commit 975dfe175e3d7c62c27598b1c0e8e77ed90df463
author Jenkins <bsgcomp@arm.com> Mon Sep 02 11:47:54 2019 +0100
committer Jenkins <bsgcomp@arm.com> Mon Sep 02 11:47:54 2019 +0100
tree 3a7a8bd660c08b4b2ba68ed6a260ac2dd440c3ad
parent 4ba87dbdc3b22220eba4a792c1f5c87e7a88c7af

arm_compute v19.08

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diff --git a/documentation/search/all_1.js b/documentation/search/all_1.js
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index 3de71fa..9451188 100644
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documentation/search/all_13.js

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index ac48a2c..1250aef 100644
--- a/documentation/search/all_13.js
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   ['vsetqlane_5fimpl_5f4',['VSETQLANE_IMPL_4',['../setlane_8h.xhtml#a3788c6fe956c28499c7a85320577272f',1,'setlane.h']]],
   ['vsetqlane_5fimpl_5f8',['VSETQLANE_IMPL_8',['../setlane_8h.xhtml#ae8ae0c37fd3616c92db03637452aaa53',1,'setlane.h']]],
+  ['vsin',['vsin',['../namespacearm__compute_1_1wrapper.xhtml#ac57024ac39a9f06f1e5bb37807c0e362',1,'arm_compute::wrapper']]],
+  ['vsin_5ff32',['vsin_f32',['../namespacearm__compute.xhtml#aa9648abfe8fa6a9f3dab23ec9f55e2f1',1,'arm_compute']]],
+  ['vsin_5fimpl',['VSIN_IMPL',['../sin_8h.xhtml#a9af2977980a3ee828daea35444a00677',1,'sin.h']]],
+  ['vsinq_5ff32',['vsinq_f32',['../namespacearm__compute.xhtml#a5b6eb5a8c8e8944d781892928f71a698',1,'arm_compute']]],
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documentation/search/all_18.js

diff --git a/documentation/search/all_18.js b/documentation/search/all_18.js
index fe64451..152a1b0 100644
--- a/documentation/search/all_18.js
+++ b/documentation/search/all_18.js
@@ -53,7 +53,7 @@
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-  ['window',['Window',['../classarm__compute_1_1_window.xhtml',1,'Window'],['../classarm__compute_1_1_window.xhtml#ab242a9d3683ac8f480f7944ff6f40534',1,'arm_compute::Window::Window()'],['../classarm__compute_1_1_window.xhtml#ae65e2546322a23806510364033bc8fcd',1,'arm_compute::Window::Window(const Window &src)'],['../classarm__compute_1_1_i_distribution1_d.xhtml#a37a51d76966b92a45375e074e0ea0204',1,'arm_compute::IDistribution1D::window()'],['../classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6',1,'arm_compute::IKernel::window()']]],
+  ['window',['Window',['../classarm__compute_1_1_window.xhtml',1,'Window'],['../classarm__compute_1_1_i_distribution1_d.xhtml#a37a51d76966b92a45375e074e0ea0204',1,'arm_compute::IDistribution1D::window()'],['../classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6',1,'arm_compute::IKernel::window()'],['../classarm__compute_1_1_window.xhtml#ab242a9d3683ac8f480f7944ff6f40534',1,'arm_compute::Window::Window()'],['../classarm__compute_1_1_window.xhtml#ae65e2546322a23806510364033bc8fcd',1,'arm_compute::Window::Window(const Window &src)']]],
   ['window_2eh',['Window.h',['../_window_8h.xhtml',1,'']]],
   ['window_2einl',['Window.inl',['../_window_8inl.xhtml',1,'']]],
   ['window_5fdimension',['window_dimension',['../structarm__compute_1_1_optical_flow_parameters.xhtml#aca4f010655c8e5534162dfbfdce31d84',1,'arm_compute::OpticalFlowParameters']]],
@@ -74,6 +74,9 @@
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   ['winogradinfo',['WinogradInfo',['../structarm__compute_1_1_winograd_info.xhtml',1,'WinogradInfo'],['../structarm__compute_1_1_winograd_info.xhtml#af8cfb6ab1e028484d875995bf6c224e3',1,'arm_compute::WinogradInfo::WinogradInfo()']]],
   ['winogradtransformtype',['WinogradTransformType',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5d19c046f7c6ca24d067312183e8871e',1,'arm_compute::test::validation::reference']]],
+  ['with_5fbeta_5fvalues',['with_beta_values',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7785b48a5062d371135a6b1f1c85e33f',1,'arm_compute::test::validation']]],
+  ['with_5fbias_5fvalues',['with_bias_values',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6b0d880c2e5703be4c980e615eead21',1,'arm_compute::test::validation']]],
+  ['with_5fgamma_5fvalues',['with_gamma_values',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2003cb0c7c7fcf7ebeaa0e5cdc64c1e3',1,'arm_compute::test::validation']]],
   ['workload',['Workload',['../classarm__compute_1_1_i_scheduler.xhtml#a4cdc00a99619ba76bf79a466cb85d4da',1,'arm_compute::IScheduler']]],
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   ['workload_2eh',['Workload.h',['../_workload_8h.xhtml',1,'']]],

documentation/search/all_1c.js

diff --git a/documentation/search/all_1c.js b/documentation/search/all_1c.js
index ebc35d9..b07f20b 100644
--- a/documentation/search/all_1c.js
+++ b/documentation/search/all_1c.js
@@ -9,6 +9,7 @@
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   ['_7eclactivationlayerkernel',['~CLActivationLayerKernel',['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a181f365021a9a09d59233ba388d34e04',1,'arm_compute::CLActivationLayerKernel']]],
   ['_7eclarrayaccessor',['~CLArrayAccessor',['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a2a37710fa81773bdbf719162c10f2309',1,'arm_compute::test::CLArrayAccessor']]],
+  ['_7eclbatchconcatenatelayerkernel',['~CLBatchConcatenateLayerKernel',['../classarm__compute_1_1_c_l_batch_concatenate_layer_kernel.xhtml#a6ebc652f50352f8c80663ea7e107d1ec',1,'arm_compute::CLBatchConcatenateLayerKernel']]],
   ['_7eclbatchnormalizationlayerkernel',['~CLBatchNormalizationLayerKernel',['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#aafb7a9f7e113cbb1f93dd030a4994b4a',1,'arm_compute::CLBatchNormalizationLayerKernel']]],
   ['_7eclbatchtospacelayerkernel',['~CLBatchToSpaceLayerKernel',['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a7d732f47b911ef028720ac10eaf8d401',1,'arm_compute::CLBatchToSpaceLayerKernel']]],
   ['_7eclboundingboxtransformkernel',['~CLBoundingBoxTransformKernel',['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a0b9f2125ad5283c09f6ec63910aa7121',1,'arm_compute::CLBoundingBoxTransformKernel']]],
@@ -26,6 +27,7 @@
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   ['_7ecldeconvolutionreshapeoutputkernel',['~CLDeconvolutionReshapeOutputKernel',['../classarm__compute_1_1_c_l_deconvolution_reshape_output_kernel.xhtml#af9f2e0af65dd5410eeed5f11e99a99f0',1,'arm_compute::CLDeconvolutionReshapeOutputKernel']]],
   ['_7ecldepthconcatenatelayerkernel',['~CLDepthConcatenateLayerKernel',['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#ac0005a72b0a709d73612b1f7b8118d3e',1,'arm_compute::CLDepthConcatenateLayerKernel']]],
+  ['_7ecldepthtospacelayerkernel',['~CLDepthToSpaceLayerKernel',['../classarm__compute_1_1_c_l_depth_to_space_layer_kernel.xhtml#a5923b3d5237d3a4473b449a59fdb1086',1,'arm_compute::CLDepthToSpaceLayerKernel']]],
   ['_7ecldequantizationlayerkernel',['~CLDequantizationLayerKernel',['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#ad739052d31399013f0cf01b376c442cc',1,'arm_compute::CLDequantizationLayerKernel']]],
   ['_7eclderivativekernel',['~CLDerivativeKernel',['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a83d38310c15f7b92264b5403ddd0bbda',1,'arm_compute::CLDerivativeKernel']]],
   ['_7ecldevicebackend',['~CLDeviceBackend',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#a27f45725c45a61e5a1f4650bd23e25c4',1,'arm_compute::graph::backends::CLDeviceBackend']]],
@@ -58,6 +60,7 @@
   ['_7ecllwslistnormal',['~CLLWSListNormal',['../classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list_normal.xhtml#acee58afe747654ea797bcca9e1ced497',1,'arm_compute::cl_tuner::CLLWSListNormal']]],
   ['_7ecllwslistrapid',['~CLLWSListRapid',['../classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list_rapid.xhtml#a0d7e307cb433ecbb640212ef90a50489',1,'arm_compute::cl_tuner::CLLWSListRapid']]],
   ['_7eclmeanstddev',['~CLMeanStdDev',['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#af47c26d33b75335dd72b535607514a45',1,'arm_compute::CLMeanStdDev']]],
+  ['_7eclmeanstddevnormalizationkernel',['~CLMeanStdDevNormalizationKernel',['../classarm__compute_1_1_c_l_mean_std_dev_normalization_kernel.xhtml#a026e5d502911b3914170e38f690df216',1,'arm_compute::CLMeanStdDevNormalizationKernel']]],
   ['_7eclmemsetkernel',['~CLMemsetKernel',['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a0ccf00f98e1d0cfb77952eb982830e87',1,'arm_compute::CLMemsetKernel']]],
   ['_7eclnormalizeplanaryuvlayerkernel',['~CLNormalizePlanarYUVLayerKernel',['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#a460e3d967d53af0f3867463a182f4c3c',1,'arm_compute::CLNormalizePlanarYUVLayerKernel']]],
   ['_7eclpoolinglayerkernel',['~CLPoolingLayerKernel',['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#afcd410341247696c0569a1499407c39b',1,'arm_compute::CLPoolingLayerKernel']]],
@@ -77,6 +80,7 @@
   ['_7eclsobel7x7vertkernel',['~CLSobel7x7VertKernel',['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#ad22bc492781a9536130d81344e26b1b7',1,'arm_compute::CLSobel7x7VertKernel']]],
   ['_7eclspacetobatchlayer',['~CLSpaceToBatchLayer',['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#aca2631498d8a5041bc794e4d6a78f890',1,'arm_compute::CLSpaceToBatchLayer']]],
   ['_7eclspacetobatchlayerkernel',['~CLSpaceToBatchLayerKernel',['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#aec90e410affbc5f218f87fd6ca0b869a',1,'arm_compute::CLSpaceToBatchLayerKernel']]],
+  ['_7eclspacetodepthlayerkernel',['~CLSpaceToDepthLayerKernel',['../classarm__compute_1_1_c_l_space_to_depth_layer_kernel.xhtml#ae87c602c401d2b0e2c88a38e0d6d73a1',1,'arm_compute::CLSpaceToDepthLayerKernel']]],
   ['_7eclstacklayerkernel',['~CLStackLayerKernel',['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a4c84a3e30d19dbd4acf498cc5200f6fd',1,'arm_compute::CLStackLayerKernel']]],
   ['_7eclstridedslicekernel',['~CLStridedSliceKernel',['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a8e445e751c661bfd0fa9c44db41c1e7e',1,'arm_compute::CLStridedSliceKernel']]],
   ['_7eclsubtensor',['~CLSubTensor',['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a3f3d38e602db0a6af8ac5e932d798617',1,'arm_compute::CLSubTensor']]],
@@ -97,6 +101,7 @@
   ['_7ecoordinates',['~Coordinates',['../classarm__compute_1_1_coordinates.xhtml#a71e1d115c447afe4c2ee05f3541be118',1,'arm_compute::Coordinates']]],
   ['_7ecppcornercandidateskernel',['~CPPCornerCandidatesKernel',['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a208c06a1b38f317679a9d5658020d907',1,'arm_compute::CPPCornerCandidatesKernel']]],
   ['_7ecppflipweightskernel',['~CPPFlipWeightsKernel',['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a386f532b4098af731e2d4cc21c953540',1,'arm_compute::CPPFlipWeightsKernel']]],
+  ['_7ecppnonmaximumsuppressionkernel',['~CPPNonMaximumSuppressionKernel',['../classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#a5cc7d26dd5db03eb9ee2dd3f7f0926a9',1,'arm_compute::CPPNonMaximumSuppressionKernel']]],
   ['_7ecpppermutekernel',['~CPPPermuteKernel',['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ab1ee61e7cba8829906926ec41213dfdc',1,'arm_compute::CPPPermuteKernel']]],
   ['_7ecpptopkvkernel',['~CPPTopKVKernel',['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#aa71d71b48dc3b5e887a3acd7f2e1d928',1,'arm_compute::CPPTopKVKernel']]],
   ['_7ecppupsamplekernel',['~CPPUpsampleKernel',['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a54e158debdfed307691fef9de2124019',1,'arm_compute::CPPUpsampleKernel']]],
@@ -192,9 +197,11 @@
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   ['_7ememorygroupbase',['~MemoryGroupBase',['../classarm__compute_1_1_memory_group_base.xhtml#afa4d42fbf7f8e750b0b06994bcdf138c',1,'arm_compute::MemoryGroupBase']]],
   ['_7ememorygroupresourcescope',['~MemoryGroupResourceScope',['../classarm__compute_1_1_memory_group_resource_scope.xhtml#a21491a2d20822db81c534c7dfbb790cd',1,'arm_compute::MemoryGroupResourceScope']]],
+  ['_7emmappedfile',['~MMappedFile',['../classarm__compute_1_1utils_1_1mmap__io_1_1_m_mapped_file.xhtml#ae24171f52905cbf7fc249879e53f8336',1,'arm_compute::utils::mmap_io::MMappedFile']]],
   ['_7eneabsolutedifferencekernel',['~NEAbsoluteDifferenceKernel',['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a8f920e3071a96d1cb1bf77dabced479e',1,'arm_compute::NEAbsoluteDifferenceKernel']]],
   ['_7enearithmeticadditionkernel',['~NEArithmeticAdditionKernel',['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a9a168f182be423014aa67a334323dfd8',1,'arm_compute::NEArithmeticAdditionKernel']]],
   ['_7enearithmeticsubtractionkernel',['~NEArithmeticSubtractionKernel',['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#aeb20f5092b85fd6c9a4deb6e59de7c03',1,'arm_compute::NEArithmeticSubtractionKernel']]],
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+  ['clgemmlowpmatrixmultiplynative',['CLGEMMLowpMatrixMultiplyNative',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa258eb8b4e36499453ccc0b0a69b2cf2',1,'arm_compute::test::validation']]],
+  ['clgemmlowpmatrixmultiplynative3dfixture',['CLGEMMLowpMatrixMultiplyNative3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7e87135a3abb932470765e522a965e5',1,'arm_compute::test::validation']]],
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+  ['clmeanstddevnormalizationkernel_2eh',['CLMeanStdDevNormalizationKernel.h',['../_c_l_mean_std_dev_normalization_kernel_8h.xhtml',1,'']]],
+  ['clmeanstddevnormalizationlayer',['CLMeanStdDevNormalizationLayer',['../classarm__compute_1_1_c_l_mean_std_dev_normalization_layer.xhtml',1,'arm_compute']]],
+  ['clmeanstddevnormalizationlayer_2ecpp',['CLMeanStdDevNormalizationLayer.cpp',['../_c_l_mean_std_dev_normalization_layer_8cpp.xhtml',1,'']]],
+  ['clmeanstddevnormalizationlayer_2eh',['CLMeanStdDevNormalizationLayer.h',['../_c_l_mean_std_dev_normalization_layer_8h.xhtml',1,'']]],
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+  ['clneglayer',['CLNegLayer',['../classarm__compute_1_1_c_l_neg_layer.xhtml',1,'arm_compute']]],
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+  ['clprelulayer',['CLPReluLayer',['../classarm__compute_1_1_c_l_p_relu_layer.xhtml',1,'arm_compute']]],
+  ['clprelulayer_2ecpp',['CLPReluLayer.cpp',['../_c_l_p_relu_layer_8cpp.xhtml',1,'']]],
+  ['clprelulayer_2eh',['CLPReluLayer.h',['../_c_l_p_relu_layer_8h.xhtml',1,'']]],
+  ['clprelulayerbroadcastfixture',['CLPReluLayerBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b574c491863e1570f3caa4f06ace69e',1,'arm_compute::test::validation']]],
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+  ['clroundlayer',['CLRoundLayer',['../classarm__compute_1_1_c_l_round_layer.xhtml',1,'arm_compute']]],
+  ['clroundlayerfixture',['CLRoundLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6fa72922e26cb1b90722f1a957932e8',1,'arm_compute::test::validation']]],
+  ['clroundlayerfixture_3c_20float_20_3e',['CLRoundLayerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a677ab35f8a277c30bced579f412116cb',1,'arm_compute::test::validation']]],
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+  ['clsinlayer',['CLSinLayer',['../classarm__compute_1_1_c_l_sin_layer.xhtml',1,'arm_compute']]],
+  ['clsinlayerfixture',['CLSinLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac33bf30883f890f481e8dcbaead309df',1,'arm_compute::test::validation']]],
+  ['clsinlayerfixture_3c_20float_20_3e',['CLSinLayerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad378b5031ba1d0e993a9f93e49aa76bd',1,'arm_compute::test::validation']]],
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+  ['clspacetodepthlayer',['CLSpaceToDepthLayer',['../classarm__compute_1_1_c_l_space_to_depth_layer.xhtml',1,'CLSpaceToDepthLayer'],['../classarm__compute_1_1_c_l_space_to_depth_layer.xhtml#ab6c521c37a2109b7985b31dfcae4dd73',1,'arm_compute::CLSpaceToDepthLayer::CLSpaceToDepthLayer()']]],
+  ['clspacetodepthlayer_2ecpp',['CLSpaceToDepthLayer.cpp',['../_c_l_space_to_depth_layer_8cpp.xhtml',1,'']]],
+  ['clspacetodepthlayer_2eh',['CLSpaceToDepthLayer.h',['../_c_l_space_to_depth_layer_8h.xhtml',1,'']]],
+  ['clspacetodepthlayerfixture',['CLSpaceToDepthLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0c23b0170c87fec4d92c28e1dc41c3e',1,'arm_compute::test::validation']]],
+  ['clspacetodepthlayerfixture_3c_20half_20_3e',['CLSpaceToDepthLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a49f0efed577f294766455569ef682907',1,'arm_compute::test::validation']]],
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+  ['clspacetodepthlayerkernel_2ecpp',['CLSpaceToDepthLayerKernel.cpp',['../_c_l_space_to_depth_layer_kernel_8cpp.xhtml',1,'']]],
+  ['clspacetodepthlayerkernel_2eh',['CLSpaceToDepthLayerKernel.h',['../_c_l_space_to_depth_layer_kernel_8h.xhtml',1,'']]],
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1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make("Expected", { false, false, false, false, true})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99099c34e332efb70e1685e0f35833a4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, configure_dataset, shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a482f48e436d396077b8b6eef81b05dd8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 42U), 1, DataType::F16), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), })), framework::dataset::make("OriginalInput", { TensorShape(7U, 3U, 2U), TensorShape(7U, 3U, 2U), TensorShape(7U, 3U, 2U), TensorShape(7U, 3U, 2U), })), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NCHW, DataLayout::NCHW, DataLayout::UNKNOWN, })), framework::dataset::make("Expected", { false, true, false, false})), input_info, output_info, original_input_shape, data_layout, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a173d919e5152583a4b2b0ea82f937d47',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make("filter_size", { 3 })), shape, output_data_type, border_mode, filter_size)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20c992ef5f3ed415c1e5a5a3ab19287d',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 31U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 32U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32) }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 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2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0), PadStrideInfo(1, 1, 2, 2), PadStrideInfo(1, 1, 2, 2) })), framework::dataset::make("GpuTarget", { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST, GPUTarget::BIFROST, GPUTarget::BIFROST })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 1U), })), framework::dataset::make("EnableFastMath", { false, false, false, false, false, false, true, true })), framework::dataset::make("Expected",{ ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, enable_fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb065a41d5c0bce8f2e6434d622d1b0d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), GroupedCNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee35477d880f96a3452748151cef29ad',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(14U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(14U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), })), framework::dataset::make("Expected", { false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04e62cc8a8ee2c1853ae213dc465c9be',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::U8), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), }), framework::dataset::make("BoxesInfo",{ TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(3, 20), 1, DataType::F32), })), framework::dataset::make("BoxIndInfo",{ TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(10), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 10U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::S32), TensorInfo(TensorShape(5U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false, false, false, false, false})), input, boxes, box_ind, output, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad8f6001f985e608bdb27e40da2c29a1f',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make("PadStrideInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("ax", { 0U, 0U, 0U, 0U, 0U, })), framework::dataset::make("ay", { 0U, 0U, 0U, 0U, 1U, 0U, })), framework::dataset::make("Expected", { false, false, false, false, true, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378b53971fc5c47dc3205c5cbe769a24',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 3U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) }), framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(23U, 27U, 9U), 1, DataType::F16), TensorInfo(TensorShape(25U, 12U, 9U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 8U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 12U), 1, DataType::F32) })), framework::dataset::make("Expected", { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a308fdbbdd8acf151212546da812f9241',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 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input_info, output_info, policy, shift, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9716de1edbd47e39aea19510d8667dc7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed5f7a9b1bde3cc3a789cd674974e254',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1746a40504c1600cad5df8b24c2c928e',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 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DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37cb466fcacd191071bf2d6d4a1dba5e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, 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Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make("Expected", { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a484fa4160f71724020a18b1c8210fd11',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallDilatedConvolutionLayerDataset(), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b5e91ed93508f02f0d84f8647d70545',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, 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1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0661dab56621eb39f7ed24eef46dd71',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79eb81d07ea2905434fe6223387f46df',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76d69fa1a3a22e9db4eef7b062fc53aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::Small2DShapes(), 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TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F16), TensorInfo(TensorShape(16U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), })), framework::dataset::make("Axis", { 0, 0, 0, 2, 0, 0 })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f2fb01edb34ba6ddb05de976663c471',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 3, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F16), TensorInfo(TensorShape(16U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6977e5dada34102dfca07ad1bd3acc63',1,'arm_compute::test::validation::DATA_TEST_CASE(FillBorder, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::BorderModes()), BorderSizesDataset), PaddingSizesDataset), framework::dataset::make("DataType", DataType::U8)), shape, border_mode, size, padding, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3be02a001fd0ea7533670a5bc4bbfbff',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a44b43a2397a2845c12d9d56b727ef233',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), CNNDataTypes), src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3affe19462bcddbd9d6ca29c1e47594',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 231U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), })), framework::dataset::make("BiasInfo",{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), })), framework::dataset::make("TransposeWeights",{ true, true, false, true, true })), framework::dataset::make("ReshapedWeights",{ false, false, false, false, false})), framework::dataset::make("Expected", { false, true, true, false, false })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79ab40d66042668672184704ffc8b86e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), }), framework::dataset::make("IndicesInfo", { TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U8), TensorInfo(TensorShape(10U, 10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(10U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), })), framework::dataset::make("Axis", { 0, 1, -2, 0, 1, 0, 1, 2, -3, })), framework::dataset::make("Expected", { true, true, true, false, false, false, false, false, false })), input_info, indices_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ccc6ea082b6287dae84dde7ef79b14c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallGatherDataset(), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), input_shape, indices_shape, axis, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a370c6df0823b292ef89726547ce83cc0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, large_gaussian_pyramid_levels, shape, border_mode, 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DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32)})), framework::dataset::make("num_valid_proposals", { TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 10U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::F16)})), framework::dataset::make("generate_proposals_info", { GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f)})), framework::dataset::make("Expected", { true, false, false, false, false, false })), scores, deltas, anchors, proposals, scores_out, num_valid_proposals, generate_proposals_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c31e08a7ec435be0c95597312bdc876',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseAllAnchors, framework::DatasetMode::ALL, framework::dataset::make("DataType", { DataType::F32 }), data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0d8f91f0b1c186d8af5621eacd01594',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseGenerateProposals, framework::DatasetMode::ALL, combine(framework::dataset::make("DataType", { DataType::F32 }), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a52a920e879bf84c11e62764a9500c9',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data_nightly), framework::dataset::make("Format", Format::U8)), 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DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 2U, 1U), 1, DataType::QASYMM8), })), framework::dataset::make("HasBias", { true, true, true, false })), framework::dataset::make("Expected", { false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a48af4ac179552d400582f2f4178318f5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16), TensorInfo(TensorShape(256U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) })), framework::dataset::make("Axis", { 0U, 0U, 0U, 0U, static_cast< unsigned int >(TensorShape::num_max_dimensions), 3U, 0U })), framework::dataset::make("Expected", { false, false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a74612ce9f8b898bc171800b13fb3e2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_pyramid_levels), shape, border_mode, 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DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(1U, 3U, 5U, 21U, 575U), 1, DataType::F32) })), framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 575U), 1, DataType::F32) })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(23U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make("PadStride", { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 1, 0, 0) })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b7abb0d97c0768de8e5e1976cd2805',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make("DataType", DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff993409f5489af4dec6bea2971170d0',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(8U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), }), framework::dataset::make("InputWeightsInfo", { TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), })), framework::dataset::make("RecurrentWeightsInfo", { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), })), framework::dataset::make("CellBiasInfo", { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make("ProjectionBiasInfo", { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make("CellStateInfo", { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make("ScratchInfo", { TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(12U, 2U), 1, DataType::F32), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), 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framework::dataset::make("Expected", { ConvolutionMethod::WINOGRAD, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab44b66bad182905ba55f96ee494e8e73',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make("Expected", { false, false, true})), input_info, output_info, 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TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make("PadStrideInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("ax", { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make("ay", { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a925ebbdb984bd7de1e60ca47eb30502d',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U16), TensorInfo(TensorShape(32U, 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framework::dataset::make("Shift",{ 1, 1, 1, 1, 1, 1, 8, 1, })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, true})), input_info, output_info, policy, shift, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a542f3ac6e2b72fc1990b27519c9cf3f5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerZeroShiftDataset), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13906c8cbe4233df5fef380802decdd9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 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1U), Size2D(1U, 1U), Size2D(25U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3b2d5fd8f3b2e1f7b4cbafebb25e312',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(25U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11999ccf435b3a6fb0f2d378439184c4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), data_types), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4393002100019a1d2fe5a825aaf2a966',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(8U, 8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(6U, 6U, 1U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make("Dilation", { Size2D(1U, 2U), Size2D(2U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make("Expected", { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69ea3c5dd19aaf289330db00e8cd20a8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 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zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 31U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 32U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32) }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 31U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 32U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32) })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32) })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0), PadStrideInfo(1, 1, 2, 2), PadStrideInfo(1, 1, 2, 2) })), framework::dataset::make("GpuTarget", { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST, GPUTarget::BIFROST, GPUTarget::BIFROST })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 1U), })), framework::dataset::make("EnableFastMath", { false, false, false, false, false, false, true, true })), framework::dataset::make("Expected",{ ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, enable_fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb065a41d5c0bce8f2e6434d622d1b0d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), GroupedCNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee35477d880f96a3452748151cef29ad',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(14U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(14U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), })), framework::dataset::make("Expected", { false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04e62cc8a8ee2c1853ae213dc465c9be',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::U8), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), }), framework::dataset::make("BoxesInfo",{ TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(3, 20), 1, DataType::F32), })), framework::dataset::make("BoxIndInfo",{ TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(10), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 10U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::S32), TensorInfo(TensorShape(5U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false, false, false, false, false})), input, boxes, box_ind, output, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a09dfd649bde45b9abda8b839a0c84e1c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make("PadStrideInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378b53971fc5c47dc3205c5cbe769a24',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 3U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) }), framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(23U, 27U, 9U), 1, DataType::F16), TensorInfo(TensorShape(25U, 12U, 9U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 8U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 12U), 1, DataType::F32) })), framework::dataset::make("Expected", { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a308fdbbdd8acf151212546da812f9241',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U16), })), framework::dataset::make("Policy",{ ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, })), framework::dataset::make("Shift",{ 1, 1, 8, 1, 1, 1, })), framework::dataset::make("Expected", { false, false, false, false, false, true})), input_info, output_info, policy, shift, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9716de1edbd47e39aea19510d8667dc7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e4970f770f23aaa759017adf107da3e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 8U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make("BlockShape", { 2, 1, 2, 2, 2 })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 16U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(64U, 16U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false, false, false})), input_info, block_shape, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed5f7a9b1bde3cc3a789cd674974e254',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1746a40504c1600cad5df8b24c2c928e',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37cb466fcacd191071bf2d6d4a1dba5e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, 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expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a484fa4160f71724020a18b1c8210fd11',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallDilatedConvolutionLayerDataset(), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2984963251e0e13f3b22490d7d903c85',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), 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datasets::Large2DShapes()), framework::dataset::make("Format", Format::U8)), framework::dataset::make("SuppressNonMax", { false, true })), framework::dataset::make("BorderMode", BorderMode::UNDEFINED)), shape, format, suppress_nonmax, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ffb413e9772313766b4b43391198db1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(shapes_1d, data_types), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a125a57a33ba8fbeae87a14ce35b20112',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 3, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F16), TensorInfo(TensorShape(16U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), })), framework::dataset::make("Axis", { 0, 0, 0, 2, 0, 0 })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f2fb01edb34ba6ddb05de976663c471',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 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TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 231U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), })), framework::dataset::make("BiasInfo",{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), })), framework::dataset::make("TransposeWeights",{ true, true, false, true, true })), framework::dataset::make("ReshapedWeights",{ false, false, false, false, false})), framework::dataset::make("Expected", { false, true, true, false, false })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79ab40d66042668672184704ffc8b86e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), }), 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DataType::F32), })), framework::dataset::make("CellBiasInfo", { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make("ProjectionBiasInfo", { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make("CellStateInfo", { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), 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TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32) }), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32), TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32) })), framework::dataset::make("WinogradInfo", { WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 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diff --git a/documentation/search/all_6.js b/documentation/search/all_6.js
index b817811..efbb58a 100644
--- a/documentation/search/all_6.js
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diff --git a/documentation/search/all_7.js b/documentation/search/all_7.js
index 521c5c9..309106b 100644
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index e9eda7d..6c51d9e 100644
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+  ['gemm_5fhelpers_2eh',['gemm_helpers.h',['../gemm__helpers_8h.xhtml',1,'']]],
   ['gemm_5fhybrid_2ehpp',['gemm_hybrid.hpp',['../gemm__hybrid_8hpp.xhtml',1,'']]],
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--- a/documentation/search/all_9.js
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documentation/search/all_a.js

