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&#160;<span id="projectnumber">v17.06</span>
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<li><a href="functions.xhtml#index__"><span>_</span></a></li>
<li><a href="functions_a.xhtml#index_a"><span>a</span></a></li>
<li><a href="functions_b.xhtml#index_b"><span>b</span></a></li>
<li><a href="functions_c.xhtml#index_c"><span>c</span></a></li>
<li><a href="functions_d.xhtml#index_d"><span>d</span></a></li>
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<li><a href="functions_f.xhtml#index_f"><span>f</span></a></li>
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<li><a href="functions_k.xhtml#index_k"><span>k</span></a></li>
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<li><a href="functions_y.xhtml#index_y"><span>y</span></a></li>
<li><a href="functions_z.xhtml#index_z"><span>z</span></a></li>
<li class="current"><a href="functions_0x7e.xhtml#index_0x7e"><span>~</span></a></li>
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<div class="textblock">Here is a list of all struct and union fields with links to the structures/unions they belong to:</div>
<h3><a class="anchor" id="index_0x7e"></a>- ~ -</h3><ul>
<li>~AccessWindowAutoPadding()
: <a class="el" href="classarm__compute_1_1_access_window_auto_padding.xhtml#a129a10edb6f1ecc24810945981a7e50e">AccessWindowAutoPadding</a>
</li>
<li>~AccessWindowRectangle()
: <a class="el" href="classarm__compute_1_1_access_window_rectangle.xhtml#a32733393d362ac5cd19a588bb248e5c6">AccessWindowRectangle</a>
</li>
<li>~AccessWindowStatic()
: <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#a657392da3805fde373c0cef557739d08">AccessWindowStatic</a>
</li>
<li>~ActivationFunctions()
: <a class="el" href="classarm__compute_1_1test_1_1_activation_functions.xhtml#a9ee2a40eb07f68ce93fdd237507e54da">ActivationFunctions</a>
</li>
<li>~AlexNetActivationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_alex_net_activation_layer_dataset.xhtml#a5b76cec586279603bda733245d9d9ab4">AlexNetActivationLayerDataset</a>
</li>
<li>~AlexNetConvolutionLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_alex_net_convolution_layer_dataset.xhtml#ad63aab193b4b883af7f41e04cdb970d2">AlexNetConvolutionLayerDataset</a>
</li>
<li>~AlexNetFullyConnectedLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_alex_net_fully_connected_layer_dataset.xhtml#a168c22abbc4bef271bfded6f654eb097">AlexNetFullyConnectedLayerDataset</a>
</li>
<li>~AlexNetNormalizationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset.xhtml#ad41a252238157b2dea193ff007b48884">AlexNetNormalizationLayerDataset</a>
</li>
<li>~AlexNetPoolingLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_alex_net_pooling_layer_dataset.xhtml#ac9ad38ac46135a495f08926024aea83a">AlexNetPoolingLayerDataset</a>
</li>
<li>~AllDataTypes()
: <a class="el" href="classarm__compute_1_1test_1_1_all_data_types.xhtml#a0952079c7469b7f1161b1e9b9d0494dc">AllDataTypes</a>
</li>
<li>~CLAbsoluteDifferenceKernel()
: <a class="el" href="classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#aea6992684b565a3656dae7216a3be2d4">CLAbsoluteDifferenceKernel</a>
</li>
<li>~CLAccessor()
: <a class="el" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558">CLAccessor</a>
</li>
<li>~CLArithmeticAdditionKernel()
: <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a7963f0e83a9b2ccc626701d97a89e76a">CLArithmeticAdditionKernel</a>
</li>
<li>~CLArithmeticSubtractionKernel()
: <a class="el" href="classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a582c6993688f726a39586d3d3c6352a6">CLArithmeticSubtractionKernel</a>
</li>
