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  99     <ul class="tablist">
 100       <li><a href="functions_func.xhtml#index_a"><span>a</span></a></li>
 101       <li><a href="functions_func_b.xhtml#index_b"><span>b</span></a></li>
 102       <li><a href="functions_func_c.xhtml#index_c"><span>c</span></a></li>
 103       <li><a href="functions_func_d.xhtml#index_d"><span>d</span></a></li>
 104       <li><a href="functions_func_e.xhtml#index_e"><span>e</span></a></li>
 105       <li><a href="functions_func_f.xhtml#index_f"><span>f</span></a></li>
 106       <li><a href="functions_func_g.xhtml#index_g"><span>g</span></a></li>
 107       <li><a href="functions_func_h.xhtml#index_h"><span>h</span></a></li>
 108       <li><a href="functions_func_i.xhtml#index_i"><span>i</span></a></li>
 109       <li><a href="functions_func_j.xhtml#index_j"><span>j</span></a></li>
 110       <li><a href="functions_func_k.xhtml#index_k"><span>k</span></a></li>
 111       <li><a href="functions_func_l.xhtml#index_l"><span>l</span></a></li>
 112       <li><a href="functions_func_m.xhtml#index_m"><span>m</span></a></li>
 113       <li class="current"><a href="functions_func_n.xhtml#index_n"><span>n</span></a></li>
 114       <li><a href="functions_func_o.xhtml#index_o"><span>o</span></a></li>
 115       <li><a href="functions_func_p.xhtml#index_p"><span>p</span></a></li>
 116       <li><a href="functions_func_q.xhtml#index_q"><span>q</span></a></li>
 117       <li><a href="functions_func_r.xhtml#index_r"><span>r</span></a></li>
 118       <li><a href="functions_func_s.xhtml#index_s"><span>s</span></a></li>
 119       <li><a href="functions_func_t.xhtml#index_t"><span>t</span></a></li>
 120       <li><a href="functions_func_u.xhtml#index_u"><span>u</span></a></li>
 121       <li><a href="functions_func_v.xhtml#index_v"><span>v</span></a></li>
 122       <li><a href="functions_func_w.xhtml#index_w"><span>w</span></a></li>
 123       <li><a href="functions_func_x.xhtml#index_x"><span>x</span></a></li>
 124       <li><a href="functions_func_y.xhtml#index_y"><span>y</span></a></li>
 125       <li><a href="functions_func_z.xhtml#index_z"><span>z</span></a></li>
 126       <li><a href="functions_func_0x7e.xhtml#index_0x7e"><span>~</span></a></li>
 127     </ul>
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 159 &#160;
 160
 161 <h3><a class="anchor" id="index_n"></a>- n -</h3><ul>
 162 <li>n()
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 231 , <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpMatrixAReductionKernel</a>
 232 , <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpMatrixBReductionKernel</a>
 233 , <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpMatrixMultiplyKernel</a>
 234 , <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpOffsetContributionKernel</a>
 235 , <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>
 236 , <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
 237 , <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMMatrixAccumulateBiasesKernel</a>
 238 , <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMMatrixAdditionKernel</a>
 239 , <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMMatrixMultiplyKernel</a>
 240 , <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMMatrixVectorMultiplyKernel</a>
 241 , <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMTranspose1xWKernel</a>
 242 , <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGradientKernel</a>
 243 , <a class="el" href="classarm__compute_1_1_n_e_harris_score_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHarrisScoreKernel&lt; block_size &gt;</a>
 244 , <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHistogramKernel</a>
 245 , <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHOGBlockNormalizationKernel</a>
 246 , <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHOGDetectorKernel</a>
 247 , <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHOGOrientationBinningKernel</a>
 248 , <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEIm2ColKernel</a>
 249 , <a class="el" href="classarm__compute_1_1_n_e_integral_image_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEIntegralImageKernel</a>
 250 , <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEL2NormalizeLayerKernel</a>
 251 , <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NELKTrackerKernel</a>
 252 , <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NELocallyConnectedMatrixMultiplyKernel</a>
 253 , <a class="el" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NELogits1DMaxKernel</a>
 254 , <a class="el" href="classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NELogits1DSoftmaxKernel</a>
 255 , <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMagnitudePhaseKernel&lt; mag_type, phase_type &gt;</a>
 256 , <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMeanStdDevKernel</a>
 257 , <a class="el" href="classarm__compute_1_1_n_e_median3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMedian3x3Kernel</a>
 258 , <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMinMaxKernel</a>
 259 , <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMinMaxLayerKernel</a>
 260 , <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMinMaxLocationKernel</a>
 261 , <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NENonLinearFilterKernel</a>
 262 , <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NENonMaximaSuppression3x3Kernel</a>
