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<!-- Copyright (c) 2020 ARM Limited. -->
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<div class="contents">
<div class="textblock">Here is a list of all class members with links to the classes they belong to:</div>
<h3><a id="index_n"></a>- n -</h3><ul>
<li>name()
: <a class="el" href="structarmnn_1_1_f_l_a_t_b_u_f_f_e_r_s___f_i_n_a_l___c_l_a_s_s.xhtml#ae480e553e8e67cc07388093b9ae0e7ae">FLATBUFFERS_FINAL_CLASS</a>
</li>
<li>NAME_GUID
: <a class="el" href="classarmnn_1_1profiling_1_1_labels_and_event_classes.xhtml#af22d8b04133c4b68f4320d6c98dc9502">LabelsAndEventClasses</a>
</li>
<li>NAME_LABEL
: <a class="el" href="classarmnn_1_1profiling_1_1_labels_and_event_classes.xhtml#a62c5a90dbe514aaaf8a39ef435eeb3a8">LabelsAndEventClasses</a>
</li>
<li>NameEntity()
: <a class="el" href="classarmnn_1_1profiling_1_1_timeline_utility_methods.xhtml#aa4dd5c1a285f1438e9be275c635fbefa">TimelineUtilityMethods</a>
</li>
<li>Nan()
: <a class="el" href="classarmnn_1_1_b_float16.xhtml#ae80b11dd8875fbf6e76cb054764ca6fb">BFloat16</a>
</li>
<li>NCHW
: <a class="el" href="class_image_preprocessor.xhtml#a8b182988d497b07d1e06a1707b67897fa54d2c44e9fb4c89a3abd5088e04fdc48">ImagePreprocessor< TDataType ></a>
</li>
<li>NeonAbsWorkload()
: <a class="el" href="classarmnn_1_1_neon_abs_workload.xhtml#a96f0d11c757b397d025bb98ab950946e">NeonAbsWorkload</a>
</li>
<li>NeonActivationWorkload()
: <a class="el" href="classarmnn_1_1_neon_activation_workload.xhtml#a375b7b712d4d2aaa6a5d9edfe8cafb51">NeonActivationWorkload</a>
</li>
<li>NeonAdditionWorkload()
: <a class="el" href="classarmnn_1_1_neon_addition_workload.xhtml#ad77ac4545d497dd50a88f7857966993b">NeonAdditionWorkload</a>
</li>
<li>NeonArgMinMaxWorkload()
: <a class="el" href="classarmnn_1_1_neon_arg_min_max_workload.xhtml#ae0b677bd8fd4afded95b50b9b28d187c">NeonArgMinMaxWorkload</a>
</li>
<li>NeonBackend()
: <a class="el" href="classarmnn_1_1_neon_backend.xhtml#a1d64639ac88622afa0d86f7943f39d99">NeonBackend</a>
</li>
<li>NeonBackendModelContext()
: <a class="el" href="classarmnn_1_1_neon_backend_model_context.xhtml#ad294d1b0a3cacd966314a512d96f46fb">NeonBackendModelContext</a>
</li>
<li>NeonBatchNormalizationWorkload()
: <a class="el" href="classarmnn_1_1_neon_batch_normalization_workload.xhtml#a8044a4d50d30c30e405ab785946bef12">NeonBatchNormalizationWorkload</a>
</li>
<li>NeonBatchToSpaceNdWorkload()
: <a class="el" href="classarmnn_1_1_neon_batch_to_space_nd_workload.xhtml#a1011c98cd37ecc95fa04bd9005a6548c">NeonBatchToSpaceNdWorkload</a>
</li>
<li>NeonComparisonWorkload()
: <a class="el" href="classarmnn_1_1_neon_comparison_workload.xhtml#adcae1537853ec29e0b8b1e231cf1c765">NeonComparisonWorkload</a>
</li>