<li>~CLBatchNormalizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#aafb7a9f7e113cbb1f93dd030a4994b4a">CLBatchNormalizationLayerKernel</a>
</li>
<li>~CLChannelCombineKernel()
: <a class="el" href="classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#aaab19adbe7aed0d2f1aa5a7bcb5edb64">CLChannelCombineKernel</a>
</li>
<li>~CLChannelExtractKernel()
: <a class="el" href="classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a27ad648b664e45d4c571487543160bfb">CLChannelExtractKernel</a>
</li>
<li>~CLCol2ImKernel()
: <a class="el" href="classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a4551e8f874d80a480ba0e5f6ad1d256e">CLCol2ImKernel</a>
</li>
<li>~CLColorConvertKernel()
: <a class="el" href="classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a96d19d01c4797e1b38105b73613c46d0">CLColorConvertKernel</a>
</li>
<li>~CLCopyToArrayKernel()
: <a class="el" href="classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a7fa1d109f0c6d72521e336fd3955cee9">CLCopyToArrayKernel</a>
</li>
<li>~CLDepthConcatenateKernel()
: <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_kernel.xhtml#a88ec361931b563961b73a6295030a60f">CLDepthConcatenateKernel</a>
</li>
<li>~CLDerivativeKernel()
: <a class="el" href="classarm__compute_1_1_c_l_derivative_kernel.xhtml#a83d38310c15f7b92264b5403ddd0bbda">CLDerivativeKernel</a>
</li>
<li>~CLFastCornersKernel()
: <a class="el" href="classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a2b06599adac42d0aa917573716356999">CLFastCornersKernel</a>
</li>
<li>~CLFillBorderKernel()
: <a class="el" href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml#ad22d0bc4356a4068c244952df68fd5c7">CLFillBorderKernel</a>
</li>
<li>~CLGaussianPyramid()
: <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#afafbe10da580ab0f3105947cb4a383ac">CLGaussianPyramid</a>
</li>
<li>~CLGaussianPyramidHorKernel()
: <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#aff3525c5fcfeb85912814c1bbbaf0835">CLGaussianPyramidHorKernel</a>
</li>
<li>~CLGaussianPyramidVertKernel()
: <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#abc1512876a55b624d62f83b64efde7dd">CLGaussianPyramidVertKernel</a>
</li>
<li>~CLHarrisScoreKernel()
: <a class="el" href="classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a2f0d90733f4575c7aca61716a655537e">CLHarrisScoreKernel</a>
</li>
<li>~CLHOGBlockNormalizationKernel()
: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a0325a66cc953500b923a173c049f19ef">CLHOGBlockNormalizationKernel</a>
</li>
<li>~CLHOGDetector()
: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_detector.xhtml#a0afb7ef9fbe6f4711284df081a88779b">CLHOGDetector</a>
</li>
<li>~CLHOGDetectorKernel()
: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#a783ce2295ff8e64e4dd3d0ebaa54ed69">CLHOGDetectorKernel</a>
</li>
<li>~CLHOGOrientationBinningKernel()
: <a class="el" href="classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a71fb71d3440ccf4fbdf912c42ef18614">CLHOGOrientationBinningKernel</a>
</li>
<li>~CLLutAllocator()
: <a class="el" href="classarm__compute_1_1_c_l_lut_allocator.xhtml#a864b976ba255c0cd2e1e2a848c89f4a3">CLLutAllocator</a>
</li>
<li>~CLPoolingLayerKernel()
: <a class="el" href="classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#afcd410341247696c0569a1499407c39b">CLPoolingLayerKernel</a>
</li>
<li>~CLSobel3x3Kernel()
: <a class="el" href="classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a95501c3f5d09ada6ea151f08fff6d120">CLSobel3x3Kernel</a>
</li>
<li>~CLSobel5x5HorKernel()
: <a class="el" href="classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a6c123393267557301f2549114112d414">CLSobel5x5HorKernel</a>
</li>
<li>~CLSobel5x5VertKernel()