 263 , <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NENormalizationLayerKernel</a>
 264 , <a class="el" href="classarm__compute_1_1_n_e_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEPermuteKernel</a>
 265 , <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEPixelWiseMultiplicationKernel</a>
 266 , <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEPoolingLayerKernel</a>
 267 , <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEQuantizationLayerKernel</a>
 268 , <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEReductionOperationKernel</a>
 269 , <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NERemapKernel</a>
 270 , <a class="el" href="classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEReshapeLayerKernel</a>
 271 , <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEROIPoolingLayerKernel</a>
 272 , <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEScaleKernel</a>
 273 , <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEScharr3x3Kernel</a>
 274 , <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESeparableConvolutionHorKernel&lt; matrix_size &gt;</a>
 275 , <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESeparableConvolutionVertKernel&lt; matrix_size &gt;</a>
 276 , <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel3x3Kernel</a>
 277 , <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel5x5HorKernel</a>
 278 , <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel5x5VertKernel</a>
 279 , <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel7x7HorKernel</a>
 280 , <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel7x7VertKernel</a>
 281 , <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NETableLookupKernel</a>
 282 , <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEThresholdKernel</a>
 283 , <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NETransposeKernel</a>
 284 , <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWeightsReshapeKernel</a>
 285 , <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
 286 , <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWinogradLayerTransformInputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
 287 , <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWinogradLayerTransformOutputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
 288 , <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
 289 , <a class="el" href="classarm__compute_1_1_program.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">Program</a>
 290 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">NamedDataset</a>
 291 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_option.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">Option</a>
 292 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">TestCaseFactory</a>
 293 </li>
 294 <li>NamedDataset()
 295 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#aac7326eefd026a1b948ae98ff7a8acbf">NamedDataset</a>
 296 </li>
 297 <li>NDRange()
 298 : <a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml#a78d11be062c5b55a7b35c3a74f7b2d9b">NDRange</a>
 299 </li>
 300 <li>NEAbsoluteDifferenceKernel()
 301 : <a class="el" href="classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a813ee60454b4ddd26de77815a4f8fffb">NEAbsoluteDifferenceKernel</a>
 302 </li>
 303 <li>NEAccumulateSquaredKernel()
 304 : <a class="el" href="classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#a160d96f1b3b6fc7b1f5e8fd10617e34e">NEAccumulateSquaredKernel</a>
 305 </li>
 306 <li>NEAccumulateWeightedKernel()
 307 : <a class="el" href="classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#a044d704971675daa53757df82be00583">NEAccumulateWeightedKernel</a>
 308 </li>
 309 <li>NEActivationLayerKernel()
 310 : <a class="el" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#af5c940969e40e1ae12411bb025a117f2">NEActivationLayerKernel</a>
 311 </li>
 312 <li>NEArithmeticAdditionKernel()
 313 : <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ad336181c06f2c2983212849bd9ebcd35">NEArithmeticAdditionKernel</a>
 314 </li>
 315 <li>NEArithmeticSubtractionKernel()
 316 : <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a5f1869dd5ea404e5f6b110ec5e356320">NEArithmeticSubtractionKernel</a>
 317 </li>
 318 <li>NEBatchNormalizationLayer()
 319 : <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a25b4f1a6a344fa184fb639cc794a6994">NEBatchNormalizationLayer</a>
 320 </li>
 321 <li>NEBatchNormalizationLayerKernel()
 322 : <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a919d4b5219114921ee77fb603f27293d">NEBatchNormalizationLayerKernel</a>
 323 </li>
 324 <li>NEBitwiseAndKernel()
 325 : <a class="el" href="classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a1b109ddb7c5e104d2f294cdb4b3c8046">NEBitwiseAndKernel</a>
 326 </li>
 327 <li>NEBitwiseNotKernel()
 328 : <a class="el" href="classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#aa395e9208cb5dda01e4197ead2a0f5a0">NEBitwiseNotKernel</a>
 329 </li>
 330 <li>NEBitwiseOrKernel()
 331 : <a class="el" href="classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#afaa91b93bf4940fac54f1bb0572249a7">NEBitwiseOrKernel</a>
 332 </li>
 333 <li>NEBitwiseXorKernel()
 334 : <a class="el" href="classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#aa5786af8781e59574815a07c6746943a">NEBitwiseXorKernel</a>
 335 </li>
 336 <li>NECannyEdge()
 337 : <a class="el" href="classarm__compute_1_1_n_e_canny_edge.xhtml#ae8ba206ac7ec00eb2f4a1624c047faaa">NECannyEdge</a>
 338 </li>
 339 <li>NEChannelCombineKernel()
