Update Doxygen docu for 23.05

Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: I0a992286f14fa68fcc6e5eba31ac39fed003cbbe
author: Nikhil Raj <nikhil.raj@arm.com> 2023-05-19 11:14:28 +0100
committer: Nikhil Raj <nikhil.raj@arm.com> 2023-05-19 11:14:28 +0100
commit: 8efb48a6847c5cd166c561127ae6611150963ce3 (patch)
tree: f4262b7e54d26021a54bbc310f46d16a291463e5 /23.05/functions_func_n.xhtml
parent: 023fe66a59414a0a7b337c7be5c3c341eb5b55d2 (diff)
download: armnn-8efb48a6847c5cd166c561127ae6611150963ce3.tar.gz
1 files changed, 377 insertions, 0 deletions
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+<!-- Copyright (c) 2020 ARM Limited. -->
+<!--                                 -->
+<!-- SPDX-License-Identifier: MIT    -->
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+<!-- HTML header for doxygen 1.8.13-->
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+ <tr style="height: 56px;">
+  <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/>
+  <td style="padding-left: 0.5em;">
+   <div id="projectname">
+   &#160;<span id="projectnumber">23.05</span>
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+        name="MSearchResults" id="MSearchResults">
+</iframe>
+</div>
+
+<div class="contents">
+&#160;
+
+<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>Nan()
+: <a class="el" href="classarmnn_1_1_b_float16.xhtml#ae80b11dd8875fbf6e76cb054764ca6fb">BFloat16</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>NeonBaseWorkload()
+: <a class="el" href="classarmnn_1_1_neon_base_workload.xhtml#a446042983b3fa49c4c57f2262ef3a2f0">NeonBaseWorkload&lt; QueueDescriptor &gt;</a>
+</li>
+<li>NeonBatchMatMulWorkload()
+: <a class="el" href="classarmnn_1_1_neon_batch_mat_mul_workload.xhtml#adf0e0cd06d407af2ae72ac3613f01a0e">NeonBatchMatMulWorkload</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>NeonCastWorkload()
+: <a class="el" href="classarmnn_1_1_neon_cast_workload.xhtml#adeba18fb879a362620d65a07fe0cd063">NeonCastWorkload</a>
+</li>
+<li>NeonChannelShuffleWorkload()
+: <a class="el" href="classarmnn_1_1_neon_channel_shuffle_workload.xhtml#adcfc07d5002b8f83fd66678fbac75204">NeonChannelShuffleWorkload</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>NeonConvertFp16ToFp32Workload()
+: <a class="el" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#a9f374c3ca4d79ded86921bf82ead0da5">NeonConvertFp16ToFp32Workload</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>NeonConvolution3dWorkload()
+: <a class="el" href="classarmnn_1_1_neon_convolution3d_workload.xhtml#ab51509d151f08aecbe91d50e5fb16764">NeonConvolution3dWorkload</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>NeonGatherNdWorkload()
+: <a class="el" href="classarmnn_1_1_neon_gather_nd_workload.xhtml#aed7f95d9f00861351b0bd4d7b17e27b2">NeonGatherNdWorkload</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>NeonLogWorkload()
+: <a class="el" href="classarmnn_1_1_neon_log_workload.xhtml#afa3de920aaea6a4bf32d85fbb867c6fb">NeonLogWorkload</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>NeonPooling3dWorkload()
+: <a class="el" href="classarmnn_1_1_neon_pooling3d_workload.xhtml#a71bf9440a0940c1f5df25aeae219231c">NeonPooling3dWorkload</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>NeonSinWorkload()
+: <a class="el" href="classarmnn_1_1_neon_sin_workload.xhtml#ad0d8c0355ffad5b01d2db4b6db206095">NeonSinWorkload</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>NeonSqrtWorkload()
+: <a class="el" href="classarmnn_1_1_neon_sqrt_workload.xhtml#a6db078484a6eb177c5bfdc20f0e356de">NeonSqrtWorkload</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>NeonUnidirectionalSequenceLstmFloatWorkload()
+: <a class="el" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml#acceeccc54cc2871ec72da81e48e7ef1c">NeonUnidirectionalSequenceLstmFloatWorkload</a>
+</li>
+<li>NeonUnidirectionalSequenceLstmWorkload()
+: <a class="el" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_workload.xhtml#a39a30590f33a409c3c39181d446621aa">NeonUnidirectionalSequenceLstmWorkload</a>
+</li>
+<li>NeonWorkloadFactory()
+: <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a19a681524fa55169540fcccb9dcefaa6">NeonWorkloadFactory</a>
+</li>
+<li>NetworkImpl()
+: <a class="el" href="classarmnn_1_1_network_impl.xhtml#a1ba03515c88a4c042bffa446d306caf0">NetworkImpl</a>
+</li>
+<li>NodeContent()
+: <a class="el" href="classarmnn_1_1_node_content.xhtml#ae21e7088e298197d3b906693af5d42c8">NodeContent</a>
+</li>
+<li>NormalizationDescriptor()
+: <a class="el" href="structarmnn_1_1_normalization_descriptor.xhtml#a8adc7995fc87683fb9a99b3a161904c6">NormalizationDescriptor</a>
+</li>
+<li>NormalizationLayer()
+: <a class="el" href="classarmnn_1_1_normalization_layer.xhtml#a5fb322b3b9c771b4038601c1c51369b6">NormalizationLayer</a>
+</li>
+<li>Notify()
+: <a class="el" href="classarmnn_1_1experimental_1_1_async_execution_callback.xhtml#add3659cf62fe7fb95935edadacc10054">AsyncExecutionCallback</a>
+, <a class="el" href="classarmnn_1_1experimental_1_1_i_async_execution_callback.xhtml#ae08f101bbc3b0e6a50108a7da6f106b2">IAsyncExecutionCallback</a>
+</li>
+<li>num_threads()
+: <a class="el" href="classarmnn_1_1_neon_interceptor_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">NeonInterceptorScheduler</a>
+</li>
+<li>NumChildren()
+: <a class="el" href="structarmnn_1_1_json_child_object.xhtml#a1f7ec083be66d58a3e02e12956bf005e">JsonChildObject</a>
+</li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated on Thu May 18 2023 10:35:52 for ArmNN by
+    <a href="http://www.doxygen.org/index.html">
+    <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li>
+  </ul>
+</div>
+</body>
+</html>
author	Nikhil Raj <nikhil.raj@arm.com>	2023-05-19 11:14:28 +0100
committer	Nikhil Raj <nikhil.raj@arm.com>	2023-05-19 11:14:28 +0100
commit	8efb48a6847c5cd166c561127ae6611150963ce3 (patch)
tree	f4262b7e54d26021a54bbc310f46d16a291463e5 /23.05/functions_func_n.xhtml
parent	023fe66a59414a0a7b337c7be5c3c341eb5b55d2 (diff)
download	armnn-8efb48a6847c5cd166c561127ae6611150963ce3.tar.gz