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+  ['necast',['NECast',['../classarm__compute_1_1_n_e_cast.xhtml',1,'arm_compute']]],
+  ['necast_2ecpp',['NECast.cpp',['../_n_e_cast_8cpp.xhtml',1,'']]],
+  ['necast_2eh',['NECast.h',['../_n_e_cast_8h.xhtml',1,'']]],
+  ['necasttof16fixture',['NECastToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af9ccd9e54a0c19db8d7f0c4a2c5ad359',1,'arm_compute::test::validation']]],
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+  ['nedepthtospacelayer',['NEDepthToSpaceLayer',['../classarm__compute_1_1_n_e_depth_to_space_layer.xhtml',1,'arm_compute']]],
+  ['nedepthtospacelayer_2ecpp',['NEDepthToSpaceLayer.cpp',['../_n_e_depth_to_space_layer_8cpp.xhtml',1,'']]],
+  ['nedepthtospacelayer_2eh',['NEDepthToSpaceLayer.h',['../_n_e_depth_to_space_layer_8h.xhtml',1,'']]],
+  ['nedepthtospacelayerfixture',['NEDepthToSpaceLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a77eb54508fb60c9b6c640afc615180fb',1,'arm_compute::test::validation']]],
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+  ['nedepthtospacelayerkernel_2ecpp',['NEDepthToSpaceLayerKernel.cpp',['../_n_e_depth_to_space_layer_kernel_8cpp.xhtml',1,'']]],
+  ['nedepthtospacelayerkernel_2eh',['NEDepthToSpaceLayerKernel.h',['../_n_e_depth_to_space_layer_kernel_8h.xhtml',1,'']]],
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+  ['nedepthwiseconvolutionlayerfixtureoptimized_3c_20float_20_3e',['NEDepthwiseConvolutionLayerFixtureOptimized< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a65395db56b0b4a213472d0c94e8bc972',1,'arm_compute::test::validation']]],
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+  ['nedepthwiseconvolutionlayernativefixture',['NEDepthwiseConvolutionLayerNativeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a21e5080dc0458025e9c643c2e520b149',1,'arm_compute::test::validation']]],
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+  ['nedepthwiseconvolutionlayernativekernel_2ecpp',['NEDepthwiseConvolutionLayerNativeKernel.cpp',['../_n_e_depthwise_convolution_layer_native_kernel_8cpp.xhtml',1,'']]],
+  ['nedepthwiseconvolutionlayernativekernel_2eh',['NEDepthwiseConvolutionLayerNativeKernel.h',['../_n_e_depthwise_convolution_layer_native_kernel_8h.xhtml',1,'']]],
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+  ['neelementwisepower',['NEElementwisePower',['../classarm__compute_1_1_n_e_elementwise_power.xhtml',1,'arm_compute']]],
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+  ['nemeanstddevnormalizationlayer',['NEMeanStdDevNormalizationLayer',['../classarm__compute_1_1_n_e_mean_std_dev_normalization_layer.xhtml',1,'arm_compute']]],
+  ['nemeanstddevnormalizationlayer_2ecpp',['NEMeanStdDevNormalizationLayer.cpp',['../_n_e_mean_std_dev_normalization_layer_8cpp.xhtml',1,'']]],
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index dea4447..516c349 100644
--- a/documentation/search/classes_13.js
+++ b/documentation/search/classes_13.js
@@ -1,5 +1,6 @@
 var searchData=
 [
+  ['savenumpyaccessor',['SaveNumPyAccessor',['../classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml',1,'arm_compute::graph_utils']]],
   ['scalelayer',['ScaleLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_scale_layer.xhtml',1,'arm_compute::graph::frontend']]],
   ['scheduler',['Scheduler',['../classarm__compute_1_1_scheduler.xhtml',1,'arm_compute']]],
   ['schedulerclock',['SchedulerClock',['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml',1,'arm_compute::test::framework']]],

documentation/search/classes_14.js

diff --git a/documentation/search/classes_14.js b/documentation/search/classes_14.js
index e35bf29..5c31a75 100644
--- a/documentation/search/classes_14.js
+++ b/documentation/search/classes_14.js
@@ -23,7 +23,6 @@
   ['threadinfo',['ThreadInfo',['../structarm__compute_1_1_thread_info.xhtml',1,'arm_compute']]],
   ['toggleoption',['ToggleOption',['../classarm__compute_1_1utils_1_1_toggle_option.xhtml',1,'arm_compute::utils']]],
   ['topnpredictionsaccessor',['TopNPredictionsAccessor',['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml',1,'arm_compute::graph_utils']]],
-  ['transformimpl',['TransformImpl',['../struct_transform_impl.xhtml',1,'']]],
   ['transposeinterleavecommon',['TransposeInterleaveCommon',['../struct_transpose_interleave_common.xhtml',1,'']]],
   ['tunerfactory',['TunerFactory',['../classarm__compute_1_1tuners_1_1_tuner_factory.xhtml',1,'arm_compute::tuners']]]
 ];

documentation/search/classes_15.js

diff --git a/documentation/search/classes_15.js b/documentation/search/classes_15.js
index bd1fe69..10ea997 100644
--- a/documentation/search/classes_15.js
+++ b/documentation/search/classes_15.js
@@ -1,6 +1,7 @@
 var searchData=
 [
   ['uniform_5freal_5fdistribution_5ffp16',['uniform_real_distribution_fp16',['../classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml',1,'arm_compute::utils']]],
+  ['uniformquantizationinfo',['UniformQuantizationInfo',['../structarm__compute_1_1_uniform_quantization_info.xhtml',1,'arm_compute']]],
   ['upsamplelayer',['UpsampleLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_upsample_layer.xhtml',1,'arm_compute::graph::frontend']]],
   ['upsamplelayernode',['UpsampleLayerNode',['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml',1,'arm_compute::graph']]]
 ];