 340 : <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#aad5d3f2c658449874943ee6825a25715">NEChannelCombineKernel</a>
 341 </li>
 342 <li>NEChannelExtractKernel()
 343 : <a class="el" href="classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a61c8ec45550ad9df947ffb7d6fe81fb9">NEChannelExtractKernel</a>
 344 </li>
 345 <li>NECol2ImKernel()
 346 : <a class="el" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a84d2ca986ac959613f3ed9c44185242c">NECol2ImKernel</a>
 347 </li>
 348 <li>NEColorConvertKernel()
 349 : <a class="el" href="classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a9b2bcb8adfe5bd1ab71a73daf10dca6d">NEColorConvertKernel</a>
 350 </li>
 351 <li>NEConvertFullyConnectedWeights()
 352 : <a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#aecbf55e0f00cef5c1378eb47099f336d">NEConvertFullyConnectedWeights</a>
 353 </li>
 354 <li>NEConvertFullyConnectedWeightsKernel()
 355 : <a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a90b1dc1d6e41461530a27a0b98cff105">NEConvertFullyConnectedWeightsKernel</a>
 356 </li>
 357 <li>NEConvolutionKernel()
 358 : <a class="el" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a230a4894adf8380eca9e8c2aac03e9b8">NEConvolutionKernel&lt; matrix_size &gt;</a>
 359 </li>
 360 <li>NEConvolutionLayer()
 361 : <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml#a3dbdd29f4f94dc9d6089ce4a57d3809f">NEConvolutionLayer</a>
 362 </li>
 363 <li>NEConvolutionLayerReshapeWeights()
 364 : <a class="el" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad20905ddab1af56320f0be3d9921fd6c">NEConvolutionLayerReshapeWeights</a>
 365 </li>
 366 <li>NEConvolutionRectangleKernel()
 367 : <a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">NEConvolutionRectangleKernel</a>
 368 </li>
 369 <li>NEConvolutionSquare()
 370 : <a class="el" href="classarm__compute_1_1_n_e_convolution_square.xhtml#afafdfc45ea7f884ce15ac5c353f2532a">NEConvolutionSquare&lt; matrix_size &gt;</a>
 371 </li>
 372 <li>NECumulativeDistributionKernel()
 373 : <a class="el" href="classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a6fa25b9f56915d8a179725e5bab75640">NECumulativeDistributionKernel</a>
 374 </li>
 375 <li>NEDeconvolutionLayer()
 376 : <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml#a7eed3415cae42b9a35a5ffa5267281d9">NEDeconvolutionLayer</a>
 377 </li>
 378 <li>NEDepthConcatenateLayer()
 379 : <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#a57e7dcc67e907da24d6c778639ed8beb">NEDepthConcatenateLayer</a>
 380 </li>
 381 <li>NEDepthConcatenateLayerKernel()
 382 : <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#ad6e98c5ccc23df7ba5781c8497e83947">NEDepthConcatenateLayerKernel</a>
 383 </li>
 384 <li>NEDepthConvertLayer()
 385 : <a class="el" href="classarm__compute_1_1_n_e_depth_convert_layer.xhtml#ad641b4160974dd335faa633d22d9ca7b">NEDepthConvertLayer</a>
 386 </li>
 387 <li>NEDepthConvertLayerKernel()
 388 : <a class="el" href="classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a32920cbfb827224a7b09311658871b40">NEDepthConvertLayerKernel</a>
 389 </li>
 390 <li>NEDepthwiseConvolutionLayer()
 391 : <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#aaa71284f868a7571de11d6230081a008">NEDepthwiseConvolutionLayer</a>
 392 </li>
 393 <li>NEDepthwiseConvolutionLayer3x3()
 394 : <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#a2d926f57bc16961f74798f4207c0b9e2">NEDepthwiseConvolutionLayer3x3</a>
 395 </li>
 396 <li>NEDepthwiseConvolutionLayer3x3Kernel()
 397 : <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#abf0a671d5f84d64b22c1baacbc30d42c">NEDepthwiseConvolutionLayer3x3Kernel</a>
 398 </li>
 399 <li>NEDepthwiseIm2ColKernel()
 400 : <a class="el" href="classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#abedec4a789c5ce275d17d458810e9fac">NEDepthwiseIm2ColKernel</a>
 401 </li>
 402 <li>NEDepthwiseSeparableConvolutionLayer()
 403 : <a class="el" href="classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#aafa2f3a8b43b033f84032a4082984d8c">NEDepthwiseSeparableConvolutionLayer</a>
 404 </li>
 405 <li>NEDepthwiseVectorToTensorKernel()
 406 : <a class="el" href="classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a45211656df43f2757693a69f39c175da">NEDepthwiseVectorToTensorKernel</a>
 407 </li>
 408 <li>NEDepthwiseWeightsReshapeKernel()
 409 : <a class="el" href="classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#ae357794bb7bc6e3053d54fc62f5c4db0">NEDepthwiseWeightsReshapeKernel</a>
 410 </li>
 411 <li>NEDequantizationLayer()
 412 : <a class="el" href="classarm__compute_1_1_n_e_dequantization_layer.xhtml#a3815ed964e16372e0c2769a69e0373de">NEDequantizationLayer</a>
 413 </li>
 414 <li>NEDequantizationLayerKernel()
 415 : <a class="el" href="classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#afb04616ade20ec68717dde3bbfca541b">NEDequantizationLayerKernel</a>
 416 </li>
 417 <li>NEDerivative()
 418 : <a class="el" href="classarm__compute_1_1_n_e_derivative.xhtml#a06a119e5e329e9283c4c884a1d927914">NEDerivative</a>
 419 </li>
 420 <li>NEDerivativeKernel()
 421 : <a class="el" href="classarm__compute_1_1_n_e_derivative_kernel.xhtml#ac317d66b746c86ea136eb7996c897b22">NEDerivativeKernel</a>
 422 </li>
 423 <li>NEDeviceBackend()
 424 : <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#a66234bec4278ca60b7efb8ac0ab1bd09">NEDeviceBackend</a>
 425 </li>
 426 <li>NEDirectConvolutionLayer()
 427 : <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#abfe12062903b497c501ad5127b77bd44">NEDirectConvolutionLayer</a>