: <a class="el" href="classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#ad88337f2cf8d90a2a9106d80c3807873">CLSobel5x5VertKernel</a>
</li>
<li>~CLSobel7x7HorKernel()
: <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#aedbb8258b41802dfffc61690f890bd1b">CLSobel7x7HorKernel</a>
</li>
<li>~CLSobel7x7VertKernel()
: <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#ad22bc492781a9536130d81344e26b1b7">CLSobel7x7VertKernel</a>
</li>
<li>~CLSubTensor()
: <a class="el" href="classarm__compute_1_1_c_l_sub_tensor.xhtml#a3f3d38e602db0a6af8ac5e932d798617">CLSubTensor</a>
</li>
<li>~CLTensorAllocator()
: <a class="el" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#ac9bc36cf09ac63f2a33baafd3a0ef159">CLTensorAllocator</a>
</li>
<li>~CLWeightsReshapeKernel()
: <a class="el" href="classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#aa453358063eaac09ae587e87aacff69a">CLWeightsReshapeKernel</a>
</li>
<li>~CNNDataTypes()
: <a class="el" href="classarm__compute_1_1test_1_1_c_n_n_data_types.xhtml#a9a3d919198982de98ca96e9190594536">CNNDataTypes</a>
</li>
<li>~CNNFixedPointDataTypes()
: <a class="el" href="classarm__compute_1_1test_1_1_c_n_n_fixed_point_data_types.xhtml#a3550b2ceec442576fe86fbaf62605de3">CNNFixedPointDataTypes</a>
</li>
<li>~CNNFloatDataTypes()
: <a class="el" href="classarm__compute_1_1test_1_1_c_n_n_float_data_types.xhtml#a7d5d498e36791d4618c7cf7aeb270c0e">CNNFloatDataTypes</a>
</li>
<li>~Coordinates()
: <a class="el" href="classarm__compute_1_1_coordinates.xhtml#a71e1d115c447afe4c2ee05f3541be118">Coordinates</a>
</li>
<li>~CPPCornerCandidatesKernel()
: <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a208c06a1b38f317679a9d5658020d907">CPPCornerCandidatesKernel</a>
</li>
<li>~FixedPointDataTypes()
: <a class="el" href="classarm__compute_1_1test_1_1_fixed_point_data_types.xhtml#a65378a6c862e02224b5d2d050fcc73e8">FixedPointDataTypes</a>
</li>
<li>~FloatDataTypes()
: <a class="el" href="classarm__compute_1_1test_1_1_float_data_types.xhtml#af862580923b40426ecce0d19c4c699ae">FloatDataTypes</a>
</li>
<li>~GoogLeNetActivationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_activation_layer_dataset.xhtml#a8874c687fb370a0843884113012166c4">GoogLeNetActivationLayerDataset</a>
</li>
<li>~GoogLeNetConvolutionLayerDataset1()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_convolution_layer_dataset1.xhtml#a91dd6c151995f04af9bb989672c2954c">GoogLeNetConvolutionLayerDataset1</a>
</li>
<li>~GoogLeNetConvolutionLayerDataset2()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_convolution_layer_dataset2.xhtml#af5e48483dea59a5e9aa73232066ca781">GoogLeNetConvolutionLayerDataset2</a>
</li>
<li>~GoogLeNetFullyConnectedLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_fully_connected_layer_dataset.xhtml#a4f39d63571a446b64e9cd879c5702e3b">GoogLeNetFullyConnectedLayerDataset</a>
</li>
<li>~GoogLeNetGEMMDataset1()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_g_e_m_m_dataset1.xhtml#a89d2ea188cc4a939e1c44d41612150d3">GoogLeNetGEMMDataset1</a>
</li>
<li>~GoogLeNetGEMMDataset2()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_g_e_m_m_dataset2.xhtml#af6d3a191acefa66a9c5b61f580aba0ca">GoogLeNetGEMMDataset2</a>
</li>
<li>~GoogLeNetNormalizationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset.xhtml#af3ad13a4c004b8bf70c8d7f9d11930d7">GoogLeNetNormalizationLayerDataset</a>
</li>
<li>~GoogLeNetPoolingLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_pooling_layer_dataset.xhtml#aaa9cb5f826d3980485434984617f7ddf">GoogLeNetPoolingLayerDataset</a>
</li>
<li>~HOGInfo()
: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#ada121d63992678a09e1b3db5a2002bfa">HOGInfo</a>
</li>
<li>~IAccessor()
: <a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a77512ec3cce8548d2b647d89f9bcfe7b">IAccessor</a>
