NeonDequantizeWorkload</a>
150</li>
151<li>NeonDetectionPostProcessWorkload()
152: <a class="el" href="classarmnn_1_1_neon_detection_post_process_workload.xhtml#a2561133f68a4f0ab661fc29313386974">NeonDetectionPostProcessWorkload</a>
153</li>
154<li>NeonDivisionWorkload()
155: <a class="el" href="classarmnn_1_1_neon_division_workload.xhtml#aad5ee66ecd7dd43b7208e903022be860">NeonDivisionWorkload</a>
156</li>
157<li>NeonFloorFloatWorkload()
158: <a class="el" href="classarmnn_1_1_neon_floor_float_workload.xhtml#a4c3deee68fd34bace44cc58e953d9ab1">NeonFloorFloatWorkload</a>
159</li>
160<li>NeonFullyConnectedWorkload()
161: <a class="el" href="classarmnn_1_1_neon_fully_connected_workload.xhtml#addd5ca5793cf188ba62c9f73f378e014">NeonFullyConnectedWorkload</a>
162</li>
163<li>NeonGreaterWorkload()
164: <a class="el" href="classarmnn_1_1_neon_greater_workload.xhtml#a2721463f2c993f15abfa4e55e70f612d">NeonGreaterWorkload&lt; T &gt;</a>
165</li>
166<li>NeonInstanceNormalizationWorkload()
167: <a class="el" href="classarmnn_1_1_neon_instance_normalization_workload.xhtml#a4c5c0092a4eb57743a29fc7f1a403b24">NeonInstanceNormalizationWorkload</a>
168</li>
169<li>NeonInterceptorScheduler()
170: <a class="el" href="classarmnn_1_1_neon_interceptor_scheduler.xhtml#a54394a4d67b6c4e7878cdf36ace0b9a8">NeonInterceptorScheduler</a>
171</li>
172<li>NeonL2NormalizationFloatWorkload()
173: <a class="el" href="classarmnn_1_1_neon_l2_normalization_float_workload.xhtml#a91ba7d823503e4b193e2dd2e580fc3a4">NeonL2NormalizationFloatWorkload</a>
174</li>
175<li>NeonLstmFloatWorkload()
176: <a class="el" href="classarmnn_1_1_neon_lstm_float_workload.xhtml#a471d876fac9cbcc3347eec34e558fe46">NeonLstmFloatWorkload</a>
177</li>
178<li>NeonMaximumWorkload()
179: <a class="el" href="classarmnn_1_1_neon_maximum_workload.xhtml#ad66b23bbca641e44b85a040a6e3f228c">NeonMaximumWorkload</a>
180</li>
181<li>NeonMeanWorkload()
182: <a class="el" href="classarmnn_1_1_neon_mean_workload.xhtml#a2e92aaf909295489c0faedb9916339d4">NeonMeanWorkload</a>
183</li>
184<li>NeonMemoryManager()
185: <a class="el" href="classarmnn_1_1_neon_memory_manager.xhtml#a01c63dc2570896ad660376c2c5efaf0c">NeonMemoryManager</a>
186</li>
187<li>NeonMinimumWorkload()
188: <a class="el" href="classarmnn_1_1_neon_minimum_workload.xhtml#a29164dbeb4546e3a5f95978d0ad40a52">NeonMinimumWorkload</a>
189</li>
190<li>NeonMultiplicationWorkload()
191: <a class="el" href="classarmnn_1_1_neon_multiplication_workload.xhtml#a2998b0d7211a2e61730c2d7af29268f4">NeonMultiplicationWorkload</a>
192</li>
193<li>NeonNormalizationFloatWorkload()
194: <a class="el" href="classarmnn_1_1_neon_normalization_float_workload.xhtml#a08d141881dde41efd6118750e576e632">NeonNormalizationFloatWorkload</a>
195</li>
196<li>NeonPadWorkload()
197: <a class="el" href="classarmnn_1_1_neon_pad_workload.xhtml#a9cb608b77c2d3061f8a8fa88b0b5ecba">NeonPadWorkload</a>
198</li>
199<li>NeonPermuteWorkload()
200: <a class="el" href="classarmnn_1_1_neon_permute_workload.xhtml#a318805b46d67e7a97073d17b167ef15f">NeonPermuteWorkload</a>
201</li>
202<li>NeonPooling2dWorkload()
203: <a class="el" href="classarmnn_1_1_neon_pooling2d_workload.xhtml#affb713ca83cf6b44ff5bc753bf2e1852">NeonPooling2dWorkload</a>
204</li>
205<li>NeonPreluWorkload()