<li>NeonConcatWorkload()
: <a class="el" href="classarmnn_1_1_neon_concat_workload.xhtml#a9e2f12901f4165674c424597ea597ec8">NeonConcatWorkload</a>
</li>
<li>NeonConstantWorkload()
: <a class="el" href="classarmnn_1_1_neon_constant_workload.xhtml#a104b2d6e3d37d807cd758d2111922ac2">NeonConstantWorkload</a>
</li>
<li>NeonConvertBf16ToFp32Workload()
: <a class="el" href="classarmnn_1_1_neon_convert_bf16_to_fp32_workload.xhtml#a3cd589cb8b149a6f13087130d75e640e">NeonConvertBf16ToFp32Workload</a>
</li>
<li>NeonConvertFp16ToFp32Workload()
: <a class="el" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#a9f374c3ca4d79ded86921bf82ead0da5">NeonConvertFp16ToFp32Workload</a>
</li>
<li>NeonConvertFp32ToBf16Workload()
: <a class="el" href="classarmnn_1_1_neon_convert_fp32_to_bf16_workload.xhtml#affc1bbf11f1625b50a724ab4b1dad053">NeonConvertFp32ToBf16Workload</a>
</li>
<li>NeonConvertFp32ToFp16Workload()
: <a class="el" href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.xhtml#a074e5e0c6d0901ec2a2a2cba69e5df98">NeonConvertFp32ToFp16Workload</a>
</li>
<li>NeonConvolution2dWorkload()
: <a class="el" href="classarmnn_1_1_neon_convolution2d_workload.xhtml#ad8b152d87bee8fc25b37cfe562c29ea8">NeonConvolution2dWorkload</a>
</li>
<li>NeonDepthToSpaceWorkload()
: <a class="el" href="classarmnn_1_1_neon_depth_to_space_workload.xhtml#a883228e0b87a75f3e50bbaacb8d328cf">NeonDepthToSpaceWorkload</a>
</li>
<li>NeonDepthwiseConvolutionWorkload()
: <a class="el" href="classarmnn_1_1_neon_depthwise_convolution_workload.xhtml#aa6173c66256d333ee73a068206c746d6">NeonDepthwiseConvolutionWorkload</a>
</li>
<li>NeonDequantizeWorkload()
: <a class="el" href="classarmnn_1_1_neon_dequantize_workload.xhtml#a5a5bbcb5d952afc490e3ec32f95f36c4">NeonDequantizeWorkload</a>
</li>
<li>NeonDetectionPostProcessWorkload()
: <a class="el" href="classarmnn_1_1_neon_detection_post_process_workload.xhtml#a2561133f68a4f0ab661fc29313386974">NeonDetectionPostProcessWorkload</a>
</li>
<li>NeonDivisionWorkload()
: <a class="el" href="classarmnn_1_1_neon_division_workload.xhtml#aad5ee66ecd7dd43b7208e903022be860">NeonDivisionWorkload</a>
</li>
<li>NeonExpWorkload()
: <a class="el" href="classarmnn_1_1_neon_exp_workload.xhtml#ac20961b446a9f626d556eb03ed564c35">NeonExpWorkload</a>
</li>
<li>NeonFillWorkload()
: <a class="el" href="classarmnn_1_1_neon_fill_workload.xhtml#ae2e092f913815f30684f46872118719e">NeonFillWorkload</a>
</li>
<li>NeonFloorFloatWorkload()
: <a class="el" href="classarmnn_1_1_neon_floor_float_workload.xhtml#a4c3deee68fd34bace44cc58e953d9ab1">NeonFloorFloatWorkload</a>
</li>
<li>NeonFullyConnectedWorkload()
: <a class="el" href="classarmnn_1_1_neon_fully_connected_workload.xhtml#addd5ca5793cf188ba62c9f73f378e014">NeonFullyConnectedWorkload</a>