documentation/search/classes_2.js

diff --git a/documentation/search/classes_2.js b/documentation/search/classes_2.js
index 472e46f..a53c958 100644
--- a/documentation/search/classes_2.js
+++ b/documentation/search/classes_2.js
@@ -2,6 +2,7 @@
 [
   ['backendregistrar',['BackendRegistrar',['../classarm__compute_1_1graph_1_1backends_1_1detail_1_1_backend_registrar.xhtml',1,'arm_compute::graph::backends::detail']]],
   ['backendregistry',['BackendRegistry',['../classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml',1,'arm_compute::graph::backends']]],
+  ['barrier',['barrier',['../classarm__gemm_1_1barrier.xhtml',1,'arm_gemm']]],
   ['batchnormalizationlayer',['BatchNormalizationLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_batch_normalization_layer.xhtml',1,'arm_compute::graph::frontend']]],
   ['batchnormalizationlayernode',['BatchNormalizationLayerNode',['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml',1,'arm_compute::graph']]],
   ['bifrosttuner',['BifrostTuner',['../classarm__compute_1_1tuners_1_1_bifrost_tuner.xhtml',1,'arm_compute::tuners']]],

documentation/search/classes_3.js

diff --git a/documentation/search/classes_3.js b/documentation/search/classes_3.js
index 76dbbbe..f5028ca 100644
--- a/documentation/search/classes_3.js
+++ b/documentation/search/classes_3.js
@@ -5,6 +5,7 @@
   ['cartesianproductdataset',['CartesianProductDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml',1,'arm_compute::test::framework::dataset']]],
   ['channelshufflelayer',['ChannelShuffleLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_channel_shuffle_layer.xhtml',1,'arm_compute::graph::frontend']]],
   ['channelshufflelayernode',['ChannelShuffleLayerNode',['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml',1,'arm_compute::graph']]],
+  ['clabslayer',['CLAbsLayer',['../classarm__compute_1_1_c_l_abs_layer.xhtml',1,'arm_compute']]],
   ['clabsolutedifference',['CLAbsoluteDifference',['../classarm__compute_1_1_c_l_absolute_difference.xhtml',1,'arm_compute']]],
   ['clabsolutedifferencekernel',['CLAbsoluteDifferenceKernel',['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml',1,'arm_compute']]],
   ['claccessor',['CLAccessor',['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml',1,'arm_compute::test']]],
@@ -22,7 +23,10 @@
   ['clarithmeticoperationkernel',['CLArithmeticOperationKernel',['../classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml',1,'arm_compute']]],
   ['clarithmeticsubtraction',['CLArithmeticSubtraction',['../classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml',1,'arm_compute']]],
   ['clarray',['CLArray',['../classarm__compute_1_1_c_l_array.xhtml',1,'arm_compute']]],
+  ['clarray_3c_20cl_5ffloat_20_3e',['CLArray< cl_float >',['../classarm__compute_1_1_c_l_array.xhtml',1,'arm_compute']]],
+  ['clarray_3c_20cl_5fint_20_3e',['CLArray< cl_int >',['../classarm__compute_1_1_c_l_array.xhtml',1,'arm_compute']]],
   ['clarrayaccessor',['CLArrayAccessor',['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml',1,'arm_compute::test']]],
+  ['clbatchconcatenatelayerkernel',['CLBatchConcatenateLayerKernel',['../classarm__compute_1_1_c_l_batch_concatenate_layer_kernel.xhtml',1,'arm_compute']]],
   ['clbatchnormalizationlayer',['CLBatchNormalizationLayer',['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml',1,'arm_compute']]],
   ['clbatchnormalizationlayerkernel',['CLBatchNormalizationLayerKernel',['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml',1,'arm_compute']]],
   ['clbatchtospacelayer',['CLBatchToSpaceLayer',['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml',1,'arm_compute']]],
@@ -81,10 +85,11 @@
   ['cldeconvolutionlayerupsample',['CLDeconvolutionLayerUpsample',['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml',1,'arm_compute']]],
   ['cldeconvolutionlayerupsamplekernel',['CLDeconvolutionLayerUpsampleKernel',['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml',1,'arm_compute']]],
   ['cldeconvolutionreshapeoutputkernel',['CLDeconvolutionReshapeOutputKernel',['../classarm__compute_1_1_c_l_deconvolution_reshape_output_kernel.xhtml',1,'arm_compute']]],
-  ['cldepthconcatenatelayer',['CLDepthConcatenateLayer',['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml',1,'arm_compute']]],
   ['cldepthconcatenatelayerkernel',['CLDepthConcatenateLayerKernel',['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml',1,'arm_compute']]],
   ['cldepthconvertlayer',['CLDepthConvertLayer',['../classarm__compute_1_1_c_l_depth_convert_layer.xhtml',1,'arm_compute']]],
   ['cldepthconvertlayerkernel',['CLDepthConvertLayerKernel',['../classarm__compute_1_1_c_l_depth_convert_layer_kernel.xhtml',1,'arm_compute']]],
+  ['cldepthtospacelayer',['CLDepthToSpaceLayer',['../classarm__compute_1_1_c_l_depth_to_space_layer.xhtml',1,'arm_compute']]],
+  ['cldepthtospacelayerkernel',['CLDepthToSpaceLayerKernel',['../classarm__compute_1_1_c_l_depth_to_space_layer_kernel.xhtml',1,'arm_compute']]],
   ['cldepthwiseconvolutionlayer',['CLDepthwiseConvolutionLayer',['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml',1,'arm_compute']]],
   ['cldepthwiseconvolutionlayer3x3',['CLDepthwiseConvolutionLayer3x3',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml',1,'arm_compute']]],
   ['cldepthwiseconvolutionlayer3x3nchwkernel',['CLDepthwiseConvolutionLayer3x3NCHWKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml',1,'arm_compute']]],
@@ -112,6 +117,7 @@
   ['clelementwisemax',['CLElementwiseMax',['../classarm__compute_1_1_c_l_elementwise_max.xhtml',1,'arm_compute']]],
   ['clelementwisemin',['CLElementwiseMin',['../classarm__compute_1_1_c_l_elementwise_min.xhtml',1,'arm_compute']]],
   ['clelementwiseoperationkernel',['CLElementwiseOperationKernel',['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml',1,'arm_compute']]],
+  ['clelementwisepower',['CLElementwisePower',['../classarm__compute_1_1_c_l_elementwise_power.xhtml',1,'arm_compute']]],
   ['clelementwisesquareddiff',['CLElementwiseSquaredDiff',['../classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml',1,'arm_compute']]],
   ['clelementwiseunarylayerkernel',['CLElementWiseUnaryLayerKernel',['../classarm__compute_1_1_c_l_element_wise_unary_layer_kernel.xhtml',1,'arm_compute']]],
   ['clequalizehistogram',['CLEqualizeHistogram',['../classarm__compute_1_1_c_l_equalize_histogram.xhtml',1,'arm_compute']]],
@@ -153,16 +159,17 @@
   ['clgemm',['CLGEMM',['../classarm__compute_1_1_c_l_g_e_m_m.xhtml',1,'arm_compute']]],
   ['clgemmconvolutionlayer',['CLGEMMConvolutionLayer',['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml',1,'arm_compute']]],
   ['clgemmdeconvolutionlayer',['CLGEMMDeconvolutionLayer',['../classarm__compute_1_1_c_l_g_e_m_m_deconvolution_layer.xhtml',1,'arm_compute']]],
-  ['clgemminterleave4x4',['CLGEMMInterleave4x4',['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4.xhtml',1,'arm_compute']]],
-  ['clgemminterleave4x4kernel',['CLGEMMInterleave4x4Kernel',['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml',1,'arm_compute']]],
   ['clgemmlowpmatrixareductionkernel',['CLGEMMLowpMatrixAReductionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml',1,'arm_compute']]],
   ['clgemmlowpmatrixbreductionkernel',['CLGEMMLowpMatrixBReductionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml',1,'arm_compute']]],
   ['clgemmlowpmatrixmultiplycore',['CLGEMMLowpMatrixMultiplyCore',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml',1,'arm_compute']]],
   ['clgemmlowpmatrixmultiplykernel',['CLGEMMLowpMatrixMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml',1,'arm_compute']]],
+  ['clgemmlowpmatrixmultiplynativekernel',['CLGEMMLowpMatrixMultiplyNativeKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_native_kernel.xhtml',1,'arm_compute']]],
   ['clgemmlowpmatrixmultiplyreshapedkernel',['CLGEMMLowpMatrixMultiplyReshapedKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml',1,'arm_compute']]],
   ['clgemmlowpmatrixmultiplyreshapedonlyrhskernel',['CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_only_r_h_s_kernel.xhtml',1,'arm_compute']]],
   ['clgemmlowpoffsetcontributionkernel',['CLGEMMLowpOffsetContributionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml',1,'arm_compute']]],
   ['clgemmlowpoffsetcontributionoutputstagekernel',['CLGEMMLowpOffsetContributionOutputStageKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml',1,'arm_compute']]],
+  ['clgemmlowpquantizedownint32toint16scalebyfixedpoint',['CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point.xhtml',1,'arm_compute']]],
+  ['clgemmlowpquantizedownint32toint16scalebyfixedpointkernel',['CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel.xhtml',1,'arm_compute']]],
   ['clgemmlowpquantizedownint32touint8scale',['CLGEMMLowpQuantizeDownInt32ToUint8Scale',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml',1,'arm_compute']]],
   ['clgemmlowpquantizedownint32touint8scalebyfixedpoint',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml',1,'arm_compute']]],
   ['clgemmlowpquantizedownint32touint8scalebyfixedpointkernel',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml',1,'arm_compute']]],
@@ -172,17 +179,18 @@
   ['clgemmmatrixaccumulatebiaseskernel',['CLGEMMMatrixAccumulateBiasesKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml',1,'arm_compute']]],
   ['clgemmmatrixadditionkernel',['CLGEMMMatrixAdditionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml',1,'arm_compute']]],
   ['clgemmmatrixmultiplykernel',['CLGEMMMatrixMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml',1,'arm_compute']]],
+  ['clgemmmatrixmultiplynativekernel',['CLGEMMMatrixMultiplyNativeKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_native_kernel.xhtml',1,'arm_compute']]],
   ['clgemmmatrixmultiplyreshapedkernel',['CLGEMMMatrixMultiplyReshapedKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml',1,'arm_compute']]],
   ['clgemmmatrixmultiplyreshapedonlyrhskernel',['CLGEMMMatrixMultiplyReshapedOnlyRHSKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel.xhtml',1,'arm_compute']]],
   ['clgemmmatrixvectormultiplykernel',['CLGEMMMatrixVectorMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml',1,'arm_compute']]],
+  ['clgemmnativekernelconfigurationbifrost',['CLGEMMNativeKernelConfigurationBifrost',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_native_kernel_configuration_bifrost.xhtml',1,'arm_compute::cl_gemm']]],
+  ['clgemmnativekernelconfigurationfactory',['CLGEMMNativeKernelConfigurationFactory',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_native_kernel_configuration_factory.xhtml',1,'arm_compute::cl_gemm']]],
   ['clgemmreshapedkernelconfigurationbifrost',['CLGEMMReshapedKernelConfigurationBifrost',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_kernel_configuration_bifrost.xhtml',1,'arm_compute::cl_gemm']]],
   ['clgemmreshapedkernelconfigurationfactory',['CLGEMMReshapedKernelConfigurationFactory',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_kernel_configuration_factory.xhtml',1,'arm_compute::cl_gemm']]],
   ['clgemmreshapedonlyrhskernelconfigurationbifrost',['CLGEMMReshapedOnlyRHSKernelConfigurationBifrost',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_only_r_h_s_kernel_configuration_bifrost.xhtml',1,'arm_compute::cl_gemm']]],
   ['clgemmreshapedonlyrhskernelconfigurationfactory',['CLGEMMReshapedOnlyRHSKernelConfigurationFactory',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_only_r_h_s_kernel_configuration_factory.xhtml',1,'arm_compute::cl_gemm']]],
   ['clgemmreshapelhsmatrixkernel',['CLGEMMReshapeLHSMatrixKernel',['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml',1,'arm_compute']]],
   ['clgemmreshaperhsmatrixkernel',['CLGEMMReshapeRHSMatrixKernel',['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml',1,'arm_compute']]],
-  ['clgemmtranspose1xw',['CLGEMMTranspose1xW',['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w.xhtml',1,'arm_compute']]],
-  ['clgemmtranspose1xwkernel',['CLGEMMTranspose1xWKernel',['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml',1,'arm_compute']]],
   ['clgenerateproposalslayer',['CLGenerateProposalsLayer',['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml',1,'arm_compute']]],
   ['clgradientkernel',['CLGradientKernel',['../classarm__compute_1_1_c_l_gradient_kernel.xhtml',1,'arm_compute']]],
   ['clharriscorners',['CLHarrisCorners',['../classarm__compute_1_1_c_l_harris_corners.xhtml',1,'arm_compute']]],
@@ -220,7 +228,9 @@
   ['cllogits1dmaxshiftexpsumkernel',['CLLogits1DMaxShiftExpSumKernel',['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml',1,'arm_compute']]],
   ['cllogits1dnormkernel',['CLLogits1DNormKernel',['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml',1,'arm_compute']]],
   ['cllogits1dshiftexpsumkernel',['CLLogits1DShiftExpSumKernel',['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml',1,'arm_compute']]],
+  ['clloglayer',['CLLogLayer',['../classarm__compute_1_1_c_l_log_layer.xhtml',1,'arm_compute']]],
   ['cllstmlayer',['CLLSTMLayer',['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml',1,'arm_compute']]],
+  ['cllstmlayerquantized',['CLLSTMLayerQuantized',['../classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml',1,'arm_compute']]],
   ['cllut',['CLLut',['../classarm__compute_1_1_c_l_lut.xhtml',1,'arm_compute']]],
   ['cllutaccessor',['CLLutAccessor',['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml',1,'arm_compute::test']]],
   ['cllutallocator',['CLLutAllocator',['../classarm__compute_1_1_c_l_lut_allocator.xhtml',1,'arm_compute']]],
@@ -233,6 +243,8 @@
   ['clmagnitudephasekernel',['CLMagnitudePhaseKernel',['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml',1,'arm_compute']]],
   ['clmeanstddev',['CLMeanStdDev',['../classarm__compute_1_1_c_l_mean_std_dev.xhtml',1,'arm_compute']]],
   ['clmeanstddevkernel',['CLMeanStdDevKernel',['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml',1,'arm_compute']]],
+  ['clmeanstddevnormalizationkernel',['CLMeanStdDevNormalizationKernel',['../classarm__compute_1_1_c_l_mean_std_dev_normalization_kernel.xhtml',1,'arm_compute']]],
+  ['clmeanstddevnormalizationlayer',['CLMeanStdDevNormalizationLayer',['../classarm__compute_1_1_c_l_mean_std_dev_normalization_layer.xhtml',1,'arm_compute']]],
   ['clmedian3x3',['CLMedian3x3',['../classarm__compute_1_1_c_l_median3x3.xhtml',1,'arm_compute']]],
   ['clmedian3x3kernel',['CLMedian3x3Kernel',['../classarm__compute_1_1_c_l_median3x3_kernel.xhtml',1,'arm_compute']]],
   ['clmemory',['CLMemory',['../classarm__compute_1_1_c_l_memory.xhtml',1,'arm_compute']]],
@@ -243,6 +255,7 @@
   ['clminmaxlocationkernel',['CLMinMaxLocationKernel',['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml',1,'arm_compute']]],
   ['clmultihog',['CLMultiHOG',['../classarm__compute_1_1_c_l_multi_h_o_g.xhtml',1,'arm_compute']]],
   ['clmultiimage',['CLMultiImage',['../classarm__compute_1_1_c_l_multi_image.xhtml',1,'arm_compute']]],
+  ['clneglayer',['CLNegLayer',['../classarm__compute_1_1_c_l_neg_layer.xhtml',1,'arm_compute']]],
   ['clnodevalidator',['CLNodeValidator',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_node_validator.xhtml',1,'arm_compute::graph::backends']]],
   ['clnonlinearfilter',['CLNonLinearFilter',['../classarm__compute_1_1_c_l_non_linear_filter.xhtml',1,'arm_compute']]],
   ['clnonlinearfilterkernel',['CLNonLinearFilterKernel',['../classarm__compute_1_1_c_l_non_linear_filter_kernel.xhtml',1,'arm_compute']]],
@@ -262,9 +275,11 @@
   ['clpixelwisemultiplicationkernel',['CLPixelWiseMultiplicationKernel',['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml',1,'arm_compute']]],
   ['clpoolinglayer',['CLPoolingLayer',['../classarm__compute_1_1_c_l_pooling_layer.xhtml',1,'arm_compute']]],
   ['clpoolinglayerkernel',['CLPoolingLayerKernel',['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml',1,'arm_compute']]],
+  ['clprelulayer',['CLPReluLayer',['../classarm__compute_1_1_c_l_p_relu_layer.xhtml',1,'arm_compute']]],
   ['clpriorboxlayer',['CLPriorBoxLayer',['../classarm__compute_1_1_c_l_prior_box_layer.xhtml',1,'arm_compute']]],
   ['clpriorboxlayerkernel',['CLPriorBoxLayerKernel',['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml',1,'arm_compute']]],
   ['clpyramid',['CLPyramid',['../classarm__compute_1_1_c_l_pyramid.xhtml',1,'arm_compute']]],
+  ['clquantization',['CLQuantization',['../structarm__compute_1_1_c_l_quantization.xhtml',1,'arm_compute']]],
   ['clquantizationlayer',['CLQuantizationLayer',['../classarm__compute_1_1_c_l_quantization_layer.xhtml',1,'arm_compute']]],
   ['clquantizationlayerkernel',['CLQuantizationLayerKernel',['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml',1,'arm_compute']]],
   ['clrange',['CLRange',['../classarm__compute_1_1_c_l_range.xhtml',1,'arm_compute']]],
@@ -285,6 +300,7 @@
   ['clroialignlayerkernel',['CLROIAlignLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml',1,'arm_compute']]],
   ['clroipoolinglayer',['CLROIPoolingLayer',['../classarm__compute_1_1_c_l_r_o_i_pooling_layer.xhtml',1,'arm_compute']]],
   ['clroipoolinglayerkernel',['CLROIPoolingLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml',1,'arm_compute']]],
+  ['clroundlayer',['CLRoundLayer',['../classarm__compute_1_1_c_l_round_layer.xhtml',1,'arm_compute']]],
   ['clrsqrtlayer',['CLRsqrtLayer',['../classarm__compute_1_1_c_l_rsqrt_layer.xhtml',1,'arm_compute']]],
   ['clsaturatedarithmeticoperationkernel',['CLSaturatedArithmeticOperationKernel',['../classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml',1,'arm_compute']]],
   ['clscale',['CLScale',['../classarm__compute_1_1_c_l_scale.xhtml',1,'arm_compute']]],
@@ -296,6 +312,7 @@
   ['clselectkernel',['CLSelectKernel',['../classarm__compute_1_1_c_l_select_kernel.xhtml',1,'arm_compute']]],
   ['clseparableconvolutionhorkernel',['CLSeparableConvolutionHorKernel',['../classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml',1,'arm_compute']]],
   ['clseparableconvolutionvertkernel',['CLSeparableConvolutionVertKernel',['../classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml',1,'arm_compute']]],
+  ['clsinlayer',['CLSinLayer',['../classarm__compute_1_1_c_l_sin_layer.xhtml',1,'arm_compute']]],
   ['clslice',['CLSlice',['../classarm__compute_1_1_c_l_slice.xhtml',1,'arm_compute']]],
   ['clsobel3x3',['CLSobel3x3',['../classarm__compute_1_1_c_l_sobel3x3.xhtml',1,'arm_compute']]],
   ['clsobel3x3kernel',['CLSobel3x3Kernel',['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml',1,'arm_compute']]],
@@ -308,6 +325,8 @@
   ['clsoftmaxlayer',['CLSoftmaxLayer',['../classarm__compute_1_1_c_l_softmax_layer.xhtml',1,'arm_compute']]],
   ['clspacetobatchlayer',['CLSpaceToBatchLayer',['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml',1,'arm_compute']]],
   ['clspacetobatchlayerkernel',['CLSpaceToBatchLayerKernel',['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml',1,'arm_compute']]],
+  ['clspacetodepthlayer',['CLSpaceToDepthLayer',['../classarm__compute_1_1_c_l_space_to_depth_layer.xhtml',1,'arm_compute']]],
+  ['clspacetodepthlayerkernel',['CLSpaceToDepthLayerKernel',['../classarm__compute_1_1_c_l_space_to_depth_layer_kernel.xhtml',1,'arm_compute']]],
   ['clsplit',['CLSplit',['../classarm__compute_1_1_c_l_split.xhtml',1,'arm_compute']]],
   ['clstacklayer',['CLStackLayer',['../classarm__compute_1_1_c_l_stack_layer.xhtml',1,'arm_compute']]],
   ['clstacklayerkernel',['CLStackLayerKernel',['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml',1,'arm_compute']]],
@@ -341,7 +360,6 @@
   ['clweightsreshapekernel',['CLWeightsReshapeKernel',['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml',1,'arm_compute']]],
   ['clwidthconcatenate2tensorskernel',['CLWidthConcatenate2TensorsKernel',['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml',1,'arm_compute']]],
   ['clwidthconcatenate4tensorskernel',['CLWidthConcatenate4TensorsKernel',['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml',1,'arm_compute']]],
-  ['clwidthconcatenatelayer',['CLWidthConcatenateLayer',['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml',1,'arm_compute']]],
   ['clwidthconcatenatelayerkernel',['CLWidthConcatenateLayerKernel',['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml',1,'arm_compute']]],
   ['clwinogradconvolutionlayer',['CLWinogradConvolutionLayer',['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml',1,'arm_compute']]],
   ['clwinogradfiltertransformkernel',['CLWinogradFilterTransformKernel',['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml',1,'arm_compute']]],
@@ -372,15 +390,17 @@
   ['convolutionlayer',['ConvolutionLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml',1,'arm_compute::graph::frontend']]],
   ['convolutionlayernode',['ConvolutionLayerNode',['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml',1,'arm_compute::graph']]],
   ['coordinates',['Coordinates',['../classarm__compute_1_1_coordinates.xhtml',1,'arm_compute']]],
-  ['coordinates2d',['Coordinates2D',['../structarm__compute_1_1_coordinates2_d.xhtml',1,'Coordinates2D'],['../struct_coordinates2_d.xhtml',1,'Coordinates2D']]],
+  ['coordinates2d',['Coordinates2D',['../struct_coordinates2_d.xhtml',1,'Coordinates2D'],['../structarm__compute_1_1_coordinates2_d.xhtml',1,'Coordinates2D']]],
   ['coordinates3d',['Coordinates3D',['../structarm__compute_1_1_coordinates3_d.xhtml',1,'arm_compute']]],
   ['cppboxwithnonmaximasuppressionlimit',['CPPBoxWithNonMaximaSuppressionLimit',['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit.xhtml',1,'arm_compute']]],
   ['cppboxwithnonmaximasuppressionlimitkernel',['CPPBoxWithNonMaximaSuppressionLimitKernel',['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml',1,'arm_compute']]],
   ['cppcornercandidateskernel',['CPPCornerCandidatesKernel',['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml',1,'arm_compute']]],
   ['cppdetectionoutputlayer',['CPPDetectionOutputLayer',['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml',1,'arm_compute']]],
+  ['cppdetectionpostprocesslayer',['CPPDetectionPostProcessLayer',['../classarm__compute_1_1_c_p_p_detection_post_process_layer.xhtml',1,'arm_compute']]],
   ['cppdetectionwindownonmaximasuppressionkernel',['CPPDetectionWindowNonMaximaSuppressionKernel',['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml',1,'arm_compute']]],
   ['cppflipweightskernel',['CPPFlipWeightsKernel',['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml',1,'arm_compute']]],
   ['cppnonmaximumsuppression',['CPPNonMaximumSuppression',['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml',1,'arm_compute']]],
+  ['cppnonmaximumsuppressionkernel',['CPPNonMaximumSuppressionKernel',['../classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml',1,'arm_compute']]],
   ['cpppermute',['CPPPermute',['../classarm__compute_1_1_c_p_p_permute.xhtml',1,'arm_compute']]],
   ['cpppermutekernel',['CPPPermuteKernel',['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml',1,'arm_compute']]],
   ['cppscheduler',['CPPScheduler',['../classarm__compute_1_1_c_p_p_scheduler.xhtml',1,'arm_compute']]],