206: <a class="el" href="classarmnn_1_1_neon_prelu_workload.xhtml#aed40c2596c3d58ed292d029c8fb6acd3">NeonPreluWorkload</a>
207</li>
208<li>NeonQuantizedLstmWorkload()
209: <a class="el" href="classarmnn_1_1_neon_quantized_lstm_workload.xhtml#a22b3f0c6bd6ac4987c47b90521b82e57">NeonQuantizedLstmWorkload</a>
210</li>
211<li>NeonQuantizeWorkload()
212: <a class="el" href="classarmnn_1_1_neon_quantize_workload.xhtml#a0d5010cfae3f419b7ba614295b8a7272">NeonQuantizeWorkload</a>
213</li>
214<li>NeonReshapeWorkload()
215: <a class="el" href="classarmnn_1_1_neon_reshape_workload.xhtml#a963f265760d77caec31cf13cdf63831e">NeonReshapeWorkload</a>
216</li>
217<li>NeonResizeWorkload()
218: <a class="el" href="classarmnn_1_1_neon_resize_workload.xhtml#acb5c45db124d15363bc59527a3758352">NeonResizeWorkload</a>
219</li>
220<li>NeonRsqrtWorkload()
221: <a class="el" href="classarmnn_1_1_neon_rsqrt_workload.xhtml#aa552d35605ed501009ca5f037d22990f">NeonRsqrtWorkload</a>
222</li>
223<li>NeonSliceWorkload()
224: <a class="el" href="classarmnn_1_1_neon_slice_workload.xhtml#ace345c45bb2faea917c783d71c38c15c">NeonSliceWorkload</a>
225</li>
226<li>NeonSoftmaxFloatWorkload()
227: <a class="el" href="classarmnn_1_1_neon_softmax_float_workload.xhtml#a542366957947778e51bf02582eafccf9">NeonSoftmaxFloatWorkload</a>
228</li>
229<li>NeonSoftmaxUint8Workload()
230: <a class="el" href="classarmnn_1_1_neon_softmax_uint8_workload.xhtml#aa2f08d1b24204744f12ad793024c4173">NeonSoftmaxUint8Workload</a>
231</li>
232<li>NeonSpaceToBatchNdWorkload()
233: <a class="el" href="classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml#ad54e9fc1d5791024594d2c81975c9148">NeonSpaceToBatchNdWorkload</a>
234</li>
235<li>NeonSpaceToDepthWorkload()
236: <a class="el" href="classarmnn_1_1_neon_space_to_depth_workload.xhtml#a7f6bbf57af4ec5a4b34e68d4e483e7d5">NeonSpaceToDepthWorkload</a>
237</li>
238<li>NeonSplitterWorkload()
239: <a class="el" href="classarmnn_1_1_neon_splitter_workload.xhtml#a4ef44659ac28386257a1540de3276d2c">NeonSplitterWorkload</a>
240</li>
241<li>NeonStackWorkload()
242: <a class="el" href="classarmnn_1_1_neon_stack_workload.xhtml#aeb65cb0556b7a21b06f8bc9f025be5c5">NeonStackWorkload</a>
243</li>
244<li>NeonStridedSliceWorkload()
245: <a class="el" href="classarmnn_1_1_neon_strided_slice_workload.xhtml#aa29e48678619feee23a25e04168fa3b8">NeonStridedSliceWorkload</a>
246</li>
247<li>NeonSubTensorHandle()
248: <a class="el" href="classarmnn_1_1_neon_sub_tensor_handle.xhtml#a959a81401ab9e41d16bbc4a62a019aa2">NeonSubTensorHandle</a>
249</li>
250<li>NeonSubtractionWorkload()
251: <a class="el" href="classarmnn_1_1_neon_subtraction_workload.xhtml#abb9c1c1aebc7e9c80216e77b275d82a5">NeonSubtractionWorkload</a>
252</li>
253<li>NeonTensorHandle()
254: <a class="el" href="classarmnn_1_1_neon_tensor_handle.xhtml#a8be757c370ed96fdb90168e2ff0216d6">NeonTensorHandle</a>
255</li>
256<li>NeonTensorHandleFactory()
257: <a class="el" href="classarmnn_1_1_neon_tensor_handle_factory.xhtml#a07a3328cd4d6d3de55f19db56386c87a">NeonTensorHandleFactory</a>
258</li>
259<li>NeonTimer()
260: <a class="el" href="classarmnn_1_1_neon_timer.xhtml#a5c6f81ce68d345e58fc8619b70d417a1">NeonTimer</a>
261</li>
262<li>NeonTransposeConvolution2dWorkload()