</li>
<li>NeonGatherWorkload()
: <a class="el" href="classarmnn_1_1_neon_gather_workload.xhtml#a0b0128cc0929c7dd8f89a09e040bb576">NeonGatherWorkload</a>
</li>
<li>NeonInstanceNormalizationWorkload()
: <a class="el" href="classarmnn_1_1_neon_instance_normalization_workload.xhtml#a4c5c0092a4eb57743a29fc7f1a403b24">NeonInstanceNormalizationWorkload</a>
</li>
<li>NeonInterceptorScheduler()
: <a class="el" href="classarmnn_1_1_neon_interceptor_scheduler.xhtml#a54394a4d67b6c4e7878cdf36ace0b9a8">NeonInterceptorScheduler</a>
</li>
<li>NeonL2NormalizationFloatWorkload()
: <a class="el" href="classarmnn_1_1_neon_l2_normalization_float_workload.xhtml#a91ba7d823503e4b193e2dd2e580fc3a4">NeonL2NormalizationFloatWorkload</a>
</li>
<li>NeonLayerSupport()
: <a class="el" href="classarmnn_1_1_neon_layer_support.xhtml#a45ecbb863cc8ef62d09bd7749089e0f8">NeonLayerSupport</a>
</li>
<li>NeonLogicalAndWorkload()
: <a class="el" href="classarmnn_1_1_neon_logical_and_workload.xhtml#aa53344371ecd3c9b58cacfb0565bba8e">NeonLogicalAndWorkload</a>
</li>
<li>NeonLogicalNotWorkload()
: <a class="el" href="classarmnn_1_1_neon_logical_not_workload.xhtml#ab1044573be8ca82e421824437e05d084">NeonLogicalNotWorkload</a>
</li>
<li>NeonLogicalOrWorkload()
: <a class="el" href="classarmnn_1_1_neon_logical_or_workload.xhtml#a4748e5f01190d3898b4af0b401cc3525">NeonLogicalOrWorkload</a>
</li>
<li>NeonLogSoftmaxWorkload()
: <a class="el" href="classarmnn_1_1_neon_log_softmax_workload.xhtml#aef84e71395cb46a70f6c87dbbd952c94">NeonLogSoftmaxWorkload</a>
</li>
<li>NeonLstmFloatWorkload()
: <a class="el" href="classarmnn_1_1_neon_lstm_float_workload.xhtml#a471d876fac9cbcc3347eec34e558fe46">NeonLstmFloatWorkload</a>
</li>
<li>NeonMaximumWorkload()
: <a class="el" href="classarmnn_1_1_neon_maximum_workload.xhtml#ad66b23bbca641e44b85a040a6e3f228c">NeonMaximumWorkload</a>
</li>
<li>NeonMeanWorkload()
: <a class="el" href="classarmnn_1_1_neon_mean_workload.xhtml#a2e92aaf909295489c0faedb9916339d4">NeonMeanWorkload</a>
</li>
<li>NeonMemoryManager()
: <a class="el" href="classarmnn_1_1_neon_memory_manager.xhtml#a01c63dc2570896ad660376c2c5efaf0c">NeonMemoryManager</a>
</li>
<li>NeonMinimumWorkload()
: <a class="el" href="classarmnn_1_1_neon_minimum_workload.xhtml#a29164dbeb4546e3a5f95978d0ad40a52">NeonMinimumWorkload</a>
</li>
<li>NeonMultiplicationWorkload()
: <a class="el" href="classarmnn_1_1_neon_multiplication_workload.xhtml#a2998b0d7211a2e61730c2d7af29268f4">NeonMultiplicationWorkload</a>
</li>
<li>NeonNegWorkload()
: <a class="el" href="classarmnn_1_1_neon_neg_workload.xhtml#aa3e05eb372337f617871ea523d0dd79e">NeonNegWorkload</a>
</li>
<li>NeonNormalizationFloatWorkload()
: <a class="el" href="classarmnn_1_1_neon_normalization_float_workload.xhtml#a08d141881dde41efd6118750e576e632">NeonNormalizationFloatWorkload</a>