</li>
<li>~IAccessWindow()
: <a class="el" href="classarm__compute_1_1_i_access_window.xhtml#abc3996ab36cfa27811d661debfca5b5f">IAccessWindow</a>
</li>
<li>~IArray()
: <a class="el" href="classarm__compute_1_1_i_array.xhtml#acaeb87c4bcccaf15bb25bd2c8e44658a">IArray&lt; T &gt;</a>
</li>
<li>~ICLArray()
: <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml#a0c95f444049eea7c7d14f6fd57ef40a1">ICLArray&lt; T &gt;</a>
</li>
<li>~ICLHOG()
: <a class="el" href="classarm__compute_1_1_i_c_l_h_o_g.xhtml#a4f666198e882c54ee00dd2d7c5407df2">ICLHOG</a>
</li>
<li>~ICLSimpleKernel()
: <a class="el" href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a0038fc9fcfaba0b247991f74395ef0fa">ICLSimpleKernel</a>
</li>
<li>~ICLTensor()
: <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml#aa0bce17c5cd01f2b45cc59afd615913e">ICLTensor</a>
</li>
<li>~ICPPKernel()
: <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">ICPPKernel</a>
</li>
<li>~ICPPSimpleKernel()
: <a class="el" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a819c40bc2449e5c47178bb34680256b8">ICPPSimpleKernel</a>
</li>
<li>~IDistribution()
: <a class="el" href="classarm__compute_1_1_i_distribution.xhtml#a9ee18d758810dbcfb1c9717956f51c38">IDistribution</a>
</li>
<li>~IFunction()
: <a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">IFunction</a>
</li>
<li>~IHOG()
: <a class="el" href="classarm__compute_1_1_i_h_o_g.xhtml#a758ea1a393875c05d2c869ddeefd0dd6">IHOG</a>
</li>
<li>~IKernel()
: <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">IKernel</a>
</li>
<li>~ILut()
: <a class="el" href="classarm__compute_1_1_i_lut.xhtml#ab90dd1556851ce4b6b1529dfb9107f68">ILut</a>
</li>
<li>~ILutAllocator()
: <a class="el" href="classarm__compute_1_1_i_lut_allocator.xhtml#a9c34313e5cddaebce855b939e42efc32">ILutAllocator</a>
</li>
<li>~IMeasurement()
: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_instrument_1_1_i_measurement.xhtml#a9b34c050433137679099116e318f2e4a">Instrument::IMeasurement</a>
</li>
<li>~IMultiHOG()
: <a class="el" href="classarm__compute_1_1_i_multi_h_o_g.xhtml#a6698fe6d38d2bb18553ae37a5d1aa42c">IMultiHOG</a>
</li>
<li>~IMultiImage()
: <a class="el" href="classarm__compute_1_1_i_multi_image.xhtml#a52c8ee0f7ff87c20c213bf2860729ea0">IMultiImage</a>
</li>
<li>~INEHarrisScoreKernel()
: <a class="el" href="classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#af74d3413c9011d560c8a572037f4df9b">INEHarrisScoreKernel</a>
</li>
<li>~Instrument()
: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_instrument.xhtml#a7bd8541cf37e6c439d4a6bf7296437a2">Instrument</a>
</li>
<li>~IPyramid()
: <a class="el" href="classarm__compute_1_1_i_pyramid.xhtml#a2925d59af502d059fcb2326a6ada7867">IPyramid</a>
</li>
<li>~IScheduler()
: <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a6d209385481644d97e7ca96072b73eb8">IScheduler</a>
</li>
<li>~ITensor()
: <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a4aa2df36743089ac6814d83e7d4b7ffc">ITensor</a>
</li>
<li>~ITensorAllocator()
: <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#a8378fc6c887231765b885f8033c7bb99">ITensorAllocator</a>
</li>
<li>~ITensorInfo()
: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad998b50febf68540277e121a9c670bfa">ITensorInfo</a>
</li>
<li>~LargeFullyConnectedLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_large_fully_connected_layer_dataset.xhtml#ae575db5478672e92335fa67cc0052ef1">LargeFullyConnectedLayerDataset</a>
</li>
<li>~LargeGEMMDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_large_g_e_m_m_dataset.xhtml#abee6a3f8ecffa1a0783286ca27049a52">LargeGEMMDataset</a>
</li>