documentation/search/classes_4.js

diff --git a/documentation/search/classes_4.js b/documentation/search/classes_4.js
index bd83410..faa1c2a 100644
--- a/documentation/search/classes_4.js
+++ b/documentation/search/classes_4.js
@@ -31,7 +31,10 @@
   ['detectionoutputlayer',['DetectionOutputLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_detection_output_layer.xhtml',1,'arm_compute::graph::frontend']]],
   ['detectionoutputlayerinfo',['DetectionOutputLayerInfo',['../classarm__compute_1_1_detection_output_layer_info.xhtml',1,'arm_compute']]],
   ['detectionoutputlayernode',['DetectionOutputLayerNode',['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml',1,'arm_compute::graph']]],
-  ['detectionwindow',['DetectionWindow',['../structarm__compute_1_1_detection_window.xhtml',1,'DetectionWindow'],['../struct_detection_window.xhtml',1,'DetectionWindow']]],
+  ['detectionpostprocesslayer',['DetectionPostProcessLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_detection_post_process_layer.xhtml',1,'arm_compute::graph::frontend']]],
+  ['detectionpostprocesslayerinfo',['DetectionPostProcessLayerInfo',['../classarm__compute_1_1_detection_post_process_layer_info.xhtml',1,'arm_compute']]],
+  ['detectionpostprocesslayernode',['DetectionPostProcessLayerNode',['../classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml',1,'arm_compute::graph']]],
+  ['detectionwindow',['DetectionWindow',['../struct_detection_window.xhtml',1,'DetectionWindow'],['../structarm__compute_1_1_detection_window.xhtml',1,'DetectionWindow']]],
   ['dimension',['Dimension',['../classarm__compute_1_1_window_1_1_dimension.xhtml',1,'arm_compute::Window']]],
   ['dimensions',['Dimensions',['../classarm__compute_1_1_dimensions.xhtml',1,'arm_compute']]],
   ['dimensions_3c_20int_20_3e',['Dimensions< int >',['../classarm__compute_1_1_dimensions.xhtml',1,'arm_compute']]],

documentation/search/classes_6.js

diff --git a/documentation/search/classes_6.js b/documentation/search/classes_6.js
index e2d2ca1..b7d98f9 100644
--- a/documentation/search/classes_6.js
+++ b/documentation/search/classes_6.js
@@ -17,5 +17,7 @@
   ['fullyconnectedlayerinfo',['FullyConnectedLayerInfo',['../structarm__compute_1_1_fully_connected_layer_info.xhtml',1,'arm_compute']]],
   ['fullyconnectedlayernode',['FullyConnectedLayerNode',['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml',1,'arm_compute::graph']]],
   ['fusedconvolutionbatchnormalizationfunction',['FusedConvolutionBatchNormalizationFunction',['../classarm__compute_1_1graph_1_1backends_1_1_fused_convolution_batch_normalization_function.xhtml',1,'arm_compute::graph::backends']]],
-  ['fusedconvolutionbatchnormalizationnode',['FusedConvolutionBatchNormalizationNode',['../classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml',1,'arm_compute::graph']]]
+  ['fusedconvolutionbatchnormalizationnode',['FusedConvolutionBatchNormalizationNode',['../classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml',1,'arm_compute::graph']]],
+  ['fuseddepthwiseconvolutionbatchnormalizationfunction',['FusedDepthwiseConvolutionBatchNormalizationFunction',['../classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml',1,'arm_compute::graph::backends']]],
+  ['fuseddepthwiseconvolutionbatchnormalizationnode',['FusedDepthwiseConvolutionBatchNormalizationNode',['../classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml',1,'arm_compute::graph']]]
 ];

documentation/search/classes_7.js

diff --git a/documentation/search/classes_7.js b/documentation/search/classes_7.js
index f74b42e..e7b47b7 100644
--- a/documentation/search/classes_7.js
+++ b/documentation/search/classes_7.js
@@ -15,7 +15,6 @@
   ['gcconcatenatelayer',['GCConcatenateLayer',['../classarm__compute_1_1_g_c_concatenate_layer.xhtml',1,'arm_compute']]],
   ['gcconvolutionlayer',['GCConvolutionLayer',['../classarm__compute_1_1_g_c_convolution_layer.xhtml',1,'arm_compute']]],
   ['gcconvolutionlayerreshapeweights',['GCConvolutionLayerReshapeWeights',['../classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml',1,'arm_compute']]],
-  ['gcdepthconcatenatelayer',['GCDepthConcatenateLayer',['../classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml',1,'arm_compute']]],
   ['gcdepthconcatenatelayerkernel',['GCDepthConcatenateLayerKernel',['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml',1,'arm_compute']]],
   ['gcdepthwiseconvolutionlayer3x3',['GCDepthwiseConvolutionLayer3x3',['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml',1,'arm_compute']]],
   ['gcdepthwiseconvolutionlayer3x3kernel',['GCDepthwiseConvolutionLayer3x3Kernel',['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml',1,'arm_compute']]],
@@ -67,9 +66,12 @@
   ['gctransposekernel',['GCTransposeKernel',['../classarm__compute_1_1_g_c_transpose_kernel.xhtml',1,'arm_compute']]],
   ['gcweightsreshapekernel',['GCWeightsReshapeKernel',['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml',1,'arm_compute']]],
   ['gemmhybrid',['GemmHybrid',['../classarm__gemm_1_1_gemm_hybrid.xhtml',1,'arm_gemm']]],
+  ['gemmhybridquantized',['GemmHybridQuantized',['../classarm__gemm_1_1_gemm_hybrid_quantized.xhtml',1,'arm_gemm']]],
   ['gemmimplementation',['GemmImplementation',['../structarm__gemm_1_1_gemm_implementation.xhtml',1,'arm_gemm']]],
+  ['gemmimplementation_3c_20top_2c_20tret_2c_20nothing_20_3e',['GemmImplementation< Top, Tret, Nothing >',['../structarm__gemm_1_1_gemm_implementation_3_01_top_00_01_tret_00_01_nothing_01_4.xhtml',1,'arm_gemm']]],
   ['gemminfo',['GEMMInfo',['../classarm__compute_1_1_g_e_m_m_info.xhtml',1,'arm_compute']]],
   ['gemminterleaved',['GemmInterleaved',['../classarm__gemm_1_1_gemm_interleaved.xhtml',1,'arm_gemm']]],
+  ['gemmkernelinfo',['GEMMKernelInfo',['../structarm__compute_1_1_g_e_m_m_kernel_info.xhtml',1,'arm_compute']]],
   ['gemmlhsmatrixinfo',['GEMMLHSMatrixInfo',['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml',1,'arm_compute']]],
   ['gemmlowpoutputstageinfo',['GEMMLowpOutputStageInfo',['../structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml',1,'arm_compute']]],
   ['gemmnative',['GemmNative',['../classarm__gemm_1_1_gemm_native.xhtml',1,'arm_gemm']]],

documentation/search/classes_9.js

diff --git a/documentation/search/classes_9.js b/documentation/search/classes_9.js
index edcb058..715083e 100644
--- a/documentation/search/classes_9.js
+++ b/documentation/search/classes_9.js
@@ -8,6 +8,8 @@
   ['iarrayaccessor',['IArrayAccessor',['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml',1,'arm_compute::test']]],
   ['ibuffermanager',['IBufferManager',['../classarm__compute_1_1_i_buffer_manager.xhtml',1,'arm_compute']]],
   ['iclarray',['ICLArray',['../classarm__compute_1_1_i_c_l_array.xhtml',1,'arm_compute']]],
+  ['iclarray_3c_20cl_5ffloat_20_3e',['ICLArray< cl_float >',['../classarm__compute_1_1_i_c_l_array.xhtml',1,'arm_compute']]],
+  ['iclarray_3c_20cl_5fint_20_3e',['ICLArray< cl_int >',['../classarm__compute_1_1_i_c_l_array.xhtml',1,'arm_compute']]],
   ['icldepthwiseconvolutionlayer3x3kernel',['ICLDepthwiseConvolutionLayer3x3Kernel',['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml',1,'arm_compute']]],
   ['icldistribution1d',['ICLDistribution1D',['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml',1,'arm_compute']]],
   ['iclgemmkernelconfiguration',['ICLGEMMKernelConfiguration',['../classarm__compute_1_1_i_c_l_g_e_m_m_kernel_configuration.xhtml',1,'arm_compute']]],
@@ -105,5 +107,5 @@
   ['itensorallocator',['ITensorAllocator',['../classarm__compute_1_1_i_tensor_allocator.xhtml',1,'arm_compute']]],
   ['itensorhandle',['ITensorHandle',['../classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml',1,'arm_compute::graph']]],
   ['itensorinfo',['ITensorInfo',['../classarm__compute_1_1_i_tensor_info.xhtml',1,'arm_compute']]],
-  ['iterator',['iterator',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml',1,'CartesianProductDataset< T, U >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml',1,'ContainerDataset< T >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml',1,'InitializerListDataset< T >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml',1,'JoinDataset< T, U >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml',1,'RangeDataset< T >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml',1,'ZipDataset< T, U >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml',1,'SingletonDataset< T >::iterator'],['../classarm__compute_1_1_iterator.xhtml',1,'Iterator']]]
+  ['iterator',['iterator',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml',1,'CartesianProductDataset< T, U >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml',1,'ContainerDataset< T >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml',1,'JoinDataset< T, U >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml',1,'RangeDataset< T >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml',1,'SingletonDataset< T >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml',1,'InitializerListDataset< T >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml',1,'ZipDataset< T, U >::iterator'],['../classarm__compute_1_1_iterator.xhtml',1,'Iterator']]]
 ];

documentation/search/classes_d.js

diff --git a/documentation/search/classes_d.js b/documentation/search/classes_d.js
index 3dedf88..2782e06 100644
--- a/documentation/search/classes_d.js
+++ b/documentation/search/classes_d.js
@@ -15,6 +15,7 @@
   ['memoryregion',['MemoryRegion',['../classarm__compute_1_1_memory_region.xhtml',1,'arm_compute']]],
   ['midgardtuner',['MidgardTuner',['../classarm__compute_1_1tuners_1_1_midgard_tuner.xhtml',1,'arm_compute::tuners']]],
   ['minmaxlocationvalues',['MinMaxLocationValues',['../structarm__compute_1_1_min_max_location_values.xhtml',1,'arm_compute']]],
+  ['mmappedfile',['MMappedFile',['../classarm__compute_1_1utils_1_1mmap__io_1_1_m_mapped_file.xhtml',1,'arm_compute::utils::mmap_io']]],
   ['multihog',['MultiHOG',['../classarm__compute_1_1_multi_h_o_g.xhtml',1,'arm_compute']]],
   ['multiimage',['MultiImage',['../classarm__compute_1_1_multi_image.xhtml',1,'arm_compute']]],
   ['multiimageinfo',['MultiImageInfo',['../classarm__compute_1_1_multi_image_info.xhtml',1,'arm_compute']]]