</li>
<li>NeonPadWorkload()
: <a class="el" href="classarmnn_1_1_neon_pad_workload.xhtml#a9cb608b77c2d3061f8a8fa88b0b5ecba">NeonPadWorkload</a>
</li>
<li>NeonPermuteWorkload()
: <a class="el" href="classarmnn_1_1_neon_permute_workload.xhtml#a318805b46d67e7a97073d17b167ef15f">NeonPermuteWorkload</a>
</li>
<li>NeonPooling2dWorkload()
: <a class="el" href="classarmnn_1_1_neon_pooling2d_workload.xhtml#affb713ca83cf6b44ff5bc753bf2e1852">NeonPooling2dWorkload</a>
</li>
<li>NeonPreluWorkload()
: <a class="el" href="classarmnn_1_1_neon_prelu_workload.xhtml#aed40c2596c3d58ed292d029c8fb6acd3">NeonPreluWorkload</a>
</li>
<li>NeonQLstmWorkload()
: <a class="el" href="classarmnn_1_1_neon_q_lstm_workload.xhtml#a83c87b3dd014c18b6609c6fecf6c8368">NeonQLstmWorkload</a>
</li>
<li>NeonQuantizedLstmWorkload()
: <a class="el" href="classarmnn_1_1_neon_quantized_lstm_workload.xhtml#a22b3f0c6bd6ac4987c47b90521b82e57">NeonQuantizedLstmWorkload</a>
</li>
<li>NeonQuantizeWorkload()
: <a class="el" href="classarmnn_1_1_neon_quantize_workload.xhtml#a0d5010cfae3f419b7ba614295b8a7272">NeonQuantizeWorkload</a>
</li>
<li>NeonReduceWorkload()
: <a class="el" href="classarmnn_1_1_neon_reduce_workload.xhtml#a6cfb00d93a07b0eb6eb81010a59a93b5">NeonReduceWorkload</a>
</li>
<li>NeonReshapeWorkload()
: <a class="el" href="classarmnn_1_1_neon_reshape_workload.xhtml#a963f265760d77caec31cf13cdf63831e">NeonReshapeWorkload</a>
</li>
<li>NeonResizeWorkload()
: <a class="el" href="classarmnn_1_1_neon_resize_workload.xhtml#acb5c45db124d15363bc59527a3758352">NeonResizeWorkload</a>
</li>
<li>NeonRsqrtWorkload()
: <a class="el" href="classarmnn_1_1_neon_rsqrt_workload.xhtml#aa552d35605ed501009ca5f037d22990f">NeonRsqrtWorkload</a>
</li>
<li>NeonSliceWorkload()
: <a class="el" href="classarmnn_1_1_neon_slice_workload.xhtml#ace345c45bb2faea917c783d71c38c15c">NeonSliceWorkload</a>
</li>
<li>NeonSoftmaxWorkload()
: <a class="el" href="classarmnn_1_1_neon_softmax_workload.xhtml#a133aef7f812a938890e67b09b61ae5d3">NeonSoftmaxWorkload</a>
</li>
<li>NeonSpaceToBatchNdWorkload()
: <a class="el" href="classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml#ad54e9fc1d5791024594d2c81975c9148">NeonSpaceToBatchNdWorkload</a>
</li>
<li>NeonSpaceToDepthWorkload()
: <a class="el" href="classarmnn_1_1_neon_space_to_depth_workload.xhtml#a7f6bbf57af4ec5a4b34e68d4e483e7d5">NeonSpaceToDepthWorkload</a>
</li>
<li>NeonSplitterWorkload()
: <a class="el" href="classarmnn_1_1_neon_splitter_workload.xhtml#a4ef44659ac28386257a1540de3276d2c">NeonSplitterWorkload</a>
</li>
<li>NeonStackWorkload()
: <a class="el" href="classarmnn_1_1_neon_stack_workload.xhtml#aeb65cb0556b7a21b06f8bc9f025be5c5">NeonStackWorkload</a>