 428 </li>
 429 <li>NEDirectConvolutionLayerKernel()
 430 : <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ac0cdf0dbaff299b1359714a7f70d6072">NEDirectConvolutionLayerKernel</a>
 431 </li>
 432 <li>NEDirectConvolutionLayerOutputStageKernel()
 433 : <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a30c40481bcf8b7a26d1354b33b1dccdb">NEDirectConvolutionLayerOutputStageKernel</a>
 434 </li>
 435 <li>NEEdgeNonMaxSuppressionKernel()
 436 : <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a7e3beb7abd77b10e6630ae83f33e558b">NEEdgeNonMaxSuppressionKernel</a>
 437 </li>
 438 <li>NEEdgeTraceKernel()
 439 : <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a612c2d90812d66a7ce4c2f588b5845c4">NEEdgeTraceKernel</a>
 440 </li>
 441 <li>needs_shifting()
 442 : <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml#a61f1b6619df2a9324c6360b077083f39">IGCTensor</a>
 443 </li>
 444 <li>NEEqualizeHistogram()
 445 : <a class="el" href="classarm__compute_1_1_n_e_equalize_histogram.xhtml#ae45d670bd9b55e0c7837094d5f20449e">NEEqualizeHistogram</a>
 446 </li>
 447 <li>NEFastCorners()
 448 : <a class="el" href="classarm__compute_1_1_n_e_fast_corners.xhtml#a28dfc2ab33e0f3cd2fda1cbea93148f1">NEFastCorners</a>
 449 </li>
 450 <li>NEFastCornersKernel()
 451 : <a class="el" href="classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#ad7651a9d61e2bbc1debf8aeea2594ae4">NEFastCornersKernel</a>
 452 </li>
 453 <li>NEFillArrayKernel()
 454 : <a class="el" href="classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a3977e850ced9f5b343b76a93b0754ca0">NEFillArrayKernel</a>
 455 </li>
 456 <li>NEFillBorderKernel()
 457 : <a class="el" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml#a687427caf0b665fce20cac17d238e946">NEFillBorderKernel</a>
 458 </li>
 459 <li>NEFillInnerBorderKernel()
 460 : <a class="el" href="classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a3f451de2b9b4c74b5c66a1b9b0511836">NEFillInnerBorderKernel</a>
 461 </li>
 462 <li>NEFullyConnectedLayer()
 463 : <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a7998301359e064aa20ce967b45301d3b">NEFullyConnectedLayer</a>
 464 </li>
 465 <li>NEFullyConnectedLayerReshapeWeights()
 466 : <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#af20812ea72913d388a9a70f9d28e7c36">NEFullyConnectedLayerReshapeWeights</a>
 467 </li>
 468 <li>negate()
 469 : <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#aa78731a2479da19c6604b3baa3ffe33d">functions</a>
 470 </li>
 471 <li>NEGaussian5x5()
 472 : <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5.xhtml#a0f4449cdff5c9f8dfc0ff8ad81675abe">NEGaussian5x5</a>
 473 </li>
 474 <li>NEGaussian5x5HorKernel()
 475 : <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#ac1b9627b3909b4050f88a7f87ba65953">NEGaussian5x5HorKernel</a>
 476 </li>
 477 <li>NEGaussianPyramid()
 478 : <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#adf74ce175214d5cdbc645c05fb31b21b">NEGaussianPyramid</a>
 479 </li>
 480 <li>NEGaussianPyramidHalf()
 481 : <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_half.xhtml#af738e667c218a7d293fdc06925194b1f">NEGaussianPyramidHalf</a>
 482 </li>
 483 <li>NEGaussianPyramidHorKernel()
 484 : <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a1dfc79d471f28f16d94dd428e1d29abb">NEGaussianPyramidHorKernel</a>
 485 </li>
 486 <li>NEGaussianPyramidOrb()
 487 : <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#a944408035fc5125bab445b8241abcd90">NEGaussianPyramidOrb</a>
 488 </li>
 489 <li>NEGaussianPyramidVertKernel()
 490 : <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a7d7c6bdf235be21dd5c0dd0c17182248">NEGaussianPyramidVertKernel</a>
 491 </li>
 492 <li>NEGEMM()
 493 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml#abaa70c8f86d580a791200678388d0073">NEGEMM</a>
 494 </li>
 495 <li>NEGEMMAssemblyBaseKernel()
 496 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#a4f6114633a022d4829db101eed792843">NEGEMMAssemblyBaseKernel</a>
 497 </li>
 498 <li>NEGEMMConvolutionLayer()
 499 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ad39eb0841612b282e05103589d079055">NEGEMMConvolutionLayer</a>
 500 </li>
 501 <li>NEGEMMInterleave4x4Kernel()
 502 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#ae05d4514f4b8415dbd21e900cffb2fbc">NEGEMMInterleave4x4Kernel</a>
 503 </li>
 504 <li>NEGEMMLowpAssemblyMatrixMultiplyCore()
 505 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#af5f476de0574e0225a55db44447c48f4">NEGEMMLowpAssemblyMatrixMultiplyCore</a>
 506 </li>
 507 <li>NEGEMMLowpMatrixMultiplyCore()
 508 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a0b1bcf4d061ed4b99b69d6f6fa0b797e">NEGEMMLowpMatrixMultiplyCore</a>
 509 </li>
 510 <li>NEGEMMLowpMatrixMultiplyKernel()
 511 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a81181df64bd527630a72dc7ce5109f49">NEGEMMLowpMatrixMultiplyKernel</a>
 512 </li>
 513 <li>NEGEMMLowpOffsetContributionKernel()
 514 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a30f6ea6f61be1d7c9c6304daf3543faa">NEGEMMLowpOffsetContributionKernel</a>
 515 </li>
 516 <li>NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel()
 517 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a3d0b72df579c39f4559d541ffce740bd">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>
 518 </li>
 519 <li>NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel()
 520 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a06e91bfbbc6c1e8ad7260f62986eeb79">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