documentation/search/classes_e.js

diff --git a/documentation/search/classes_e.js b/documentation/search/classes_e.js
index 32ee143..7ed44e2 100644
--- a/documentation/search/classes_e.js
+++ b/documentation/search/classes_e.js
@@ -3,6 +3,7 @@
   ['nameddataset',['NamedDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml',1,'arm_compute::test::framework::dataset']]],
   ['ndrange',['NDRange',['../classarm__gemm_1_1_n_d_range.xhtml',1,'NDRange< D >'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml',1,'NDRange']]],
   ['ndrange_3c_204_20_3e',['NDRange< 4 >',['../classarm__gemm_1_1_n_d_range.xhtml',1,'arm_gemm']]],
+  ['neabslayer',['NEAbsLayer',['../classarm__compute_1_1_n_e_abs_layer.xhtml',1,'arm_compute']]],
   ['neabsolutedifference',['NEAbsoluteDifference',['../classarm__compute_1_1_n_e_absolute_difference.xhtml',1,'arm_compute']]],
   ['neabsolutedifferencekernel',['NEAbsoluteDifferenceKernel',['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml',1,'arm_compute']]],
   ['neaccumulate',['NEAccumulate',['../classarm__compute_1_1_n_e_accumulate.xhtml',1,'arm_compute']]],
@@ -19,6 +20,7 @@
   ['nearithmeticoperationkernel',['NEArithmeticOperationKernel',['../classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml',1,'arm_compute']]],
   ['nearithmeticsubtraction',['NEArithmeticSubtraction',['../classarm__compute_1_1_n_e_arithmetic_subtraction.xhtml',1,'arm_compute']]],
   ['nearithmeticsubtractionkernel',['NEArithmeticSubtractionKernel',['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml',1,'arm_compute']]],
+  ['nebatchconcatenatelayerkernel',['NEBatchConcatenateLayerKernel',['../classarm__compute_1_1_n_e_batch_concatenate_layer_kernel.xhtml',1,'arm_compute']]],
   ['nebatchnormalizationlayer',['NEBatchNormalizationLayer',['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml',1,'arm_compute']]],
   ['nebatchnormalizationlayerkernel',['NEBatchNormalizationLayerKernel',['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml',1,'arm_compute']]],
   ['nebatchtospacelayer',['NEBatchToSpaceLayer',['../classarm__compute_1_1_n_e_batch_to_space_layer.xhtml',1,'arm_compute']]],
@@ -34,6 +36,7 @@
   ['nebox3x3',['NEBox3x3',['../classarm__compute_1_1_n_e_box3x3.xhtml',1,'arm_compute']]],
   ['nebox3x3kernel',['NEBox3x3Kernel',['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml',1,'arm_compute']]],
   ['necannyedge',['NECannyEdge',['../classarm__compute_1_1_n_e_canny_edge.xhtml',1,'arm_compute']]],
+  ['necast',['NECast',['../classarm__compute_1_1_n_e_cast.xhtml',1,'arm_compute']]],
   ['nechannelcombine',['NEChannelCombine',['../classarm__compute_1_1_n_e_channel_combine.xhtml',1,'arm_compute']]],
   ['nechannelcombinekernel',['NEChannelCombineKernel',['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml',1,'arm_compute']]],
   ['nechannelextract',['NEChannelExtract',['../classarm__compute_1_1_n_e_channel_extract.xhtml',1,'arm_compute']]],
@@ -63,14 +66,17 @@
   ['necropresize',['NECropResize',['../classarm__compute_1_1_n_e_crop_resize.xhtml',1,'arm_compute']]],
   ['necumulativedistributionkernel',['NECumulativeDistributionKernel',['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml',1,'arm_compute']]],
   ['nedeconvolutionlayer',['NEDeconvolutionLayer',['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml',1,'arm_compute']]],
-  ['nedepthconcatenatelayer',['NEDepthConcatenateLayer',['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml',1,'arm_compute']]],
   ['nedepthconcatenatelayerkernel',['NEDepthConcatenateLayerKernel',['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml',1,'arm_compute']]],
   ['nedepthconvertlayer',['NEDepthConvertLayer',['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml',1,'arm_compute']]],
   ['nedepthconvertlayerkernel',['NEDepthConvertLayerKernel',['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml',1,'arm_compute']]],
+  ['nedepthtospacelayer',['NEDepthToSpaceLayer',['../classarm__compute_1_1_n_e_depth_to_space_layer.xhtml',1,'arm_compute']]],
+  ['nedepthtospacelayerkernel',['NEDepthToSpaceLayerKernel',['../classarm__compute_1_1_n_e_depth_to_space_layer_kernel.xhtml',1,'arm_compute']]],
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+  ['nespacetodepthlayer',['NESpaceToDepthLayer',['../classarm__compute_1_1_n_e_space_to_depth_layer.xhtml',1,'arm_compute']]],
+  ['nespacetodepthlayerkernel',['NESpaceToDepthLayerKernel',['../classarm__compute_1_1_n_e_space_to_depth_layer_kernel.xhtml',1,'arm_compute']]],
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documentation/search/defines_1.js

diff --git a/documentation/search/defines_1.js b/documentation/search/defines_1.js
index 522a968..47eb4cf 100644
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documentation/search/defines_10.js

diff --git a/documentation/search/defines_10.js b/documentation/search/defines_10.js
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documentation/search/defines_11.js

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+  ['scale_5frow_5f11',['SCALE_ROW_11',['../gemm__helpers_8h.xhtml#a5fef984324e4bda881b3d8cfe762acb7',1,'gemm_helpers.h']]],
+  ['scale_5frow_5f12',['SCALE_ROW_12',['../gemm__helpers_8h.xhtml#a2cf3a7c05776df5e4e506ac4b013107e',1,'gemm_helpers.h']]],
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+  ['scale_5frow_5f2',['SCALE_ROW_2',['../gemm__helpers_8h.xhtml#a2496863a39fb68aa705466449c70bdae',1,'gemm_helpers.h']]],
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+  ['scale_5frow_5f5',['SCALE_ROW_5',['../gemm__helpers_8h.xhtml#a95e48c8e88afb7e8b51e7dd85650d91f',1,'gemm_helpers.h']]],
+  ['scale_5frow_5f6',['SCALE_ROW_6',['../gemm__helpers_8h.xhtml#acddce02f6c8d1b07ccb651122600f110',1,'gemm_helpers.h']]],
+  ['scale_5frow_5f7',['SCALE_ROW_7',['../gemm__helpers_8h.xhtml#a4238aa33326487bed6c5b29d98d702a3',1,'gemm_helpers.h']]],
+  ['scale_5frow_5f8',['SCALE_ROW_8',['../gemm__helpers_8h.xhtml#a91b9e33c8e3a2eceddbfc4db85ede8ac',1,'gemm_helpers.h']]],
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-  ['select_5ftype',['SELECT_TYPE',['../activation__layer_8cl.xhtml#a5c9e2fb8fe562b69a0be48600a910d77',1,'activation_layer.cl']]],
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-  ['sqrt_5fop',['SQRT_OP',['../pooling__layer_8cl.xhtml#ac9af19bec38fe50b4b9585c0e5c0ccca',1,'pooling_layer.cl']]],
+  ['sqrt_5fop',['SQRT_OP',['../pooling__layer_8cl.xhtml#ac9af19bec38fe50b4b9585c0e5c0ccca',1,'SQRT_OP(): pooling_layer.cl'],['../activation__float__helpers_8h.xhtml#a43bf6bb78e61889b6a1f3f60b36d52a8',1,'sqrt_op(): activation_float_helpers.h']]],
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+  ['store_5fblock',['STORE_BLOCK',['../gemm__helpers_8h.xhtml#ab6d2df39dc14930b9865d6309913dc4d',1,'gemm_helpers.h']]],
+  ['store_5fblock_5fstr',['STORE_BLOCK_STR',['../gemm__helpers_8h.xhtml#a7249d30c01773ebe7a7c15899550967f',1,'gemm_helpers.h']]],
   ['store_5fop',['STORE_OP',['../normalization__layer_8cl.xhtml#ac59caf44b60378c02032aab994ad5ac1',1,'normalization_layer.cl']]],
+  ['store_5frow_5f1',['STORE_ROW_1',['../gemm__helpers_8h.xhtml#a42775a26a1afa49fa6daf22199bfb283',1,'gemm_helpers.h']]],
+  ['store_5frow_5f10',['STORE_ROW_10',['../gemm__helpers_8h.xhtml#a9444374f91effec8941ac8151dbbd7b6',1,'gemm_helpers.h']]],
+  ['store_5frow_5f11',['STORE_ROW_11',['../gemm__helpers_8h.xhtml#ac116aeace921fc2ed18537b7c115c3cb',1,'gemm_helpers.h']]],
+  ['store_5frow_5f12',['STORE_ROW_12',['../gemm__helpers_8h.xhtml#ae07d54f575d6a2f3139e03aacbb7ba65',1,'gemm_helpers.h']]],
+  ['store_5frow_5f13',['STORE_ROW_13',['../gemm__helpers_8h.xhtml#aaef65e04adc0477068c7713626b9519d',1,'gemm_helpers.h']]],
+  ['store_5frow_5f14',['STORE_ROW_14',['../gemm__helpers_8h.xhtml#aa470c872334170ec0b9e0a1e6327aa18',1,'gemm_helpers.h']]],
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+  ['store_5frow_5f16',['STORE_ROW_16',['../gemm__helpers_8h.xhtml#a7148578cb34f2dc761f273e78e564fb4',1,'gemm_helpers.h']]],
+  ['store_5frow_5f2',['STORE_ROW_2',['../gemm__helpers_8h.xhtml#abfd02cf3b334c8d64b47b05499129c7d',1,'gemm_helpers.h']]],
+  ['store_5frow_5f3',['STORE_ROW_3',['../gemm__helpers_8h.xhtml#ae9cd4eda11385d9c58f4e029d5ca523c',1,'gemm_helpers.h']]],
+  ['store_5frow_5f4',['STORE_ROW_4',['../gemm__helpers_8h.xhtml#adea0e5628fb45b01a63b5195421f0548',1,'gemm_helpers.h']]],
+  ['store_5frow_5f5',['STORE_ROW_5',['../gemm__helpers_8h.xhtml#a6e2883a7dd0151a0c04cac5a9f03c0d4',1,'gemm_helpers.h']]],
+  ['store_5frow_5f6',['STORE_ROW_6',['../gemm__helpers_8h.xhtml#a6c137549a648443ebf108dae08697ea7',1,'gemm_helpers.h']]],
+  ['store_5frow_5f7',['STORE_ROW_7',['../gemm__helpers_8h.xhtml#a1bcd88f16608529139b6b6a0c42be962',1,'gemm_helpers.h']]],
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+  ['store_5frow_5f9',['STORE_ROW_9',['../gemm__helpers_8h.xhtml#aced5eba2ce0f7efa377a1d4e87d58a74',1,'gemm_helpers.h']]],
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documentation/search/defines_12.js

diff --git a/documentation/search/defines_12.js b/documentation/search/defines_12.js
index 62da602..a799f7c 100644
--- a/documentation/search/defines_12.js
+++ b/documentation/search/defines_12.js
@@ -1,5 +1,6 @@
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@@ -10,7 +11,14 @@
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   ['transpose_5f4x4',['TRANSPOSE_4x4',['../transpose_8cl.xhtml#a093adbe8897f56bc8d0998f5cad57c8a',1,'transpose.cl']]],
-  ['transpose_5f8x8',['TRANSPOSE_8x8',['../transpose_8cl.xhtml#ad037a4e8ddc84de9c0512a2d4ee693bf',1,'TRANSPOSE_8x8(): transpose.cl'],['../_g_c_transpose_kernel_8cpp.xhtml#a2438fdfd446c570d9115fddd9d9fc37b',1,'TRANSPOSE_8X8(): GCTransposeKernel.cpp']]],
+  ['transpose_5f8x8',['TRANSPOSE_8X8',['../_g_c_transpose_kernel_8cpp.xhtml#a2438fdfd446c570d9115fddd9d9fc37b',1,'TRANSPOSE_8X8(): GCTransposeKernel.cpp'],['../transpose_8cl.xhtml#ad037a4e8ddc84de9c0512a2d4ee693bf',1,'TRANSPOSE_8x8(): transpose.cl']]],
+  ['transpose_5fk0x1',['TRANSPOSE_K0X1',['../gemm__helpers_8h.xhtml#a3331788b9b76de48804ede36995f2b65',1,'gemm_helpers.h']]],
+  ['transpose_5fk0x16',['TRANSPOSE_K0X16',['../gemm__helpers_8h.xhtml#ab7f7711d7dd26714ebee9d07b8ce58a3',1,'gemm_helpers.h']]],
+  ['transpose_5fk0x2',['TRANSPOSE_K0X2',['../gemm__helpers_8h.xhtml#a6b46fdbc87c7084bdc63a2f9520ddb83',1,'gemm_helpers.h']]],
+  ['transpose_5fk0x3',['TRANSPOSE_K0X3',['../gemm__helpers_8h.xhtml#a08e69d6b2e06e2ef4bc9ba21488ddf8f',1,'gemm_helpers.h']]],
+  ['transpose_5fk0x4',['TRANSPOSE_K0X4',['../gemm__helpers_8h.xhtml#a5044f846186656923b4b6a6018dd1d42',1,'gemm_helpers.h']]],
+  ['transpose_5fk0x8',['TRANSPOSE_K0X8',['../gemm__helpers_8h.xhtml#a221e4dab7bfbca55e7d79174f140a754',1,'gemm_helpers.h']]],
+  ['transpose_5fk0xn0',['TRANSPOSE_K0XN0',['../gemm__helpers_8h.xhtml#af83fba9e0a00fc38a71258f0052b9c24',1,'gemm_helpers.h']]],
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+  ['type',['TYPE',['../activation__quant__helpers_8h.xhtml#a5a392548f2df67370cb15d2a5d75cd7b',1,'activation_quant_helpers.h']]]
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documentation/search/defines_13.js

diff --git a/documentation/search/defines_13.js b/documentation/search/defines_13.js
index 8281b26..5c17fb2 100644
--- a/documentation/search/defines_13.js
+++ b/documentation/search/defines_13.js
@@ -1,5 +1,9 @@
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documentation/search/defines_14.js

diff --git a/documentation/search/defines_14.js b/documentation/search/defines_14.js
index f08292c..cfb863d 100644
--- a/documentation/search/defines_14.js
+++ b/documentation/search/defines_14.js
@@ -6,7 +6,7 @@
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-  ['variadic_5fsize_5fimpl',['VARIADIC_SIZE_IMPL',['../tests_2framework_2_macros_8h.xhtml#a1667c2513ea4d07e8c042cb7d703b03e',1,'Macros.h']]],
+  ['variadic_5fsize_5fimpl',['VARIADIC_SIZE_IMPL',['../tests_2framework_2_macros_8h.xhtml#a472d2291914c67882a7c8a209b64d0b6',1,'Macros.h']]],
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@@ -18,7 +18,7 @@
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   ['vec_5fdata_5ftype_5fstr',['VEC_DATA_TYPE_STR',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ae802822defb0fa3a7f74f98e324696cb',1,'helpers.h']]],
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+  ['vec_5ffloat',['VEC_FLOAT',['../activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c',1,'activation_layer_quant.cl']]],
   ['vec_5fint',['VEC_INT',['../softmax__layer__quantized_8cl.xhtml#aee190caf3b3571e939ac129e12c368cd',1,'softmax_layer_quantized.cl']]],
   ['vec_5fuchar',['VEC_UCHAR',['../softmax__layer__quantized_8cl.xhtml#af5987b09a234231612b2b1eded343025',1,'softmax_layer_quantized.cl']]],
   ['vec_5fuint',['VEC_UINT',['../softmax__layer__quantized_8cl.xhtml#a16110bd2b92003141dbaf8a44498ff82',1,'softmax_layer_quantized.cl']]],
@@ -34,8 +34,10 @@
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   ['vgetqlane_5fimpl_5f8',['VGETQLANE_IMPL_8',['../getlane_8h.xhtml#ae68e7caec08496db4a3590e1aed6f606',1,'getlane.h']]],
   ['vinv_5fimpl',['VINV_IMPL',['../inv_8h.xhtml#a40d7d98ec5221df8fb9baa6285e0eac8',1,'inv.h']]],
+  ['vinv_5fimpl_5fint',['VINV_IMPL_INT',['../inv_8h.xhtml#a65517496eb9d17762411fb97381b4a1a',1,'inv.h']]],
   ['vinvsqrt_5fimpl',['VINVSQRT_IMPL',['../invsqrt_8h.xhtml#ae4e958aaa071eaccd30635175915525b',1,'invsqrt.h']]],
   ['vload',['VLOAD',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f',1,'helpers.h']]],
+  ['vload1',['vload1',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ac7d6861d3efed38307fbf891ecc63002',1,'helpers.h']]],
   ['vload_5fimpl',['VLOAD_IMPL',['../load_8h.xhtml#a53c08997bb6826fb0ec78c83607b9545',1,'load.h']]],
   ['vload_5fstr',['VLOAD_STR',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a29367a809c14c294feefc1a8dad93752',1,'helpers.h']]],
   ['vloadq_5fimpl',['VLOADQ_IMPL',['../load_8h.xhtml#a0c7646422da9febac20624c0b9b2a1a3',1,'load.h']]],
@@ -57,12 +59,14 @@
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   ['vrev64_5fimpl',['VREV64_IMPL',['../rev64_8h.xhtml#a2b435225cdcf3ef8b37163d1713e63b1',1,'rev64.h']]],
+  ['vroundq_5fimpl',['VROUNDQ_IMPL',['../round_8h.xhtml#a542462e882dc2f438f3c4c48fbf8c85c',1,'round.h']]],
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documentation/search/defines_2.js

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index e3b2284..9928cb3 100644
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documentation/search/defines_3.js

diff --git a/documentation/search/defines_3.js b/documentation/search/defines_3.js
index 521c3c2..a379328 100644
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diff --git a/documentation/search/defines_4.js b/documentation/search/defines_4.js
index c80d44a..5c013ba 100644
--- a/documentation/search/defines_4.js
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documentation/search/defines_5.js

diff --git a/documentation/search/defines_5.js b/documentation/search/defines_5.js
index 37332f3..c80d44a 100644
--- a/documentation/search/defines_5.js
+++ b/documentation/search/defines_5.js
@@ -1,15 +1,18 @@
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documentation/search/defines_6.js

diff --git a/documentation/search/defines_6.js b/documentation/search/defines_6.js
index ee3d41e..37332f3 100644
--- a/documentation/search/defines_6.js
+++ b/documentation/search/defines_6.js
@@ -1,7 +1,15 @@
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documentation/search/defines_7.js

diff --git a/documentation/search/defines_7.js b/documentation/search/defines_7.js
index 55c4a71..21b8dba 100644
--- a/documentation/search/defines_7.js
+++ b/documentation/search/defines_7.js
@@ -1,11 +1,9 @@
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documentation/search/defines_8.js

diff --git a/documentation/search/defines_8.js b/documentation/search/defines_8.js
index f544959..55c4a71 100644
--- a/documentation/search/defines_8.js
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documentation/search/defines_9.js

diff --git a/documentation/search/defines_9.js b/documentation/search/defines_9.js
index 67ea05a..c6a9365 100644
--- a/documentation/search/defines_9.js
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documentation/search/defines_a.js

diff --git a/documentation/search/defines_a.js b/documentation/search/defines_a.js
index 3f92aca..57aa9cf 100644
--- a/documentation/search/defines_a.js
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@@ -1,9 +1,17 @@
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documentation/search/defines_b.js

diff --git a/documentation/search/defines_b.js b/documentation/search/defines_b.js
index 99c4663..9e127fe 100644
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documentation/search/defines_c.js

diff --git a/documentation/search/defines_c.js b/documentation/search/defines_c.js
index e1b84b7..3a25786 100644
--- a/documentation/search/defines_c.js
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documentation/search/enumvalues_0.js