</li>
<li>NeonStridedSliceWorkload()
: <a class="el" href="classarmnn_1_1_neon_strided_slice_workload.xhtml#aa29e48678619feee23a25e04168fa3b8">NeonStridedSliceWorkload</a>
</li>
<li>NeonSubTensorHandle()
: <a class="el" href="classarmnn_1_1_neon_sub_tensor_handle.xhtml#a959a81401ab9e41d16bbc4a62a019aa2">NeonSubTensorHandle</a>
</li>
<li>NeonSubtractionWorkload()
: <a class="el" href="classarmnn_1_1_neon_subtraction_workload.xhtml#abb9c1c1aebc7e9c80216e77b275d82a5">NeonSubtractionWorkload</a>
</li>
<li>NeonTensorHandle()
: <a class="el" href="classarmnn_1_1_neon_tensor_handle.xhtml#a8be757c370ed96fdb90168e2ff0216d6">NeonTensorHandle</a>
</li>
<li>NeonTensorHandleFactory()
: <a class="el" href="classarmnn_1_1_neon_tensor_handle_factory.xhtml#a07a3328cd4d6d3de55f19db56386c87a">NeonTensorHandleFactory</a>
</li>
<li>NeonTimer()
: <a class="el" href="classarmnn_1_1_neon_timer.xhtml#a5c6f81ce68d345e58fc8619b70d417a1">NeonTimer</a>
</li>
<li>NeonTransposeConvolution2dWorkload()
: <a class="el" href="classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml#a58184834e21feb8a03afcb9e53e3b503">NeonTransposeConvolution2dWorkload</a>
</li>
<li>NeonTransposeWorkload()
: <a class="el" href="classarmnn_1_1_neon_transpose_workload.xhtml#a009fddafe8e60e07e55785776b9528b9">NeonTransposeWorkload</a>
</li>
<li>NeonWorkloadFactory()
: <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a19a681524fa55169540fcccb9dcefaa6">NeonWorkloadFactory</a>
</li>
<li>NETWORK
: <a class="el" href="classarmnn_1_1profiling_1_1_labels_and_event_classes.xhtml#aedf6dd387391b88ee403e922ec73af0e">LabelsAndEventClasses</a>
</li>
<li>NETWORK_GUID
: <a class="el" href="classarmnn_1_1profiling_1_1_labels_and_event_classes.xhtml#a2803368c101910905392bc7edd4c9cc5">LabelsAndEventClasses</a>
</li>
<li>NetworkImpl()
: <a class="el" href="classarmnn_1_1_network_impl.xhtml#a55e83c091dbe02c2ca6d3b33a902ae02">NetworkImpl</a>
</li>
<li>NetworkQuantizer
: <a class="el" href="classarmnn_1_1_i_network.xhtml#a97fd05aaac687a2147e870ab501ac086">INetwork</a>
, <a class="el" href="classarmnn_1_1_network_quantizer.xhtml#ad1d6bb17a39fec4850c40eadf5f537a4">NetworkQuantizer</a>
</li>
<li>newAxisMask()
: <a class="el" href="structarmnn_serializer_1_1_f_l_a_t_b_u_f_f_e_r_s___f_i_n_a_l___c_l_a_s_s.xhtml#ab7aade49f23a497f7ac0c6f6127a8be6">FLATBUFFERS_FINAL_CLASS</a>
</li>
<li>NextGuid()
: <a class="el" href="classarmnn_1_1profiling_1_1_i_profiling_guid_generator.xhtml#a46e22ba5f91b48d2b5165648787b9ace">IProfilingGuidGenerator</a>
, <a class="el" href="classarmnn_1_1profiling_1_1_mock_profiling_service.xhtml#aeea32305626f921e1e9f99434dbf9049">MockProfilingService</a>
, <a class="el" href="classarmnn_1_1profiling_1_1_profiling_guid_generator.xhtml#aeea32305626f921e1e9f99434dbf9049">ProfilingGuidGenerator</a>