263: <a class="el" href="classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml#a58184834e21feb8a03afcb9e53e3b503">NeonTransposeConvolution2dWorkload</a>
264</li>
265<li>NeonTransposeWorkload()
266: <a class="el" href="classarmnn_1_1_neon_transpose_workload.xhtml#a009fddafe8e60e07e55785776b9528b9">NeonTransposeWorkload</a>
267</li>
268<li>NeonWorkloadFactory()
269: <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a19a681524fa55169540fcccb9dcefaa6">NeonWorkloadFactory</a>
270</li>
271<li>Network()
272: <a class="el" href="classarmnn_1_1_network.xhtml#a5f56923e4eac55c8c08d72599b0a0d41">Network</a>
273</li>
274<li>NetworkQuantizer()
275: <a class="el" href="classarmnn_1_1_network_quantizer.xhtml#ad1d6bb17a39fec4850c40eadf5f537a4">NetworkQuantizer</a>
276</li>
277<li>NextGuid()
278: <a class="el" href="classarmnn_1_1profiling_1_1_i_profiling_guid_generator.xhtml#a46e22ba5f91b48d2b5165648787b9ace">IProfilingGuidGenerator</a>
279, <a class="el" href="classarmnn_1_1profiling_1_1_mock_profiling_service.xhtml#aeea32305626f921e1e9f99434dbf9049">MockProfilingService</a>
280, <a class="el" href="classarmnn_1_1profiling_1_1_profiling_guid_generator.xhtml#aeea32305626f921e1e9f99434dbf9049">ProfilingGuidGenerator</a>
281, <a class="el" href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#aeea32305626f921e1e9f99434dbf9049">ProfilingService</a>
282</li>
283<li>NodeContent()
284: <a class="el" href="classarmnn_1_1_node_content.xhtml#ae21e7088e298197d3b906693af5d42c8">NodeContent</a>
285</li>
286<li>NormalizationDescriptor()
287: <a class="el" href="structarmnn_1_1_normalization_descriptor.xhtml#a8adc7995fc87683fb9a99b3a161904c6">NormalizationDescriptor</a>
288</li>
289<li>NormalizationLayer()
290: <a class="el" href="classarmnn_1_1_normalization_layer.xhtml#a5fb322b3b9c771b4038601c1c51369b6">NormalizationLayer</a>
291</li>
292<li>num_threads()
293: <a class="el" href="classarmnn_1_1_neon_interceptor_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">NeonInterceptorScheduler</a>
294</li>
295<li>NumBits()
296: <a class="el" href="structarmnn_1_1_i_quantization_scheme.xhtml#a7ebe7ca1c6100440fcc130217f43561b">IQuantizationScheme</a>
297, <a class="el" href="structarmnn_1_1_q_asymm_s8_quantization_scheme.xhtml#a1046eb36ff708a1b84f9a6bf0103fbc7">QAsymmS8QuantizationScheme</a>
298, <a class="el" href="structarmnn_1_1_q_asymm_u8_quantization_scheme.xhtml#a1046eb36ff708a1b84f9a6bf0103fbc7">QAsymmU8QuantizationScheme</a>
299, <a class="el" href="structarmnn_1_1_q_symm16_quantization_scheme.xhtml#a1046eb36ff708a1b84f9a6bf0103fbc7">QSymm16QuantizationScheme</a>
300, <a class="el" href="structarmnn_1_1_q_symm_s8_quantization_scheme.xhtml#a1046eb36ff708a1b84f9a6bf0103fbc7">QSymmS8QuantizationScheme</a>
301</li>
302<li>NumChildren()
303: <a class="el" href="structarmnn_1_1_json_child_object.xhtml#a1f7ec083be66d58a3e02e12956bf005e">JsonChildObject</a>
304</li>
305</ul>
306</div><!-- contents -->
307</div><!-- doc-content -->
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311 <li class="footer">Generated on Fri Mar 13 2020 16:09:21 for ArmNN by
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313 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
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