<li>~LeNet5ActivationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_le_net5_activation_layer_dataset.xhtml#a19ab0221be71e7ce6013048e9df658a2">LeNet5ActivationLayerDataset</a>
</li>
<li>~LeNet5ConvolutionLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_le_net5_convolution_layer_dataset.xhtml#a9d60f79d015b1fc5a4361b12aea436cf">LeNet5ConvolutionLayerDataset</a>
</li>
<li>~LeNet5FullyConnectedLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_le_net5_fully_connected_layer_dataset.xhtml#a8874cb121830c9c22299747cb4fb2f53">LeNet5FullyConnectedLayerDataset</a>
</li>
<li>~LeNet5PoolingLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_le_net5_pooling_layer_dataset.xhtml#a1c9f63caf17231273ca80ea3eda96d39">LeNet5PoolingLayerDataset</a>
</li>
<li>~NEAbsoluteDifferenceKernel()
: <a class="el" href="classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a8f920e3071a96d1cb1bf77dabced479e">NEAbsoluteDifferenceKernel</a>
</li>
<li>~NEArithmeticAdditionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a9a168f182be423014aa67a334323dfd8">NEArithmeticAdditionKernel</a>
</li>
<li>~NEArithmeticSubtractionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#aeb20f5092b85fd6c9a4deb6e59de7c03">NEArithmeticSubtractionKernel</a>
</li>
<li>~NEBatchNormalizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a5d323c6ced8450d0d3d76f5f58952a72">NEBatchNormalizationLayerKernel</a>
</li>
<li>~NEChannelCombineKernel()
: <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a3b991bc19cdd8e7fb06de869a43c7799">NEChannelCombineKernel</a>
</li>
<li>~NEChannelExtractKernel()
: <a class="el" href="classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a34e1049bf124f489f14b86b8a8852597">NEChannelExtractKernel</a>
</li>
<li>~NECol2ImKernel()
: <a class="el" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a4a5859db6d2635061ce55c1ddfdc734b">NECol2ImKernel</a>
</li>
<li>~NEColorConvertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a0debe4186682c7d37935e3284dae5c09">NEColorConvertKernel</a>
</li>
<li>~NEDepthConcatenateKernel()
: <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_kernel.xhtml#a98364fa112ac505c1b5f9abccd11051f">NEDepthConcatenateKernel</a>
</li>
<li>~NEDirectConvolutionLayerBiasAccumulateKernel()
: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_bias_accumulate_kernel.xhtml#a0122bbcf061f48771f9513fdbfd50131">NEDirectConvolutionLayerBiasAccumulateKernel</a>
</li>
<li>~NEDirectConvolutionLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a59e6b01f2562366f54106175432079a0">NEDirectConvolutionLayerKernel</a>
</li>
<li>~NEEdgeNonMaxSuppressionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a78bad28117e1cbaaaf02a131a1a1400f">NEEdgeNonMaxSuppressionKernel</a>
</li>
<li>~NEEdgeTraceKernel()
: <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a63a533746b32a68c6ab1610c3a4823e6">NEEdgeTraceKernel</a>
</li>
<li>~NEFillArrayKernel()
: <a class="el" href="classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a1885e2bee760c881e4d8bc5747bb3200">NEFillArrayKernel</a>
</li>
<li>~NEFillBorderKernel()
: <a class="el" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml#ac68288caf6a7f15d12519e1a12161983">NEFillBorderKernel</a>
</li>
<li>~NEFillInnerBorderKernel()
: <a class="el" href="classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a2a4252d6ad42d3828955547d4dce0c21">NEFillInnerBorderKernel</a>
</li>
<li>~NEGaussianPyramid()
: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#af34c199e11afef4c68af773a9fd40150">NEGaussianPyramid</a>
</li>
<li>~NEGaussianPyramidHorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#aa5030ad8be9a77dadfd6bca436fd16ad">NEGaussianPyramidHorKernel</a>
</li>