, <a class="el" href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#aeea32305626f921e1e9f99434dbf9049">ProfilingService</a>
</li>
<li>NHWC
: <a class="el" href="class_image_preprocessor.xhtml#a8b182988d497b07d1e06a1707b67897fa7442702e1d93df81504eb5e5d536c2fc">ImagePreprocessor< TDataType ></a>
</li>
<li>nmsIouThreshold()
: <a class="el" href="structarmnn_serializer_1_1_f_l_a_t_b_u_f_f_e_r_s___f_i_n_a_l___c_l_a_s_s.xhtml#a8661659c0591b1d35f5385b4aec490c6">FLATBUFFERS_FINAL_CLASS</a>
</li>
<li>nmsScoreThreshold()
: <a class="el" href="structarmnn_serializer_1_1_f_l_a_t_b_u_f_f_e_r_s___f_i_n_a_l___c_l_a_s_s.xhtml#aa7f0e7a31a90a3c137e9a91885a0e438">FLATBUFFERS_FINAL_CLASS</a>
</li>
<li>NodeContent()
: <a class="el" href="classarmnn_1_1_node_content.xhtml#ae21e7088e298197d3b906693af5d42c8">NodeContent</a>
</li>
<li>NonRefT
: <a class="el" href="classarmnn_1_1_optional_reference_switch_3_01true_00_01_t_01_4.xhtml#aa35457bd4f798de06bf5742117fbaf16">OptionalReferenceSwitch< true, T ></a>
</li>
<li>NormalizationDescriptor()
: <a class="el" href="structarmnn_1_1_normalization_descriptor.xhtml#a8adc7995fc87683fb9a99b3a161904c6">NormalizationDescriptor</a>
</li>
<li>NormalizationDescriptorBuilder()
: <a class="el" href="structarmnn_serializer_1_1_normalization_descriptor_builder.xhtml#adcf668b7ee82038ab533528a047aacad">NormalizationDescriptorBuilder</a>
</li>
<li>NormalizationLayer()
: <a class="el" href="classarmnn_1_1_normalization_layer.xhtml#a5fb322b3b9c771b4038601c1c51369b6">NormalizationLayer</a>
</li>
<li>NormalizationLayerBuilder()
: <a class="el" href="structarmnn_serializer_1_1_normalization_layer_builder.xhtml#a014811e34a934336bb24ed4197a7caf7">NormalizationLayerBuilder</a>
</li>
<li>normChannelType()
: <a class="el" href="structarmnn_serializer_1_1_f_l_a_t_b_u_f_f_e_r_s___f_i_n_a_l___c_l_a_s_s.xhtml#a32ceb2e5d04cb1ab0430189743e32d70">FLATBUFFERS_FINAL_CLASS</a>
</li>
<li>normMethodType()
: <a class="el" href="structarmnn_serializer_1_1_f_l_a_t_b_u_f_f_e_r_s___f_i_n_a_l___c_l_a_s_s.xhtml#a1480cd9cafb7fbf6dab5d6c665e92802">FLATBUFFERS_FINAL_CLASS</a>
</li>
<li>normSize()
: <a class="el" href="structarmnn_serializer_1_1_f_l_a_t_b_u_f_f_e_r_s___f_i_n_a_l___c_l_a_s_s.xhtml#aba06e80b8118388df4e7a42dbc42b912">FLATBUFFERS_FINAL_CLASS</a>
</li>
<li>NotifyBackendsForTimelineReporting()
: <a class="el" href="classarmnn_1_1profiling_1_1_i_notify_backends.xhtml#ab278fa8a7fd571fde569c9f569e4d82c">INotifyBackends</a>
, <a class="el" href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#a0213410b7af3116277901a1e87bb96ee">ProfilingService</a>
</li>
<li>NotifyProfilingServiceActive()