 521 </li>
 522 <li>NEGEMMMatrixAccumulateBiasesKernel()
 523 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aa3c78a8fb89c877aae90f2e76d1fe5ec">NEGEMMMatrixAccumulateBiasesKernel</a>
 524 </li>
 525 <li>NEGEMMMatrixAdditionKernel()
 526 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ab2165f92396a03786cf5e499c4d0e62c">NEGEMMMatrixAdditionKernel</a>
 527 </li>
 528 <li>NEGEMMMatrixMultiplyKernel()
 529 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#aeef5692e383060fe73ee1eb989b96ad4">NEGEMMMatrixMultiplyKernel</a>
 530 </li>
 531 <li>NEGEMMMatrixVectorMultiplyKernel()
 532 : <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a65033b645497768758fcf14d4d25eede">NEGEMMMatrixVectorMultiplyKernel</a>
 533 </li>
 534 <li>NEGradientKernel()
 535 : <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a7da52d0627026b852dc51dbab82a978b">NEGradientKernel</a>
 536 </li>
 537 <li>NEHarrisCorners()
 538 : <a class="el" href="classarm__compute_1_1_n_e_harris_corners.xhtml#a2e2017552e622fdfca6e14066fb83806">NEHarrisCorners</a>
 539 </li>
 540 <li>NEHarrisScoreKernel()
 541 : <a class="el" href="classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a18cf8876acac9c6c2b35e38d9beabe9d">NEHarrisScoreKernel&lt; block_size &gt;</a>
 542 </li>
 543 <li>NEHistogram()
 544 : <a class="el" href="classarm__compute_1_1_n_e_histogram.xhtml#a15d0892c4a1aa404f5a6967b8bc49fa8">NEHistogram</a>
 545 </li>
 546 <li>NEHistogramKernel()
 547 : <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#a13563fca453f4925820f84d182294b9d">NEHistogramKernel</a>
 548 </li>
 549 <li>NEHOGBlockNormalizationKernel()
 550 : <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ae88dacb24506d235031138db045b8413">NEHOGBlockNormalizationKernel</a>
 551 </li>
 552 <li>NEHOGDescriptor()
 553 : <a class="el" href="classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#acd99c8cb08517ab807be56293aac5bec">NEHOGDescriptor</a>
 554 </li>
 555 <li>NEHOGDetectorKernel()
 556 : <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a2c0f4bf7e37cb04bf2384f4bc71b84d5">NEHOGDetectorKernel</a>
 557 </li>
 558 <li>NEHOGGradient()
 559 : <a class="el" href="classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ae5b673d17e79264048516b6e19e4f59e">NEHOGGradient</a>
 560 </li>
 561 <li>NEHOGMultiDetection()
 562 : <a class="el" href="classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#abb8258d13d0759751d0a95299f091e02">NEHOGMultiDetection</a>
 563 </li>
 564 <li>NEHOGOrientationBinningKernel()
 565 : <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a5a1b3543ffcd941a0f3b5bc2b058c92e">NEHOGOrientationBinningKernel</a>
 566 </li>
 567 <li>NEIm2Col()
 568 : <a class="el" href="classarm__compute_1_1_n_e_im2_col.xhtml#a6f08d8bba859372d8979b0e4b09ddb56">NEIm2Col</a>
 569 </li>
 570 <li>NEIm2ColKernel()
 571 : <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#aec5fb874227c941e8ac14de3d29e543b">NEIm2ColKernel</a>
 572 </li>
 573 <li>NEL2NormalizeLayer()
 574 : <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad15dc31c9ce02a1afd5762b64a11c1c4">NEL2NormalizeLayer</a>
 575 </li>
 576 <li>NEL2NormalizeLayerKernel()
 577 : <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a074123c53d349a9f418a7a269e331230">NEL2NormalizeLayerKernel</a>
 578 </li>
 579 <li>NELaplacianPyramid()
 580 : <a class="el" href="classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#a4b03c61f02f3e0119fa71877abb9b4b8">NELaplacianPyramid</a>
 581 </li>
 582 <li>NELaplacianReconstruct()
 583 : <a class="el" href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#a1490de9008819d066ff78159afb03fe0">NELaplacianReconstruct</a>
 584 </li>
 585 <li>NELKTrackerKernel()
 586 : <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a10e6214af1515f5916f93dddd1bb3124">NELKTrackerKernel</a>
 587 </li>
 588 <li>NELocallyConnectedLayer()
 589 : <a class="el" href="classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a477dfb4eac212309023a3a1ca6284d9c">NELocallyConnectedLayer</a>
 590 </li>
 591 <li>NELocallyConnectedMatrixMultiplyKernel()
 592 : <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a3acd16d134e4f9fcca7a2929375194dd">NELocallyConnectedMatrixMultiplyKernel</a>
 593 </li>
 594 <li>NELogits1DMaxKernel()
 595 : <a class="el" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a7dcfcda37359d31c2510ad865f4ca051">NELogits1DMaxKernel</a>
 596 </li>
 597 <li>NELogits1DSoftmaxKernel()
 598 : <a class="el" href="classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a83bde72fd3fc3d67311f78315eafd23c">NELogits1DSoftmaxKernel</a>
 599 </li>
 600 <li>NEMagnitudePhaseKernel()
 601 : <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a53c147feec3c6f2912779194fa2b5513">NEMagnitudePhaseKernel&lt; mag_type, phase_type &gt;</a>
 602 </li>
 603 <li>NEMeanStdDev()
 604 : <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev.xhtml#a08ebd3b5f0e06c72c512d799cd9fccd2">NEMeanStdDev</a>
 605 </li>
 606 <li>NEMeanStdDevKernel()
 607 : <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a6a85f552b312ad2560ae02676db95f9e">NEMeanStdDevKernel</a>
 608 </li>
 609 <li>NEMinMaxKernel()
 610 : <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a6838da666c340e4d73e8779d710a2dfd">NEMinMaxKernel</a>
 611 </li>
 612 <li>NEMinMaxLayerKernel()
 613 : <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a7595e6658a34d7fea57ae6b7e9df9753">NEMinMaxLayerKernel</a>
 614 </li>
 615 <li>NEMinMaxLocation()
 616 : <a class="el" href="classarm__compute_1_1_n_e_min_max_location.xhtml#ae1e54926ff0f8534bbd3a97d9c0fdaa2">NEMinMaxLocation</a>