<li>~NEGaussianPyramidVertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a335e126153ef3b664bf56c3e8ad143de">NEGaussianPyramidVertKernel</a>
</li>
<li>~NEGEMMMatrixAccumulateBiasesKernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#af26cd032cee8d8d035b8d5e52422f397">NEGEMMMatrixAccumulateBiasesKernel</a>
</li>
<li>~NEGradientKernel()
: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#aec72e1144d2cb538834aa369232de727">NEGradientKernel</a>
</li>
<li>~NEHistogramKernel()
: <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#a4983480fbaa765aea4052cf5c28bf60e">NEHistogramKernel</a>
</li>
<li>~NEHOGBlockNormalizationKernel()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a868e84205d6f33fc9bc1a24834752839">NEHOGBlockNormalizationKernel</a>
</li>
<li>~NEHOGDetectorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ac8fd84865e94c9be09c574eb9abdfde6">NEHOGDetectorKernel</a>
</li>
<li>~NEHOGOrientationBinningKernel()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a369c98c8c9f95122e658eed5f1a55491">NEHOGOrientationBinningKernel</a>
</li>
<li>~NEIm2ColKernel()
: <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#acaa705664e19820e28eb86f7737a98ba">NEIm2ColKernel</a>
</li>
<li>~NELKTrackerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab32b5b543a39437043fd3e6df25ec574">NELKTrackerKernel</a>
</li>
<li>~NELogits1DNormKernel()
: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a1a9bde295eb0b6174872ebc9477a9b4d">NELogits1DNormKernel</a>
</li>
<li>~NELogits1DShiftExpSumKernel()
: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a095126899a98519c75faf03ec9fa5762">NELogits1DShiftExpSumKernel</a>
</li>
<li>~NEMagnitudePhaseFP16Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_f_p16_kernel.xhtml#ad0c0a6e7ff2041d8c7d2eba5261c3e84">NEMagnitudePhaseFP16Kernel&lt; mag_type, phase_type &gt;</a>
</li>
<li>~NEMagnitudePhaseKernel()
: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a1bd4859d9eadb11c47c40235e2b4d044">NEMagnitudePhaseKernel&lt; mag_type, phase_type &gt;</a>
</li>
<li>~NEMeanStdDevKernel()
: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ad18b8df3b46973ddb4196f5b31ef5356">NEMeanStdDevKernel</a>
</li>
<li>~NEMinMaxKernel()
: <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a84d717a70410510f56d4ed3ac2db60b1">NEMinMaxKernel</a>
</li>
<li>~NEMinMaxLocationKernel()
: <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a6ec01aa0ce619004282347747efb471e">NEMinMaxLocationKernel</a>
</li>
<li>~NENonMaximaSuppression3x3Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a1bbd53ef4af62c130e01677bbabdf145">NENonMaximaSuppression3x3Kernel</a>
</li>
<li>~NENormalizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#adf3fc8e343c72544d6881066bab7fc8a">NENormalizationLayerKernel</a>
</li>
<li>~NEPixelWiseMultiplicationKernel()
: <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab299ab73ca304f9e10359a54a763f4d3">NEPixelWiseMultiplicationKernel</a>
</li>
<li>~NEPoolingLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a3ce56b044278a877edbef5cff1768124">NEPoolingLayerKernel</a>
</li>
<li>~NERemapKernel()
: <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#a6765950fc203ca7413dd78271664c779">NERemapKernel</a>
</li>
<li>~NEScaleKernel()
: <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#a20422dd80d0c568f0c07730923a0d8d0">NEScaleKernel</a>
</li>
<li>~NEScharr3x3Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a40d29ef4a881c7f54f2c5ac7e59500fb">NEScharr3x3Kernel</a>
</li>
<li>~NESobel3x3Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#aff65aac9947b796380e33bc82a9795b5">NESobel3x3Kernel</a>
</li>
<li>~NESobel5x5HorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a9905eef5888d96ccddf9788adfadfcfb">NESobel5x5HorKernel</a>