: <a class="el" href="classarmnn_1_1profiling_1_1_i_profiling_service_status.xhtml#a2deb044819ea89274173a4fad48d7b0d">IProfilingServiceStatus</a>
, <a class="el" href="classarmnn_1_1profiling_1_1_mock_profiling_service_status.xhtml#aa969a672380904e127264c3a8b27504b">MockProfilingServiceStatus</a>
, <a class="el" href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#aa969a672380904e127264c3a8b27504b">ProfilingService</a>
</li>
<li>num_boxes
: <a class="el" href="structyolov3_1_1_n_m_s_config.xhtml#a69e5cb89b98e22ca17e8a7d3d8aef10a">NMSConfig</a>
</li>
<li>num_classes
: <a class="el" href="structyolov3_1_1_n_m_s_config.xhtml#ae82414d4f3be497637c3456351a19c03">NMSConfig</a>
</li>
<li>num_threads()
: <a class="el" href="classarmnn_1_1_neon_interceptor_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">NeonInterceptorScheduler</a>
</li>
<li>NumBits()
: <a class="el" href="structarmnn_1_1_i_quantization_scheme.xhtml#a7ebe7ca1c6100440fcc130217f43561b">IQuantizationScheme</a>
, <a class="el" href="structarmnn_1_1_q_asymm_s8_quantization_scheme.xhtml#a1046eb36ff708a1b84f9a6bf0103fbc7">QAsymmS8QuantizationScheme</a>
, <a class="el" href="structarmnn_1_1_q_asymm_u8_quantization_scheme.xhtml#a1046eb36ff708a1b84f9a6bf0103fbc7">QAsymmU8QuantizationScheme</a>
, <a class="el" href="structarmnn_1_1_q_symm16_quantization_scheme.xhtml#a1046eb36ff708a1b84f9a6bf0103fbc7">QSymm16QuantizationScheme</a>
, <a class="el" href="structarmnn_1_1_q_symm_s8_quantization_scheme.xhtml#a1046eb36ff708a1b84f9a6bf0103fbc7">QSymmS8QuantizationScheme</a>
</li>
<li>NumChildren()
: <a class="el" href="structarmnn_1_1_json_child_object.xhtml#a1f7ec083be66d58a3e02e12956bf005e">JsonChildObject</a>
</li>
<li>numClasses()
: <a class="el" href="structarmnn_serializer_1_1_f_l_a_t_b_u_f_f_e_r_s___f_i_n_a_l___c_l_a_s_s.xhtml#a2dcb21a565827a7d7ac2763fa79fefe1">FLATBUFFERS_FINAL_CLASS</a>
</li>
<li>numDimensions()
: <a class="el" href="structarmnn_serializer_1_1_f_l_a_t_b_u_f_f_e_r_s___f_i_n_a_l___c_l_a_s_s.xhtml#a0300d2fdb9a1d63475ef419573816fe3">FLATBUFFERS_FINAL_CLASS</a>
</li>
<li>numInputs()
: <a class="el" href="structarmnn_serializer_1_1_f_l_a_t_b_u_f_f_e_r_s___f_i_n_a_l___c_l_a_s_s.xhtml#a0845eaff499be0c3ee9a0b3c4f929dc3">FLATBUFFERS_FINAL_CLASS</a>
</li>
<li>numOutputs()
: <a class="el" href="structarmnn_serializer_1_1_f_l_a_t_b_u_f_f_e_r_s___f_i_n_a_l___c_l_a_s_s.xhtml#a176efb2202fc54e75130b8483ada58da">FLATBUFFERS_FINAL_CLASS</a>
</li>
<li>numViews()
: <a class="el" href="structarmnn_serializer_1_1_f_l_a_t_b_u_f_f_e_r_s___f_i_n_a_l___c_l_a_s_s.xhtml#a7ccfdd831354425429b9e995a614bfb6">FLATBUFFERS_FINAL_CLASS</a>
</li>
</ul>
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<li class="footer">Generated on Fri Mar 19 2021 15:26:16 for ArmNN by
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