 617 </li>
 618 <li>NEMinMaxLocationKernel()
 619 : <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a6971de3cc78ca3734cc210752253f76b">NEMinMaxLocationKernel</a>
 620 </li>
 621 <li>NENonLinearFilterKernel()
 622 : <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#aa8b392e0f9752f58bad0899fbf05062d">NENonLinearFilterKernel</a>
 623 </li>
 624 <li>NENonMaximaSuppression3x3Kernel()
 625 : <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a23a87d0179856717eec69f3b960d3e78">NENonMaximaSuppression3x3Kernel</a>
 626 </li>
 627 <li>NENormalizationLayer()
 628 : <a class="el" href="classarm__compute_1_1_n_e_normalization_layer.xhtml#ab9fb64464b613c8dfb660ce8adda169e">NENormalizationLayer</a>
 629 </li>
 630 <li>NENormalizationLayerKernel()
 631 : <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#ab3498b8beb89599cee12a9e2ac083d88">NENormalizationLayerKernel</a>
 632 </li>
 633 <li>NEOpticalFlow()
 634 : <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#ad5dfdcf45ad38c48cd725b0fdc675b34">NEOpticalFlow</a>
 635 </li>
 636 <li>NEPermuteKernel()
 637 : <a class="el" href="classarm__compute_1_1_n_e_permute_kernel.xhtml#acba877f622a9b909a592f5a43ed26863">NEPermuteKernel</a>
 638 </li>
 639 <li>NEPixelWiseMultiplicationKernel()
 640 : <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a75e09a8ec40fb21b0f71421960b540a6">NEPixelWiseMultiplicationKernel</a>
 641 </li>
 642 <li>NEPoolingLayer()
 643 : <a class="el" href="classarm__compute_1_1_n_e_pooling_layer.xhtml#adfb415099e7d78f4444e0fb45e405091">NEPoolingLayer</a>
 644 </li>
 645 <li>NEPoolingLayerKernel()
 646 : <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a580a7925065fd33f5e7e12425769edd1">NEPoolingLayerKernel</a>
 647 </li>
 648 <li>NEQuantizationLayer()
 649 : <a class="el" href="classarm__compute_1_1_n_e_quantization_layer.xhtml#abbcc94a884fd97848c9958b238c3a3c9">NEQuantizationLayer</a>
 650 </li>
 651 <li>NEQuantizationLayerKernel()
 652 : <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#af016debab1ceae65a136232e68c17617">NEQuantizationLayerKernel</a>
 653 </li>
 654 <li>NEReductionOperation()
 655 : <a class="el" href="classarm__compute_1_1_n_e_reduction_operation.xhtml#a20574f46cffa32ed112fcffa4e3af223">NEReductionOperation</a>
 656 </li>
 657 <li>NEReductionOperationKernel()
 658 : <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a2a4e88f09df046635e88b16c8ec387a7">NEReductionOperationKernel</a>
 659 </li>
 660 <li>NERemapKernel()
 661 : <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#a02121cbb8760314f74f08d6b36a2cbbc">NERemapKernel</a>
 662 </li>
 663 <li>NEROIPoolingLayer()
 664 : <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#a25e24d127134f9fd599195250c19444b">NEROIPoolingLayer</a>
 665 </li>
 666 <li>NEROIPoolingLayerKernel()
 667 : <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a6c1533ba7e860b0bf061dd02f552f427">NEROIPoolingLayerKernel</a>
 668 </li>
 669 <li>NEScale()
 670 : <a class="el" href="classarm__compute_1_1_n_e_scale.xhtml#a30a0363a371ac59877079c6ec1962657">NEScale</a>
 671 </li>
 672 <li>NEScaleKernel()
 673 : <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#afaad06478be3721ab81bb31303e3036d">NEScaleKernel</a>
 674 </li>
 675 <li>NEScharr3x3Kernel()
 676 : <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a625e12a0c7ab061154b39f47a4a11309">NEScharr3x3Kernel</a>
 677 </li>
 678 <li>NESeparableConvolutionHorKernel()
 679 : <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a965a154580e00968b45aa6268986cd51">NESeparableConvolutionHorKernel&lt; matrix_size &gt;</a>
 680 </li>
 681 <li>NESeparableConvolutionVertKernel()
 682 : <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ac3aaa23fc2c41fdb7a6de14841631fbd">NESeparableConvolutionVertKernel&lt; matrix_size &gt;</a>
 683 </li>
 684 <li>NESobel3x3Kernel()
 685 : <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a517dc6cf8dd14439b40ba8c06ead5810">NESobel3x3Kernel</a>
 686 </li>
 687 <li>NESobel5x5()
 688 : <a class="el" href="classarm__compute_1_1_n_e_sobel5x5.xhtml#a60dc311f2ae26bf9447df0e95ad631de">NESobel5x5</a>
 689 </li>
 690 <li>NESobel5x5HorKernel()
 691 : <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ab3fe9be760d9e2faa8cb36872889fc98">NESobel5x5HorKernel</a>
 692 </li>
 693 <li>NESobel5x5VertKernel()
 694 : <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a2ff0db37338bc4f3cbc18e51ce0317ae">NESobel5x5VertKernel</a>
 695 </li>
 696 <li>NESobel7x7()
 697 : <a class="el" href="classarm__compute_1_1_n_e_sobel7x7.xhtml#a999f68b754259bb7c0a1003e51a31c99">NESobel7x7</a>
 698 </li>
 699 <li>NESobel7x7HorKernel()
 700 : <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ad408b442a132acdbcf1e6c28100d2c2e">NESobel7x7HorKernel</a>
 701 </li>
 702 <li>NESobel7x7VertKernel()
 703 : <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a685552a5f91d30d8f5b4ce2003771d18">NESobel7x7VertKernel</a>
 704 </li>
 705 <li>NESoftmaxLayer()
 706 : <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#a302bd66eed7126e9c7b0eb6bc3314ac3">NESoftmaxLayer</a>
 707 </li>
 708 <li>NESubTensorHandle()
 709 : <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a2f55bff8083e46405832ce52c9a92a91">NESubTensorHandle</a>
 710 </li>
 711 <li>NETableLookupKernel()
 712 : <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#aee2586f6c778ffab9ee3adbc2a6790a1">NETableLookupKernel</a>
 713 </li>
 714 <li>NETensorHandle()