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+  ['round',['ROUND',['../namespacearm__compute.xhtml#a5dad01b7eab116403241313417e0936da2ea77cf582892014b30e6fa7e558350d',1,'arm_compute']]],
   ['rsqrt',['RSQRT',['../namespacearm__compute.xhtml#a5dad01b7eab116403241313417e0936da66bac724670f51e77f3688d33ca0d781',1,'arm_compute']]],
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documentation/search/enumvalues_11.js

diff --git a/documentation/search/enumvalues_11.js b/documentation/search/enumvalues_11.js
index 9081dfa..9c88aa3 100644
--- a/documentation/search/enumvalues_11.js
+++ b/documentation/search/enumvalues_11.js
@@ -10,6 +10,7 @@
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+  ['sin',['SIN',['../namespacearm__compute.xhtml#a5dad01b7eab116403241313417e0936da5b001d63db54e7383587771eeb2018a1',1,'arm_compute']]],
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@@ -21,7 +22,7 @@
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-  ['sub',['Sub',['../namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4ae80155eceb940c89e2de63ad05868db2',1,'arm_compute::graph::Sub()'],['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb',1,'arm_compute::SUB()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb',1,'arm_compute::test::validation::reference::SUB()']]],
+  ['sub',['SUB',['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb',1,'arm_compute::SUB()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb',1,'arm_compute::test::validation::reference::SUB()'],['../namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4ae80155eceb940c89e2de63ad05868db2',1,'arm_compute::graph::Sub()']]],
   ['success',['SUCCESS',['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bad0749aaba8b833466dfcbb0428e4f89c',1,'arm_compute::test::framework::TestResult']]],
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documentation/search/enumvalues_12.js

diff --git a/documentation/search/enumvalues_12.js b/documentation/search/enumvalues_12.js
index 59321d3..796761a 100644
--- a/documentation/search/enumvalues_12.js
+++ b/documentation/search/enumvalues_12.js
@@ -16,6 +16,6 @@
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   ['to_5fnearest_5fup',['TO_NEAREST_UP',['../namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea8c0084566b290fa9e5e429f4ae241f95',1,'arm_compute']]],
   ['to_5fzero',['TO_ZERO',['../namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea5631ad8e27788edfca7e13535d862c06',1,'arm_compute::TO_ZERO()'],['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101a5631ad8e27788edfca7e13535d862c06',1,'arm_compute::utils::rounding::TO_ZERO()']]],
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-  ['ttrx',['TTRX',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3ab39f7e42574174cf9ee7da726bdb13b4',1,'arm_compute']]]
+  ['todx',['TODX',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3a6903f06b87f56a4cd0df268ee94dbd6f',1,'arm_compute']]],
+  ['top_5fleft',['TOP_LEFT',['../namespacearm__compute.xhtml#a16a59381d4d74d17d86d69eb4d286d7ba747385047b85ae751f83adb36435a3c1',1,'arm_compute']]]
 ];

documentation/search/enumvalues_14.js

diff --git a/documentation/search/enumvalues_14.js b/documentation/search/enumvalues_14.js
index 1aae25d..7e664c2 100644
--- a/documentation/search/enumvalues_14.js
+++ b/documentation/search/enumvalues_14.js
@@ -1,6 +1,7 @@
 var searchData=
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   ['v',['V',['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa5206560a306a2e085a437fd258eb57ce',1,'arm_compute']]],
+  ['valhall',['VALHALL',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3a35213429e39ad02be7c3c44fc87cde57',1,'arm_compute']]],
   ['validregion',['ValidRegion',['../structarm__compute_1_1_i_o_format_info.xhtml#ae283722f31a4c59039f9abd44f10dbd0a3131a0d8b04c3dbc9119dc93a14bdbb9',1,'arm_compute::IOFormatInfo']]],
   ['verbose',['VERBOSE',['../namespacearm__compute_1_1logging.xhtml#aca1fd1d8935433e6ba2e3918214e07f9aec1f06e9fb39c4ef0729b3c7c9c8e8cc',1,'arm_compute::logging']]]
 ];

documentation/search/enumvalues_2.js

diff --git a/documentation/search/enumvalues_2.js b/documentation/search/enumvalues_2.js
index 105973d..a70ae75 100644
--- a/documentation/search/enumvalues_2.js
+++ b/documentation/search/enumvalues_2.js
@@ -18,6 +18,7 @@
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   ['constant',['CONSTANT',['../namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a8d6b5cada83510220f59e00ce86d4d92',1,'arm_compute::CONSTANT()'],['../namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a8d6b5cada83510220f59e00ce86d4d92',1,'arm_compute::CONSTANT()']]],
+  ['convolution',['CONVOLUTION',['../namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caaf7fb587bad912d390b57a5d6e7ccc55d',1,'arm_compute']]],
   ['convolutionlayer',['ConvolutionLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16aa252659b59a03bc61e5ec827ab4448b7',1,'arm_compute::graph']]],
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@@ -25,5 +26,5 @@
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-  ['custom',['CUSTOM',['../classarm__compute_1_1_scheduler.xhtml#a1d1cfd8ffb84e947f82999c682b666a7a72baef04098f035e8a320b03ad197818',1,'arm_compute::Scheduler::CUSTOM()'],['../structarm__compute_1_1_i_o_format_info.xhtml#a36c28b28da4e04d698d6b598fb1eaca6a90589c47f06eb971d548591f23c285af',1,'arm_compute::IOFormatInfo::Custom()']]]
+  ['custom',['Custom',['../structarm__compute_1_1_i_o_format_info.xhtml#a36c28b28da4e04d698d6b598fb1eaca6a90589c47f06eb971d548591f23c285af',1,'arm_compute::IOFormatInfo::Custom()'],['../classarm__compute_1_1_scheduler.xhtml#a1d1cfd8ffb84e947f82999c682b666a7a72baef04098f035e8a320b03ad197818',1,'arm_compute::Scheduler::CUSTOM()']]]
 ];

documentation/search/enumvalues_3.js

diff --git a/documentation/search/enumvalues_3.js b/documentation/search/enumvalues_3.js
index d90e59b..5e4b677 100644
--- a/documentation/search/enumvalues_3.js
+++ b/documentation/search/enumvalues_3.js
@@ -3,8 +3,10 @@
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   ['deconvolutionlayer',['DeconvolutionLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16ac814c26a7c5317e2a2f58fe0e5a0d410',1,'arm_compute::graph']]],
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+  ['depthwiseconvolution',['DEPTHWISECONVOLUTION',['../namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caa481bc07ed7c792045e8b277c0c88f8d4',1,'arm_compute']]],
   ['depthwiseconvolutionlayer',['DepthwiseConvolutionLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a5b7955cb74be105cc7e044a370d4fce8',1,'arm_compute::graph']]],
   ['detectionoutputlayer',['DetectionOutputLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16ae1b0b91c003f871664a4e289977ef02e',1,'arm_compute::graph']]],
+  ['detectionpostprocesslayer',['DetectionPostProcessLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a0e5a1913b18dbe59dcbcf4e85148802d',1,'arm_compute::graph']]],
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documentation/search/enumvalues_5.js

diff --git a/documentation/search/enumvalues_5.js b/documentation/search/enumvalues_5.js
index 2b30af3..738b275 100644
--- a/documentation/search/enumvalues_5.js
+++ b/documentation/search/enumvalues_5.js
@@ -11,5 +11,6 @@
   ['forward',['Forward',['../namespacearm__compute.xhtml#a86a0c8e195c900a895c249662cfaa564a67d2f6740a8eaebf4d5c6f79be8da481',1,'arm_compute::Forward()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a86a0c8e195c900a895c249662cfaa564a67d2f6740a8eaebf4d5c6f79be8da481',1,'arm_compute::test::validation::reference::Forward()']]],
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   ['fullyconnectedlayer',['FullyConnectedLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a658061ff1dac70c02116fae6c044da1a',1,'arm_compute::graph']]],
-  ['fusedconvolutionbatchnormalizationlayer',['FusedConvolutionBatchNormalizationLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a6f89e5fc5edf43300199d6bc8f5088de',1,'arm_compute::graph']]]
+  ['fusedconvolutionbatchnormalizationlayer',['FusedConvolutionBatchNormalizationLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a6f89e5fc5edf43300199d6bc8f5088de',1,'arm_compute::graph']]],
+  ['fuseddepthwiseconvolutionbatchnormalizationlayer',['FusedDepthwiseConvolutionBatchNormalizationLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a5955c7816e24dbfab34403cca9a133fc',1,'arm_compute::graph']]]
 ];

documentation/search/enumvalues_6.js

diff --git a/documentation/search/enumvalues_6.js b/documentation/search/enumvalues_6.js
index 77f94f3..ec465a8 100644
--- a/documentation/search/enumvalues_6.js
+++ b/documentation/search/enumvalues_6.js
@@ -9,6 +9,7 @@
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+  ['g77',['G77',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3a8e081b1cdec7bc064a67f31560ef7fe0',1,'arm_compute']]],
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documentation/search/enumvalues_8.js

diff --git a/documentation/search/enumvalues_8.js b/documentation/search/enumvalues_8.js
index b6bd343..d6ccdf8 100644
--- a/documentation/search/enumvalues_8.js
+++ b/documentation/search/enumvalues_8.js
@@ -1,5 +1,6 @@
 var searchData=
 [
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documentation/search/enumvalues_a.js

diff --git a/documentation/search/enumvalues_a.js b/documentation/search/enumvalues_a.js
index bd6b0a3..ff9cd64 100644
--- a/documentation/search/enumvalues_a.js
+++ b/documentation/search/enumvalues_a.js
@@ -10,6 +10,7 @@
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documentation/search/enumvalues_b.js

diff --git a/documentation/search/enumvalues_b.js b/documentation/search/enumvalues_b.js
index ad470cc..b3b7d50 100644
--- a/documentation/search/enumvalues_b.js
+++ b/documentation/search/enumvalues_b.js
@@ -1,12 +1,12 @@
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documentation/search/enumvalues_c.js

diff --git a/documentation/search/enumvalues_c.js b/documentation/search/enumvalues_c.js
index c6ca0b8..3e07f59 100644
--- a/documentation/search/enumvalues_c.js
+++ b/documentation/search/enumvalues_c.js
@@ -2,6 +2,7 @@
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+  ['neg',['NEG',['../namespacearm__compute.xhtml#a5dad01b7eab116403241313417e0936da5dd68b1a7db42a1cce4dce09dbaa179e',1,'arm_compute']]],
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documentation/search/enumvalues_e.js

diff --git a/documentation/search/enumvalues_e.js b/documentation/search/enumvalues_e.js
index 1c280bd..b2e7702 100644
--- a/documentation/search/enumvalues_e.js
+++ b/documentation/search/enumvalues_e.js
@@ -7,8 +7,10 @@
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+  ['power',['POWER',['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aeac9c9c146c630ca5ef9197c73c032f4a6',1,'arm_compute']]],
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+  ['prelu',['PRELU',['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea25c5689f5cf73ac778d6aec298e02a7f',1,'arm_compute']]],
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documentation/search/enumvalues_f.js

diff --git a/documentation/search/enumvalues_f.js b/documentation/search/enumvalues_f.js
index 046d58c..6d75ee0 100644
--- a/documentation/search/enumvalues_f.js
+++ b/documentation/search/enumvalues_f.js
@@ -1,6 +1,10 @@
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+  ['qsymm16',['QSYMM16',['../namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6',1,'arm_compute']]],
+  ['qsymm8',['QSYMM8',['../namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a5f007421a4becd11c0666c2058b0b36c',1,'arm_compute']]],
+  ['qsymm8_5fper_5fchannel',['QSYMM8_PER_CHANNEL',['../namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a34f500e941c4df30b870126ec868ebd5',1,'arm_compute']]],
+  ['quantizationlayer',['QuantizationLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a399e260d5d6886e9917d4313cd05f6fe',1,'arm_compute::graph']]],
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   ['quantize_5fdown_5ffixedpoint',['QUANTIZE_DOWN_FIXEDPOINT',['../namespacearm__compute.xhtml#a5558e2cc22f7f4771653d992c8ad8864ab300cae200f67712c1eb9234e28158ca',1,'arm_compute']]],
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documentation/search/files_1.js

diff --git a/documentation/search/files_1.js b/documentation/search/files_1.js
index 41f21fb..d81776e 100644
--- a/documentation/search/files_1.js
+++ b/documentation/search/files_1.js
@@ -5,7 +5,7 @@
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   ['a53_2ecpp',['a53.cpp',['../a32__sgemm__8x6_2a53_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2a53_8cpp.xhtml',1,'(Global Namespace)']]],
-  ['a55_2ecpp',['a55.cpp',['../a64__hybrid__fp32__mla__16x4_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__s8s32__dot__16x4_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__u8u32__dot__16x4_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2a55_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['a55_2ecpp',['a55.cpp',['../a64__hybrid__fp32__mla__16x4_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__s8s32__dot__16x4_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__u8u32__dot__16x4_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__s8s32__dot__4x6_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__s8s32__dot__4x8_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__u8u32__dot__4x6_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__u8u32__dot__4x8_2a55_8cpp.xhtml',1,'(Global Namespace)']]],
   ['a55r1_2ecpp',['a55r1.cpp',['../a32__sgemm__8x6_2a55r1_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__12x8_2a55r1_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__12x8_2a55r1_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hgemm__24x8_2a55r1_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2a55r1_8cpp.xhtml',1,'(Global Namespace)']]],
   ['a64_5fblock16_5finterleave4_5f8bit_2ehpp',['a64_block16_interleave4_8bit.hpp',['../a64__block16__interleave4__8bit_8hpp.xhtml',1,'']]],
   ['a64_5fgemm_5fs16_5f12x8_2ehpp',['a64_gemm_s16_12x8.hpp',['../a64__gemm__s16__12x8_8hpp.xhtml',1,'']]],
@@ -31,11 +31,16 @@
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   ['a64_5fsgemv_5fpretransposed_2ehpp',['a64_sgemv_pretransposed.hpp',['../a64__sgemv__pretransposed_8hpp.xhtml',1,'']]],
   ['a64_5fsgemv_5ftrans_2ehpp',['a64_sgemv_trans.hpp',['../a64__sgemv__trans_8hpp.xhtml',1,'']]],
+  ['a64_5fsmallk_5fhybrid_5fs8s32_5fdot_5f4x6_2ehpp',['a64_smallK_hybrid_s8s32_dot_4x6.hpp',['../a64__small_k__hybrid__s8s32__dot__4x6_8hpp.xhtml',1,'']]],
+  ['a64_5fsmallk_5fhybrid_5fs8s32_5fdot_5f4x8_2ehpp',['a64_smallK_hybrid_s8s32_dot_4x8.hpp',['../a64__small_k__hybrid__s8s32__dot__4x8_8hpp.xhtml',1,'']]],
+  ['a64_5fsmallk_5fhybrid_5fu8u32_5fdot_5f4x6_2ehpp',['a64_smallK_hybrid_u8u32_dot_4x6.hpp',['../a64__small_k__hybrid__u8u32__dot__4x6_8hpp.xhtml',1,'']]],
+  ['a64_5fsmallk_5fhybrid_5fu8u32_5fdot_5f4x8_2ehpp',['a64_smallK_hybrid_u8u32_dot_4x8.hpp',['../a64__small_k__hybrid__u8u32__dot__4x8_8hpp.xhtml',1,'']]],
   ['a64_5ftranspose_5finterleave_5f12way_5f16bit_2ehpp',['a64_transpose_interleave_12way_16bit.hpp',['../a64__transpose__interleave__12way__16bit_8hpp.xhtml',1,'']]],
   ['a64_5ftranspose_5finterleave_5f12way_5fhalf_5fto_5ffloat_2ehpp',['a64_transpose_interleave_12way_half_to_float.hpp',['../a64__transpose__interleave__12way__half__to__float_8hpp.xhtml',1,'']]],
   ['a64_5ftranspose_5finterleave_5f24way_5f16bit_2ehpp',['a64_transpose_interleave_24way_16bit.hpp',['../a64__transpose__interleave__24way__16bit_8hpp.xhtml',1,'']]],
   ['abs_2eh',['abs.h',['../abs_8h.xhtml',1,'']]],
   ['absdiff_2ecl',['absdiff.cl',['../absdiff_8cl.xhtml',1,'']]],
+  ['abslayer_2ecpp',['AbsLayer.cpp',['../_abs_layer_8cpp.xhtml',1,'']]],
   ['absolutedifference_2ecpp',['AbsoluteDifference.cpp',['../_c_l_2_absolute_difference_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_absolute_difference_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_absolute_difference_8cpp.xhtml',1,'(Global Namespace)']]],
   ['absolutedifference_2eh',['AbsoluteDifference.h',['../_absolute_difference_8h.xhtml',1,'']]],
   ['accessor_2eh',['Accessor.h',['../_accessor_8h.xhtml',1,'']]],
@@ -48,9 +53,10 @@
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   ['accumulate_2ecpp',['Accumulate.cpp',['../_c_l_2_accumulate_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_accumulate_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_accumulate_8cpp.xhtml',1,'(Global Namespace)']]],
   ['accumulate_2eh',['Accumulate.h',['../_accumulate_8h.xhtml',1,'']]],
-  ['activation_5fhelpers_2eh',['activation_helpers.h',['../activation__helpers_8h.xhtml',1,'']]],
+  ['activation_5ffloat_5fhelpers_2eh',['activation_float_helpers.h',['../activation__float__helpers_8h.xhtml',1,'']]],
   ['activation_5flayer_2ecl',['activation_layer.cl',['../activation__layer_8cl.xhtml',1,'']]],
-  ['activation_5flayer_5fqa8_2ecl',['activation_layer_qa8.cl',['../activation__layer__qa8_8cl.xhtml',1,'']]],
+  ['activation_5flayer_5fquant_2ecl',['activation_layer_quant.cl',['../activation__layer__quant_8cl.xhtml',1,'']]],
+  ['activation_5fquant_5fhelpers_2eh',['activation_quant_helpers.h',['../activation__quant__helpers_8h.xhtml',1,'']]],
   ['activationlayer_2ecpp',['ActivationLayer.cpp',['../benchmark_2_c_l_2_activation_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_activation_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_activation_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_activation_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_activation_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_activation_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_activation_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['activationlayer_2eh',['ActivationLayer.h',['../_activation_layer_8h.xhtml',1,'']]],
   ['activationlayernode_2ecpp',['ActivationLayerNode.cpp',['../_activation_layer_node_8cpp.xhtml',1,'']]],