</li>
<li>~NESobel5x5VertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#af8c29da1f0b11bd359b1574fbf86c1c8">NESobel5x5VertKernel</a>
</li>
<li>~NESobel7x7HorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ad4bba8f7619ade93cc4220dbcc72c35a">NESobel7x7HorKernel</a>
</li>
<li>~NESobel7x7VertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab4a932c9b556528a0de4fdf1afda7f8a">NESobel7x7VertKernel</a>
</li>
<li>~NETransposeKernel()
: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#ad93ab145c1014c9cd71ba6612df96b3c">NETransposeKernel</a>
</li>
<li>~NEWeightsReshapeKernel()
: <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a7337b121d4f8ca7978ed617297e6397b">NEWeightsReshapeKernel</a>
</li>
<li>~PyramidInfo()
: <a class="el" href="classarm__compute_1_1_pyramid_info.xhtml#a443529237e92a4364aaf662644dfc686">PyramidInfo</a>
</li>
<li>~RandomBatchNormalizationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_random_batch_normalization_layer_dataset.xhtml#a7d34f6b51eb580645c3aacd0c3708da3">RandomBatchNormalizationLayerDataset</a>
</li>
<li>~RandomPoolingLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_random_pooling_layer_dataset.xhtml#aafc364e22c9581ac9cdeca3c4cda3080">RandomPoolingLayerDataset</a>
</li>
<li>~RawTensor()
: <a class="el" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a1ab8156de913df911b4ad1ad46f51313">RawTensor</a>
</li>
<li>~SignedDataTypes()
: <a class="el" href="classarm__compute_1_1test_1_1_signed_data_types.xhtml#a6e3d3a40bde7f7da3e516bb5cdb7de4f">SignedDataTypes</a>
</li>
<li>~SmallConvolutionLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_small_convolution_layer_dataset.xhtml#a30e5a9ebd4aae8861c4d62a663ce5b34">SmallConvolutionLayerDataset</a>
</li>
<li>~SmallFullyConnectedLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_small_fully_connected_layer_dataset.xhtml#ab4240f6c22f858dd2a04d85938b6c196">SmallFullyConnectedLayerDataset</a>
</li>
<li>~SmallGEMMDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_small_g_e_m_m_dataset.xhtml#a67198a38c3257dac66f1d064a87741a3">SmallGEMMDataset</a>
</li>
<li>~Steps()
: <a class="el" href="classarm__compute_1_1_steps.xhtml#a48c1f75c6cf7bdb28eeec6a795c5cf0d">Steps</a>
</li>
<li>~Strides()
: <a class="el" href="classarm__compute_1_1_strides.xhtml#a64d502a8edb06439f9e095f92f99c227">Strides</a>
</li>
<li>~SubTensor()
: <a class="el" href="classarm__compute_1_1_sub_tensor.xhtml#af1fc5900259cbc0bc26c9e6e28bb49b6">SubTensor</a>
</li>
<li>~SubTensorInfo()
: <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#ad86e6a6af47f1b493eac9873f88b843f">SubTensorInfo</a>
</li>
<li>~Tensor()
: <a class="el" href="classarm__compute_1_1_tensor.xhtml#ae55ef806b29ad70cd952e2c1508715ae">Tensor</a>
, <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_tensor.xhtml#ae55ef806b29ad70cd952e2c1508715ae">Tensor&lt; T &gt;</a>
</li>
<li>~TensorInfo()
: <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4eb5913c3ce5fe2bcbaafd8c9224d384">TensorInfo</a>
</li>
<li>~TensorShape()
: <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a29ff524f0e3378fb25a8447bdeed6ba9">TensorShape</a>
</li>
<li>~ThresholdDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_threshold_dataset.xhtml#a942af256b5fbe87198c1ed6aa5ff69f6">ThresholdDataset</a>
</li>
<li>~UnsignedDataTypes()
: <a class="el" href="classarm__compute_1_1test_1_1_unsigned_data_types.xhtml#a1eeb0250a1e711c6a9cfcec4c8998994">UnsignedDataTypes</a>
</li>
<li>~ValidRegion()
: <a class="el" href="structarm__compute_1_1_valid_region.xhtml#a79da8c24f26e8107822842a008b3fc76">ValidRegion</a>
</li>
</ul>
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