 715 : <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a7589aedeac35ee91015d3dd625a9abcd">NETensorHandle</a>
 716 </li>
 717 <li>NEThresholdKernel()
 718 : <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#aa225b6f88add359d864507bdc2053ac0">NEThresholdKernel</a>
 719 </li>
 720 <li>NETransposeKernel()
 721 : <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#a3a5122ad042e8f04a6cd96980bce3d49">NETransposeKernel</a>
 722 </li>
 723 <li>NEWeightsReshapeKernel()
 724 : <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a4d7fc5f87332371306c0b2bf907c7603">NEWeightsReshapeKernel</a>
 725 </li>
 726 <li>NEWinogradConvolutionLayer()
 727 : <a class="el" href="classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a5adf00d4ee113decca5848feb9684e08">NEWinogradConvolutionLayer</a>
 728 </li>
 729 <li>NEWinogradLayerBatchedGEMMKernel()
 730 : <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a5ed24f87723c92b3c7abc3403306150b">NEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
 731 </li>
 732 <li>NEWinogradLayerTransformInputKernel()
 733 : <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a975ca7003dae590387fdf8546e1b08fd">NEWinogradLayerTransformInputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
 734 </li>
 735 <li>NEWinogradLayerTransformOutputKernel()
 736 : <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a40aff3f958efb262a020826b1d1026bd">NEWinogradLayerTransformOutputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
 737 </li>
 738 <li>NEWinogradLayerTransformWeightsKernel()
 739 : <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ad25daf413f7dd45f084ae22a25b8bbe5">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
 740 </li>
 741 <li>node()
 742 : <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a62b93384d460474d7e07b8b298f22761">Graph</a>
 743 </li>
 744 <li>nodes()
 745 : <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#ae93973ccc862f01a4041bb3274ddb081">Graph</a>
 746 </li>
 747 <li>norm_size()
 748 : <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a0549be3702c05e6ec1ada69a6d08e349">NormalizationLayerInfo</a>
 749 </li>
 750 <li>normalization_info()
 751 : <a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#aeef3b71fd01564ea246759eeba1f1f99">NormalizationLayerNode</a>
 752 </li>
 753 <li>normalization_type()
 754 : <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#aed90de2ef57929727bb2159b66d04487">HOGInfo</a>
 755 </li>
 756 <li>NormalizationLayer()
 757 : <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml#ada275ffd82f624b62bdbc2f01349fe33">NormalizationLayer</a>
 758 </li>
 759 <li>NormalizationLayerInfo()
 760 : <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a305c2145d26b998641402a9fec76f0bb">NormalizationLayerInfo</a>
 761 </li>
 762 <li>NormalizationLayerNode()
 763 : <a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#abb7d80e613ca846f644767d706116e18">NormalizationLayerNode</a>
 764 </li>
 765 <li>NPYLoader()
 766 : <a class="el" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a59ac86360353fd935c6979105da7aefa">NPYLoader</a>
 767 </li>
 768 <li>num_arguments_per_1D_array()
 769 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a278f0e6c68ca17e71f4c4ff82f360aa0">ICLKernel</a>
 770 </li>
 771 <li>num_arguments_per_1D_tensor()
 772 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a43b6c5e4b57069c5f61e96dff24c212d">ICLKernel</a>
 773 , <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a770f45838881fc061294e56d64f34386">IGCKernel</a>
 774 </li>
 775 <li>num_arguments_per_2D_tensor()
 776 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a45601e0d46621a5b6f2e417d60e5c800">ICLKernel</a>
 777 , <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ac734502531e7f95e25b3bf688a304a59">IGCKernel</a>
 778 </li>
 779 <li>num_arguments_per_3D_tensor()
 780 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c9c1e7a7d96743375ca40847f0f12e2">ICLKernel</a>
 781 , <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a4feaae9c860cddfa843d37c953674a22">IGCKernel</a>
 782 </li>
 783 <li>num_arguments_per_4D_tensor()
 784 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a184fdf37587a9314cf12623accea6c73">ICLKernel</a>
 785 </li>
 786 <li>num_bins()
 787 : <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#ae3664b841732a09d7749953ca5b81373">HOGInfo</a>
 788 , <a class="el" href="classarm__compute_1_1_i_distribution1_d.xhtml#ae3664b841732a09d7749953ca5b81373">IDistribution1D</a>
 789 </li>
 790 <li>num_block_positions_per_image()
 791 : <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a52014865347589ff3027a3534181c551">HOGInfo</a>
 792 </li>
 793 <li>num_cells_per_block()
 794 : <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#adb20b5249eedf180a461ea097622fe7f">HOGInfo</a>
 795 </li>
 796 <li>num_cells_per_block_stride()
 797 : <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a932db6ec1490ede3ff23e8c0ce80865c">HOGInfo</a>
 798 </li>
 799 <li>num_channels()
 800 : <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">ITensorInfo</a>
 801 , <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">SubTensorInfo</a>
 802 , <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">TensorInfo</a>
 803 , <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">Accessor</a>
 804 , <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">CLAccessor</a>
 805 , <a class="el" href="classarm__compute_1_1test_1_1_g_c_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">GCAccessor</a>