documentation/search/files_10.js

diff --git a/documentation/search/files_10.js b/documentation/search/files_10.js
index bfebe50..645125d 100644
--- a/documentation/search/files_10.js
+++ b/documentation/search/files_10.js
@@ -35,6 +35,7 @@
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   ['poolmanager_2eh',['PoolManager.h',['../_pool_manager_8h.xhtml',1,'']]],
   ['pow_2eh',['pow.h',['../pow_8h.xhtml',1,'']]],
+  ['prelulayer_2ecpp',['PReluLayer.cpp',['../_c_l_2_p_relu_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_p_relu_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['prettyprinter_2ecpp',['PrettyPrinter.cpp',['../_pretty_printer_8cpp.xhtml',1,'']]],
   ['prettyprinter_2eh',['PrettyPrinter.h',['../_pretty_printer_8h.xhtml',1,'']]],
   ['printer_2ecpp',['Printer.cpp',['../_printer_8cpp.xhtml',1,'']]],

documentation/search/files_11.js

diff --git a/documentation/search/files_11.js b/documentation/search/files_11.js
index 2f68980..936887b 100644
--- a/documentation/search/files_11.js
+++ b/documentation/search/files_11.js
@@ -1,8 +1,12 @@
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-  ['qasymm8_2einl',['QAsymm8.inl',['../_q_asymm8_8inl.xhtml',1,'']]],
   ['quantization_5flayer_2ecl',['quantization_layer.cl',['../quantization__layer_8cl.xhtml',1,'']]],
+  ['quantizationinfo_2eh',['QuantizationInfo.h',['../_quantization_info_8h.xhtml',1,'']]],
   ['quantizationlayer_2ecpp',['QuantizationLayer.cpp',['../benchmark_2_c_l_2_quantization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_quantization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_quantization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_quantization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_quantization_layer_8cpp.xhtml',1,'(Global Namespace)']]],
-  ['quantizationlayer_2eh',['QuantizationLayer.h',['../_quantization_layer_8h.xhtml',1,'']]]
+  ['quantizationlayer_2eh',['QuantizationLayer.h',['../_quantization_layer_8h.xhtml',1,'']]],
+  ['quantizationlayernode_2ecpp',['QuantizationLayerNode.cpp',['../_quantization_layer_node_8cpp.xhtml',1,'']]],
+  ['quantizationlayernode_2eh',['QuantizationLayerNode.h',['../_quantization_layer_node_8h.xhtml',1,'']]],
+  ['quantize_5fwrapper_2ehpp',['quantize_wrapper.hpp',['../quantize__wrapper_8hpp.xhtml',1,'']]],
+  ['quantized_2ecpp',['quantized.cpp',['../quantized_8cpp.xhtml',1,'']]],
+  ['quantized_2ehpp',['quantized.hpp',['../quantized_8hpp.xhtml',1,'']]]
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documentation/search/files_12.js

diff --git a/documentation/search/files_12.js b/documentation/search/files_12.js
index 4236cb6..d563362 100644
--- a/documentation/search/files_12.js
+++ b/documentation/search/files_12.js
@@ -41,7 +41,9 @@
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   ['roipoolinglayer_2ecpp',['ROIPoolingLayer.cpp',['../_c_l_2_r_o_i_pooling_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_r_o_i_pooling_layer_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['round_2eh',['round.h',['../round_8h.xhtml',1,'']]],
   ['rounding_2ecpp',['Rounding.cpp',['../_rounding_8cpp.xhtml',1,'']]],
   ['rounding_2eh',['Rounding.h',['../_rounding_8h.xhtml',1,'(Global Namespace)'],['../utils_2misc_2_rounding_8h.xhtml',1,'(Global Namespace)']]],
+  ['roundlayer_2ecpp',['RoundLayer.cpp',['../_round_layer_8cpp.xhtml',1,'']]],
   ['rsqrtlayer_2ecpp',['RsqrtLayer.cpp',['../_rsqrt_layer_8cpp.xhtml',1,'']]]
 ];

documentation/search/files_13.js

diff --git a/documentation/search/files_13.js b/documentation/search/files_13.js
index fb9b39b..235b912 100644
--- a/documentation/search/files_13.js
+++ b/documentation/search/files_13.js
@@ -24,9 +24,11 @@
   ['simpletensor_2eh',['SimpleTensor.h',['../_simple_tensor_8h.xhtml',1,'']]],
   ['simpletensoraccessor_2eh',['SimpleTensorAccessor.h',['../_simple_tensor_accessor_8h.xhtml',1,'']]],
   ['simpletensorprinter_2eh',['SimpleTensorPrinter.h',['../_simple_tensor_printer_8h.xhtml',1,'']]],
+  ['sin_2eh',['sin.h',['../sin_8h.xhtml',1,'']]],
   ['singlethreadscheduler_2ecpp',['SingleThreadScheduler.cpp',['../_single_thread_scheduler_8cpp.xhtml',1,'']]],
   ['singlethreadscheduler_2eh',['SingleThreadScheduler.h',['../_single_thread_scheduler_8h.xhtml',1,'']]],
   ['singletondataset_2eh',['SingletonDataset.h',['../_singleton_dataset_8h.xhtml',1,'']]],
+  ['sinlayer_2ecpp',['SinLayer.cpp',['../_sin_layer_8cpp.xhtml',1,'']]],
   ['size2d_2eh',['Size2D.h',['../_size2_d_8h.xhtml',1,'']]],
   ['slice_2ecpp',['Slice.cpp',['../_c_l_2_slice_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_slice_8cpp.xhtml',1,'(Global Namespace)']]],
   ['slice_5fops_2ecl',['slice_ops.cl',['../slice__ops_8cl.xhtml',1,'']]],
@@ -44,9 +46,13 @@
   ['softmaxlayernode_2ecpp',['SoftmaxLayerNode.cpp',['../_softmax_layer_node_8cpp.xhtml',1,'']]],
   ['softmaxlayernode_2eh',['SoftmaxLayerNode.h',['../_softmax_layer_node_8h.xhtml',1,'']]],
   ['space_5fto_5fbatch_2ecl',['space_to_batch.cl',['../space__to__batch_8cl.xhtml',1,'']]],
+  ['space_5fto_5fdepth_2ecl',['space_to_depth.cl',['../space__to__depth_8cl.xhtml',1,'']]],
   ['spacetobatch_2ecpp',['SpaceToBatch.cpp',['../_space_to_batch_8cpp.xhtml',1,'']]],
   ['spacetobatch_2eh',['SpaceToBatch.h',['../_space_to_batch_8h.xhtml',1,'']]],
   ['spacetobatchlayer_2ecpp',['SpaceToBatchLayer.cpp',['../_c_l_2_space_to_batch_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_space_to_batch_layer_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['spacetodepth_2ecpp',['SpaceToDepth.cpp',['../_space_to_depth_8cpp.xhtml',1,'']]],
+  ['spacetodepth_2eh',['SpaceToDepth.h',['../_space_to_depth_8h.xhtml',1,'']]],
+  ['spacetodepthlayer_2ecpp',['SpaceToDepthLayer.cpp',['../_c_l_2_space_to_depth_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_space_to_depth_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['split_2ecpp',['Split.cpp',['../_c_l_2_split_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_split_8cpp.xhtml',1,'(Global Namespace)']]],
   ['splitlayernode_2ecpp',['SplitLayerNode.cpp',['../_split_layer_node_8cpp.xhtml',1,'']]],
   ['splitlayernode_2eh',['SplitLayerNode.h',['../_split_layer_node_8h.xhtml',1,'']]],
@@ -86,10 +92,14 @@
   ['sve_5finterleaved_5fu8u32_5fdot_5f3vlx8_2ehpp',['sve_interleaved_u8u32_dot_3VLx8.hpp',['../sve__interleaved__u8u32__dot__3_v_lx8_8hpp.xhtml',1,'']]],
   ['sve_5fmerge_5ffp32_5f2vlx8_2ehpp',['sve_merge_fp32_2VLx8.hpp',['../sve__merge__fp32__2_v_lx8_8hpp.xhtml',1,'']]],
   ['sve_5fmerge_5ffp32_5f3vlx8_2ehpp',['sve_merge_fp32_3VLx8.hpp',['../sve__merge__fp32__3_v_lx8_8hpp.xhtml',1,'']]],
+  ['sve_5fmerge_5fs32_5f3vlx8_2ehpp',['sve_merge_s32_3VLx8.hpp',['../sve__merge__s32__3_v_lx8_8hpp.xhtml',1,'']]],
+  ['sve_5fmerge_5fu32_5f3vlx8_2ehpp',['sve_merge_u32_3VLx8.hpp',['../sve__merge__u32__3_v_lx8_8hpp.xhtml',1,'']]],
   ['sve_5fnative_5ffp16_5fmla_5f4vlx4_2ehpp',['sve_native_fp16_mla_4VLx4.hpp',['../sve__native__fp16__mla__4_v_lx4_8hpp.xhtml',1,'']]],
   ['sve_5fnative_5ffp32_5fmla_5f4vlx4_2ehpp',['sve_native_fp32_mla_4VLx4.hpp',['../sve__native__fp32__mla__4_v_lx4_8hpp.xhtml',1,'']]],
   ['sve_5fnative_5fs8s32_5fdot_5f4vlx4_2ehpp',['sve_native_s8s32_dot_4VLx4.hpp',['../sve__native__s8s32__dot__4_v_lx4_8hpp.xhtml',1,'']]],
   ['sve_5fnative_5fu8u32_5fdot_5f4vlx4_2ehpp',['sve_native_u8u32_dot_4VLx4.hpp',['../sve__native__u8u32__dot__4_v_lx4_8hpp.xhtml',1,'']]],
   ['sve_5fsmallk_5ffp32_5fmla_5f1vlx4_2ehpp',['sve_smallK_fp32_mla_1VLx4.hpp',['../sve__small_k__fp32__mla__1_v_lx4_8hpp.xhtml',1,'']]],
-  ['sve_5fsmallk_5fhybrid_5ffp32_5fmla_5f1vlx4_2ehpp',['sve_smallK_hybrid_fp32_mla_1VLx4.hpp',['../sve__small_k__hybrid__fp32__mla__1_v_lx4_8hpp.xhtml',1,'']]]
+  ['sve_5fsmallk_5fhybrid_5ffp32_5fmla_5f1vlx4_2ehpp',['sve_smallK_hybrid_fp32_mla_1VLx4.hpp',['../sve__small_k__hybrid__fp32__mla__1_v_lx4_8hpp.xhtml',1,'']]],
+  ['sve_5fsmallk_5fhybrid_5fs8s32_5fdot_5f1vlx8_2ehpp',['sve_smallK_hybrid_s8s32_dot_1VLx8.hpp',['../sve__small_k__hybrid__s8s32__dot__1_v_lx8_8hpp.xhtml',1,'']]],
+  ['sve_5fsmallk_5fhybrid_5fu8u32_5fdot_5f1vlx8_2ehpp',['sve_smallK_hybrid_u8u32_dot_1VLx8.hpp',['../sve__small_k__hybrid__u8u32__dot__1_v_lx8_8hpp.xhtml',1,'']]]
 ];

documentation/search/files_2.js

diff --git a/documentation/search/files_2.js b/documentation/search/files_2.js
index 9f3f5df..ebec3c4 100644
--- a/documentation/search/files_2.js
+++ b/documentation/search/files_2.js
@@ -3,7 +3,9 @@
   ['backendregistrar_2eh',['BackendRegistrar.h',['../_backend_registrar_8h.xhtml',1,'']]],
   ['backendregistry_2ecpp',['BackendRegistry.cpp',['../_backend_registry_8cpp.xhtml',1,'']]],
   ['backendregistry_2eh',['BackendRegistry.h',['../_backend_registry_8h.xhtml',1,'']]],
+  ['barrier_2ehpp',['barrier.hpp',['../barrier_8hpp.xhtml',1,'']]],
   ['batch_5fto_5fspace_2ecl',['batch_to_space.cl',['../batch__to__space_8cl.xhtml',1,'']]],
+  ['batchconcatenatelayer_2ecpp',['BatchConcatenateLayer.cpp',['../_c_l_2_batch_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_batch_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['batchnormalization_5flayer_2ecl',['batchnormalization_layer.cl',['../batchnormalization__layer_8cl.xhtml',1,'']]],
   ['batchnormalizationlayer_2ecpp',['BatchNormalizationLayer.cpp',['../benchmark_2_c_l_2_batch_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_batch_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_batch_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_batch_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_batch_normalization_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['batchnormalizationlayer_2eh',['BatchNormalizationLayer.h',['../_batch_normalization_layer_8h.xhtml',1,'']]],