 806 , <a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">IAccessor</a>
 807 , <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">SimpleTensor&lt; T &gt;</a>
 808 </li>
 809 <li>num_dimensions()
 810 : <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">Dimensions&lt; T &gt;</a>
 811 , <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">ITensorInfo</a>
 812 , <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">SubTensorInfo</a>
 813 , <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">TensorInfo</a>
 814 </li>
 815 <li>num_elements()
 816 : <a class="el" href="classarm__compute_1_1_c_l_lut.xhtml#a6dac829b4ddf4a5729ac090e73696958">CLLut</a>
 817 , <a class="el" href="classarm__compute_1_1_i_lut.xhtml#a7a826fbb4f639c556352d1ede69187d7">ILut</a>
 818 , <a class="el" href="classarm__compute_1_1_i_lut_allocator.xhtml#a3f7ed6a14a98f283aa700342b9cc2a01">ILutAllocator</a>
 819 , <a class="el" href="classarm__compute_1_1_lut.xhtml#a6dac829b4ddf4a5729ac090e73696958">Lut</a>
 820 , <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">Accessor</a>
 821 , <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">CLAccessor</a>
 822 , <a class="el" href="classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">CLLutAccessor&lt; T &gt;</a>
 823 , <a class="el" href="classarm__compute_1_1test_1_1_g_c_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">GCAccessor</a>
 824 , <a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">IAccessor</a>
 825 , <a class="el" href="classarm__compute_1_1test_1_1_i_lut_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">ILutAccessor&lt; T &gt;</a>
 826 , <a class="el" href="classarm__compute_1_1test_1_1_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">LutAccessor&lt; T &gt;</a>
 827 , <a class="el" href="classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">RawLutAccessor&lt; T &gt;</a>
 828 , <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">SimpleTensor&lt; T &gt;</a>
 829 </li>
 830 <li>num_inputs()
 831 : <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a7db9a1c221b414ff11bd4a5b7b97ec8d">INode</a>
 832 </li>
 833 <li>num_iterations()
 834 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a30181518d2f7c76c7692e8ab99ea1808">Framework</a>
 835 , <a class="el" href="classarm__compute_1_1_window.xhtml#a7b83048403721ed7e90d402e7cf3999b">Window</a>
 836 </li>
 837 <li>num_kernels()
 838 : <a class="el" href="classarm__compute_1_1_weights_info.xhtml#ae56950468898173b9466ab93b843c967">WeightsInfo</a>
 839 </li>
 840 <li>num_levels()
 841 : <a class="el" href="classarm__compute_1_1_pyramid_info.xhtml#a14af062b9f957e61e4efe171fe7065a3">PyramidInfo</a>
 842 </li>
 843 <li>num_models()
 844 : <a class="el" href="classarm__compute_1_1_c_l_multi_h_o_g.xhtml#a63070a779573aae4282278bc08390329">CLMultiHOG</a>
 845 , <a class="el" href="classarm__compute_1_1_i_multi_h_o_g.xhtml#a36ab43f5c3606001dcd2468b955f3e02">IMultiHOG</a>
 846 , <a class="el" href="classarm__compute_1_1_multi_h_o_g.xhtml#a63070a779573aae4282278bc08390329">MultiHOG</a>
 847 </li>
 848 <li>num_outputs()
 849 : <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a20ee33c4a581d8d3507dbb898d47d733">INode</a>
 850 </li>
 851 <li>num_pools()
 852 : <a class="el" href="classarm__compute_1_1_i_pool_manager.xhtml#a57e6036b79c8583ca2f23771e4b7052a">IPoolManager</a>
 853 , <a class="el" href="classarm__compute_1_1_pool_manager.xhtml#ae6779aff1846cda85a356089ee5e45f6">PoolManager</a>
 854 </li>
 855 <li>num_splits()
 856 : <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#ab82d100c42cbc642c33ae7071b7b51b3">SplitLayerNode</a>
 857 </li>
 858 <li>num_threads()
 859 : <a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">CPPScheduler</a>
 860 , <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#ac24584a63e484123e3756d1b2a1c9e2f">IScheduler</a>
 861 , <a class="el" href="classarm__compute_1_1_o_m_p_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">OMPScheduler</a>
 862 , <a class="el" href="classarm__compute_1_1_single_thread_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">SingleThreadScheduler</a>
 863 </li>
 864 <li>num_threads_hint()
 865 : <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a6298e3b887acb402fdda318de12428ef">IScheduler</a>
 866 </li>
 867 <li>num_values()
 868 : <a class="el" href="classarm__compute_1_1_i_array.xhtml#a6dc031c18a14371984493b25a4230f59">IArray&lt; T &gt;</a>
 869 , <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#ade9461ca253dd956d2d08f89dd04c6eb">ArrayAccessor&lt; T &gt;</a>
 870 , <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#ade9461ca253dd956d2d08f89dd04c6eb">CLArrayAccessor&lt; T &gt;</a>
 871 , <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#a19ecfde9ec6b2dda6d06cc79dd8d956c">IArrayAccessor&lt; T &gt;</a>
 872 </li>
 873 <li>NumPyAccessor()
 874 : <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#a8a339f337aa264ea978a648e39df90f2">NumPyAccessor</a>
 875 </li>
 876 <li>NumPyBinLoader()
 877 : <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#a4f32ab9a631e79fe364fed57a1d0145b">NumPyBinLoader</a>
 878 </li>
 879 </ul>
 880 </div><!-- contents -->
 881 </div><!-- doc-content -->
 882 <!-- start footer part -->
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 885     <li class="footer">Generated on Wed May 23 2018 11:36:46 for Compute Library by
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 887     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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