documentation/search/files_3.js

diff --git a/documentation/search/files_3.js b/documentation/search/files_3.js
index 688f501..2bd5102 100644
--- a/documentation/search/files_3.js
+++ b/documentation/search/files_3.js
@@ -5,7 +5,7 @@
   ['cannyedgedetector_2ecpp',['CannyEdgeDetector.cpp',['../_canny_edge_detector_8cpp.xhtml',1,'']]],
   ['cannyedgedetector_2eh',['CannyEdgeDetector.h',['../_canny_edge_detector_8h.xhtml',1,'']]],
   ['cartesianproductdataset_2eh',['CartesianProductDataset.h',['../_cartesian_product_dataset_8h.xhtml',1,'']]],
-  ['cast_2ecpp',['Cast.cpp',['../_cast_8cpp.xhtml',1,'']]],
+  ['cast_2ecpp',['Cast.cpp',['../_c_l_2_cast_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_cast_8cpp.xhtml',1,'(Global Namespace)']]],
   ['cast_2eh',['Cast.h',['../_cast_8h.xhtml',1,'']]],
   ['ceq_2eh',['ceq.h',['../ceq_8h.xhtml',1,'']]],
   ['cge_2eh',['cge.h',['../cge_8h.xhtml',1,'']]],
@@ -21,6 +21,7 @@
   ['channelshuffle_2eh',['ChannelShuffle.h',['../_channel_shuffle_8h.xhtml',1,'']]],
   ['channelshufflelayernode_2ecpp',['ChannelShuffleLayerNode.cpp',['../_channel_shuffle_layer_node_8cpp.xhtml',1,'']]],
   ['channelshufflelayernode_2eh',['ChannelShuffleLayerNode.h',['../_channel_shuffle_layer_node_8h.xhtml',1,'']]],
+  ['cl_5fcache_2ecpp',['cl_cache.cpp',['../cl__cache_8cpp.xhtml',1,'']]],
   ['cl_5fconvolution_2ecpp',['cl_convolution.cpp',['../cl__convolution_8cpp.xhtml',1,'']]],
   ['cl_5fevents_2ecpp',['cl_events.cpp',['../cl__events_8cpp.xhtml',1,'']]],
   ['cl_5fsgemm_2ecpp',['cl_sgemm.cpp',['../cl__sgemm_8cpp.xhtml',1,'']]],
@@ -41,6 +42,8 @@
   ['clargminmaxlayer_2eh',['CLArgMinMaxLayer.h',['../_c_l_arg_min_max_layer_8h.xhtml',1,'']]],
   ['clarray_2eh',['CLArray.h',['../_c_l_array_8h.xhtml',1,'']]],
   ['clarrayaccessor_2eh',['CLArrayAccessor.h',['../_c_l_array_accessor_8h.xhtml',1,'']]],
+  ['clbatchconcatenatelayerkernel_2ecpp',['CLBatchConcatenateLayerKernel.cpp',['../_c_l_batch_concatenate_layer_kernel_8cpp.xhtml',1,'']]],
+  ['clbatchconcatenatelayerkernel_2eh',['CLBatchConcatenateLayerKernel.h',['../_c_l_batch_concatenate_layer_kernel_8h.xhtml',1,'']]],
   ['clbatchnormalizationlayer_2ecpp',['CLBatchNormalizationLayer.cpp',['../_c_l_batch_normalization_layer_8cpp.xhtml',1,'']]],
   ['clbatchnormalizationlayer_2eh',['CLBatchNormalizationLayer.h',['../_c_l_batch_normalization_layer_8h.xhtml',1,'']]],
   ['clbatchnormalizationlayerkernel_2ecpp',['CLBatchNormalizationLayerKernel.cpp',['../_c_l_batch_normalization_layer_kernel_8cpp.xhtml',1,'']]],
@@ -133,14 +136,16 @@
   ['cldeconvolutionlayerupsamplekernel_2eh',['CLDeconvolutionLayerUpsampleKernel.h',['../_c_l_deconvolution_layer_upsample_kernel_8h.xhtml',1,'']]],
   ['cldeconvolutionreshapeoutputkernel_2ecpp',['CLDeconvolutionReshapeOutputKernel.cpp',['../_c_l_deconvolution_reshape_output_kernel_8cpp.xhtml',1,'']]],
   ['cldeconvolutionreshapeoutputkernel_2eh',['CLDeconvolutionReshapeOutputKernel.h',['../_c_l_deconvolution_reshape_output_kernel_8h.xhtml',1,'']]],
-  ['cldepthconcatenatelayer_2ecpp',['CLDepthConcatenateLayer.cpp',['../_c_l_depth_concatenate_layer_8cpp.xhtml',1,'']]],
-  ['cldepthconcatenatelayer_2eh',['CLDepthConcatenateLayer.h',['../_c_l_depth_concatenate_layer_8h.xhtml',1,'']]],
   ['cldepthconcatenatelayerkernel_2ecpp',['CLDepthConcatenateLayerKernel.cpp',['../_c_l_depth_concatenate_layer_kernel_8cpp.xhtml',1,'']]],
   ['cldepthconcatenatelayerkernel_2eh',['CLDepthConcatenateLayerKernel.h',['../_c_l_depth_concatenate_layer_kernel_8h.xhtml',1,'']]],
   ['cldepthconvertlayer_2ecpp',['CLDepthConvertLayer.cpp',['../_c_l_depth_convert_layer_8cpp.xhtml',1,'']]],
   ['cldepthconvertlayer_2eh',['CLDepthConvertLayer.h',['../_c_l_depth_convert_layer_8h.xhtml',1,'']]],
   ['cldepthconvertlayerkernel_2ecpp',['CLDepthConvertLayerKernel.cpp',['../_c_l_depth_convert_layer_kernel_8cpp.xhtml',1,'']]],
   ['cldepthconvertlayerkernel_2eh',['CLDepthConvertLayerKernel.h',['../_c_l_depth_convert_layer_kernel_8h.xhtml',1,'']]],
+  ['cldepthtospacelayer_2ecpp',['CLDepthToSpaceLayer.cpp',['../_c_l_depth_to_space_layer_8cpp.xhtml',1,'']]],
+  ['cldepthtospacelayer_2eh',['CLDepthToSpaceLayer.h',['../_c_l_depth_to_space_layer_8h.xhtml',1,'']]],
+  ['cldepthtospacelayerkernel_2ecpp',['CLDepthToSpaceLayerKernel.cpp',['../_c_l_depth_to_space_layer_kernel_8cpp.xhtml',1,'']]],
+  ['cldepthtospacelayerkernel_2eh',['CLDepthToSpaceLayerKernel.h',['../_c_l_depth_to_space_layer_kernel_8h.xhtml',1,'']]],
   ['cldepthwiseconvolutionlayer_2ecpp',['CLDepthwiseConvolutionLayer.cpp',['../_c_l_depthwise_convolution_layer_8cpp.xhtml',1,'']]],
   ['cldepthwiseconvolutionlayer_2eh',['CLDepthwiseConvolutionLayer.h',['../_c_l_depthwise_convolution_layer_8h.xhtml',1,'']]],
   ['cldepthwiseconvolutionlayer3x3nchwkernel_2ecpp',['CLDepthwiseConvolutionLayer3x3NCHWKernel.cpp',['../_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel_8cpp.xhtml',1,'']]],
@@ -256,14 +261,12 @@
   ['clgemmdeconvolutionlayer_2eh',['CLGEMMDeconvolutionLayer.h',['../_c_l_g_e_m_m_deconvolution_layer_8h.xhtml',1,'']]],
   ['clgemmhelpers_2ecpp',['CLGEMMHelpers.cpp',['../_c_l_g_e_m_m_helpers_8cpp.xhtml',1,'']]],
   ['clgemmhelpers_2eh',['CLGEMMHelpers.h',['../_c_l_g_e_m_m_helpers_8h.xhtml',1,'']]],
-  ['clgemminterleave4x4_2ecpp',['CLGEMMInterleave4x4.cpp',['../_c_l_g_e_m_m_interleave4x4_8cpp.xhtml',1,'']]],
-  ['clgemminterleave4x4_2eh',['CLGEMMInterleave4x4.h',['../_c_l_g_e_m_m_interleave4x4_8h.xhtml',1,'']]],
-  ['clgemminterleave4x4kernel_2ecpp',['CLGEMMInterleave4x4Kernel.cpp',['../_c_l_g_e_m_m_interleave4x4_kernel_8cpp.xhtml',1,'']]],
-  ['clgemminterleave4x4kernel_2eh',['CLGEMMInterleave4x4Kernel.h',['../_c_l_g_e_m_m_interleave4x4_kernel_8h.xhtml',1,'']]],
   ['clgemmlowpmatrixmultiplycore_2ecpp',['CLGEMMLowpMatrixMultiplyCore.cpp',['../_c_l_g_e_m_m_lowp_matrix_multiply_core_8cpp.xhtml',1,'']]],
   ['clgemmlowpmatrixmultiplycore_2eh',['CLGEMMLowpMatrixMultiplyCore.h',['../_c_l_g_e_m_m_lowp_matrix_multiply_core_8h.xhtml',1,'']]],
   ['clgemmlowpmatrixmultiplykernel_2ecpp',['CLGEMMLowpMatrixMultiplyKernel.cpp',['../_c_l_g_e_m_m_lowp_matrix_multiply_kernel_8cpp.xhtml',1,'']]],
   ['clgemmlowpmatrixmultiplykernel_2eh',['CLGEMMLowpMatrixMultiplyKernel.h',['../_c_l_g_e_m_m_lowp_matrix_multiply_kernel_8h.xhtml',1,'']]],
+  ['clgemmlowpmatrixmultiplynativekernel_2ecpp',['CLGEMMLowpMatrixMultiplyNativeKernel.cpp',['../_c_l_g_e_m_m_lowp_matrix_multiply_native_kernel_8cpp.xhtml',1,'']]],
+  ['clgemmlowpmatrixmultiplynativekernel_2eh',['CLGEMMLowpMatrixMultiplyNativeKernel.h',['../_c_l_g_e_m_m_lowp_matrix_multiply_native_kernel_8h.xhtml',1,'']]],
   ['clgemmlowpmatrixmultiplyreshapedkernel_2ecpp',['CLGEMMLowpMatrixMultiplyReshapedKernel.cpp',['../_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel_8cpp.xhtml',1,'']]],
   ['clgemmlowpmatrixmultiplyreshapedkernel_2eh',['CLGEMMLowpMatrixMultiplyReshapedKernel.h',['../_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel_8h.xhtml',1,'']]],
   ['clgemmlowpmatrixmultiplyreshapedonlyrhskernel_2ecpp',['CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.cpp',['../_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_only_r_h_s_kernel_8cpp.xhtml',1,'']]],
@@ -274,6 +277,8 @@
   ['clgemmlowpoffsetcontributionoutputstagekernel_2eh',['CLGEMMLowpOffsetContributionOutputStageKernel.h',['../_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8h.xhtml',1,'']]],
   ['clgemmlowpoutputstage_2ecpp',['CLGEMMLowpOutputStage.cpp',['../_c_l_g_e_m_m_lowp_output_stage_8cpp.xhtml',1,'']]],
   ['clgemmlowpoutputstage_2eh',['CLGEMMLowpOutputStage.h',['../_c_l_g_e_m_m_lowp_output_stage_8h.xhtml',1,'']]],
+  ['clgemmlowpquantizedownint32toint16scalebyfixedpointkernel_2ecpp',['CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.cpp',['../_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel_8cpp.xhtml',1,'']]],
+  ['clgemmlowpquantizedownint32toint16scalebyfixedpointkernel_2eh',['CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h',['../_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel_8h.xhtml',1,'']]],
   ['clgemmlowpquantizedownint32touint8scalebyfixedpointkernel_2ecpp',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp',['../_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel_8cpp.xhtml',1,'']]],
   ['clgemmlowpquantizedownint32touint8scalebyfixedpointkernel_2eh',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h',['../_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel_8h.xhtml',1,'']]],
   ['clgemmlowpquantizedownint32touint8scalebyfloatkernel_2ecpp',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel.cpp',['../_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel_8cpp.xhtml',1,'']]],
@@ -288,12 +293,17 @@
   ['clgemmmatrixadditionkernel_2eh',['CLGEMMMatrixAdditionKernel.h',['../_c_l_g_e_m_m_matrix_addition_kernel_8h.xhtml',1,'']]],
   ['clgemmmatrixmultiplykernel_2ecpp',['CLGEMMMatrixMultiplyKernel.cpp',['../_c_l_g_e_m_m_matrix_multiply_kernel_8cpp.xhtml',1,'']]],
   ['clgemmmatrixmultiplykernel_2eh',['CLGEMMMatrixMultiplyKernel.h',['../_c_l_g_e_m_m_matrix_multiply_kernel_8h.xhtml',1,'']]],
+  ['clgemmmatrixmultiplynativekernel_2ecpp',['CLGEMMMatrixMultiplyNativeKernel.cpp',['../_c_l_g_e_m_m_matrix_multiply_native_kernel_8cpp.xhtml',1,'']]],
+  ['clgemmmatrixmultiplynativekernel_2eh',['CLGEMMMatrixMultiplyNativeKernel.h',['../_c_l_g_e_m_m_matrix_multiply_native_kernel_8h.xhtml',1,'']]],
   ['clgemmmatrixmultiplyreshapedkernel_2ecpp',['CLGEMMMatrixMultiplyReshapedKernel.cpp',['../_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8cpp.xhtml',1,'']]],
   ['clgemmmatrixmultiplyreshapedkernel_2eh',['CLGEMMMatrixMultiplyReshapedKernel.h',['../_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8h.xhtml',1,'']]],
   ['clgemmmatrixmultiplyreshapedonlyrhskernel_2ecpp',['CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp',['../_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel_8cpp.xhtml',1,'']]],
   ['clgemmmatrixmultiplyreshapedonlyrhskernel_2eh',['CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h',['../_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel_8h.xhtml',1,'']]],
   ['clgemmmatrixvectormultiplykernel_2ecpp',['CLGEMMMatrixVectorMultiplyKernel.cpp',['../_c_l_g_e_m_m_matrix_vector_multiply_kernel_8cpp.xhtml',1,'']]],
   ['clgemmmatrixvectormultiplykernel_2eh',['CLGEMMMatrixVectorMultiplyKernel.h',['../_c_l_g_e_m_m_matrix_vector_multiply_kernel_8h.xhtml',1,'']]],
+  ['clgemmnativekernelconfiguration_2eh',['CLGEMMNativeKernelConfiguration.h',['../_c_l_g_e_m_m_native_kernel_configuration_8h.xhtml',1,'']]],
+  ['clgemmnativekernelconfigurationbifrost_2ecpp',['CLGEMMNativeKernelConfigurationBifrost.cpp',['../_c_l_g_e_m_m_native_kernel_configuration_bifrost_8cpp.xhtml',1,'']]],
+  ['clgemmnativekernelconfigurationbifrost_2eh',['CLGEMMNativeKernelConfigurationBifrost.h',['../_c_l_g_e_m_m_native_kernel_configuration_bifrost_8h.xhtml',1,'']]],
   ['clgemmreshapedkernelconfiguration_2eh',['CLGEMMReshapedKernelConfiguration.h',['../_c_l_g_e_m_m_reshaped_kernel_configuration_8h.xhtml',1,'']]],
   ['clgemmreshapedkernelconfigurationbifrost_2ecpp',['CLGEMMReshapedKernelConfigurationBifrost.cpp',['../_c_l_g_e_m_m_reshaped_kernel_configuration_bifrost_8cpp.xhtml',1,'']]],
   ['clgemmreshapedkernelconfigurationbifrost_2eh',['CLGEMMReshapedKernelConfigurationBifrost.h',['../_c_l_g_e_m_m_reshaped_kernel_configuration_bifrost_8h.xhtml',1,'']]],
@@ -304,10 +314,6 @@
   ['clgemmreshapelhsmatrixkernel_2eh',['CLGEMMReshapeLHSMatrixKernel.h',['../_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel_8h.xhtml',1,'']]],
   ['clgemmreshaperhsmatrixkernel_2ecpp',['CLGEMMReshapeRHSMatrixKernel.cpp',['../_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_8cpp.xhtml',1,'']]],
   ['clgemmreshaperhsmatrixkernel_2eh',['CLGEMMReshapeRHSMatrixKernel.h',['../_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_8h.xhtml',1,'']]],
-  ['clgemmtranspose1xw_2ecpp',['CLGEMMTranspose1xW.cpp',['../_c_l_g_e_m_m_transpose1x_w_8cpp.xhtml',1,'']]],
-  ['clgemmtranspose1xw_2eh',['CLGEMMTranspose1xW.h',['../_c_l_g_e_m_m_transpose1x_w_8h.xhtml',1,'']]],
-  ['clgemmtranspose1xwkernel_2ecpp',['CLGEMMTranspose1xWKernel.cpp',['../_c_l_g_e_m_m_transpose1x_w_kernel_8cpp.xhtml',1,'']]],
-  ['clgemmtranspose1xwkernel_2eh',['CLGEMMTranspose1xWKernel.h',['../_c_l_g_e_m_m_transpose1x_w_kernel_8h.xhtml',1,'']]],
   ['clgenerateproposalslayer_2ecpp',['CLGenerateProposalsLayer.cpp',['../_c_l_generate_proposals_layer_8cpp.xhtml',1,'']]],
   ['clgenerateproposalslayer_2eh',['CLGenerateProposalsLayer.h',['../_c_l_generate_proposals_layer_8h.xhtml',1,'']]],
   ['clgenerateproposalslayerkernel_2ecpp',['CLGenerateProposalsLayerKernel.cpp',['../_c_l_generate_proposals_layer_kernel_8cpp.xhtml',1,'']]],
@@ -364,6 +370,8 @@
   ['cllocallyconnectedmatrixmultiplykernel_2eh',['CLLocallyConnectedMatrixMultiplyKernel.h',['../_c_l_locally_connected_matrix_multiply_kernel_8h.xhtml',1,'']]],
   ['cllstmlayer_2ecpp',['CLLSTMLayer.cpp',['../_c_l_l_s_t_m_layer_8cpp.xhtml',1,'']]],
   ['cllstmlayer_2eh',['CLLSTMLayer.h',['../_c_l_l_s_t_m_layer_8h.xhtml',1,'']]],
+  ['cllstmlayerquantized_2ecpp',['CLLSTMLayerQuantized.cpp',['../_c_l_l_s_t_m_layer_quantized_8cpp.xhtml',1,'']]],
+  ['cllstmlayerquantized_2eh',['CLLSTMLayerQuantized.h',['../_c_l_l_s_t_m_layer_quantized_8h.xhtml',1,'']]],
   ['cllut_2ecpp',['CLLut.cpp',['../_c_l_lut_8cpp.xhtml',1,'']]],
   ['cllut_2eh',['CLLut.h',['../_c_l_lut_8h.xhtml',1,'']]],
   ['cllutaccessor_2eh',['CLLutAccessor.h',['../_c_l_lut_accessor_8h.xhtml',1,'']]],
@@ -379,6 +387,10 @@
   ['clmeanstddev_2eh',['CLMeanStdDev.h',['../_c_l_mean_std_dev_8h.xhtml',1,'']]],
   ['clmeanstddevkernel_2ecpp',['CLMeanStdDevKernel.cpp',['../_c_l_mean_std_dev_kernel_8cpp.xhtml',1,'']]],
   ['clmeanstddevkernel_2eh',['CLMeanStdDevKernel.h',['../_c_l_mean_std_dev_kernel_8h.xhtml',1,'']]],
+  ['clmeanstddevnormalizationkernel_2ecpp',['CLMeanStdDevNormalizationKernel.cpp',['../_c_l_mean_std_dev_normalization_kernel_8cpp.xhtml',1,'']]],
+  ['clmeanstddevnormalizationkernel_2eh',['CLMeanStdDevNormalizationKernel.h',['../_c_l_mean_std_dev_normalization_kernel_8h.xhtml',1,'']]],
+  ['clmeanstddevnormalizationlayer_2ecpp',['CLMeanStdDevNormalizationLayer.cpp',['../_c_l_mean_std_dev_normalization_layer_8cpp.xhtml',1,'']]],
+  ['clmeanstddevnormalizationlayer_2eh',['CLMeanStdDevNormalizationLayer.h',['../_c_l_mean_std_dev_normalization_layer_8h.xhtml',1,'']]],
   ['clmedian3x3_2ecpp',['CLMedian3x3.cpp',['../_c_l_median3x3_8cpp.xhtml',1,'']]],
   ['clmedian3x3_2eh',['CLMedian3x3.h',['../_c_l_median3x3_8h.xhtml',1,'']]],
   ['clmedian3x3kernel_2ecpp',['CLMedian3x3Kernel.cpp',['../_c_l_median3x3_kernel_8cpp.xhtml',1,'']]],
@@ -436,6 +448,8 @@
   ['clpoolinglayer_2eh',['CLPoolingLayer.h',['../_c_l_pooling_layer_8h.xhtml',1,'']]],
   ['clpoolinglayerkernel_2ecpp',['CLPoolingLayerKernel.cpp',['../_c_l_pooling_layer_kernel_8cpp.xhtml',1,'']]],
   ['clpoolinglayerkernel_2eh',['CLPoolingLayerKernel.h',['../_c_l_pooling_layer_kernel_8h.xhtml',1,'']]],
+  ['clprelulayer_2ecpp',['CLPReluLayer.cpp',['../_c_l_p_relu_layer_8cpp.xhtml',1,'']]],
+  ['clprelulayer_2eh',['CLPReluLayer.h',['../_c_l_p_relu_layer_8h.xhtml',1,'']]],
   ['clpriorboxlayer_2ecpp',['CLPriorBoxLayer.cpp',['../_c_l_prior_box_layer_8cpp.xhtml',1,'']]],
   ['clpriorboxlayer_2eh',['CLPriorBoxLayer.h',['../_c_l_prior_box_layer_8h.xhtml',1,'']]],
   ['clpriorboxlayerkernel_2ecpp',['CLPriorBoxLayerKernel.cpp',['../_c_l_prior_box_layer_kernel_8cpp.xhtml',1,'']]],
@@ -518,6 +532,10 @@
   ['clspacetobatchlayer_2eh',['CLSpaceToBatchLayer.h',['../_c_l_space_to_batch_layer_8h.xhtml',1,'']]],
   ['clspacetobatchlayerkernel_2ecpp',['CLSpaceToBatchLayerKernel.cpp',['../_c_l_space_to_batch_layer_kernel_8cpp.xhtml',1,'']]],
   ['clspacetobatchlayerkernel_2eh',['CLSpaceToBatchLayerKernel.h',['../_c_l_space_to_batch_layer_kernel_8h.xhtml',1,'']]],
+  ['clspacetodepthlayer_2ecpp',['CLSpaceToDepthLayer.cpp',['../_c_l_space_to_depth_layer_8cpp.xhtml',1,'']]],
+  ['clspacetodepthlayer_2eh',['CLSpaceToDepthLayer.h',['../_c_l_space_to_depth_layer_8h.xhtml',1,'']]],
+  ['clspacetodepthlayerkernel_2ecpp',['CLSpaceToDepthLayerKernel.cpp',['../_c_l_space_to_depth_layer_kernel_8cpp.xhtml',1,'']]],
+  ['clspacetodepthlayerkernel_2eh',['CLSpaceToDepthLayerKernel.h',['../_c_l_space_to_depth_layer_kernel_8h.xhtml',1,'']]],
   ['clsplit_2ecpp',['CLSplit.cpp',['../_c_l_split_8cpp.xhtml',1,'']]],
   ['clsplit_2eh',['CLSplit.h',['../_c_l_split_8h.xhtml',1,'']]],
   ['clstacklayer_2ecpp',['CLStackLayer.cpp',['../_c_l_stack_layer_8cpp.xhtml',1,'']]],
@@ -580,8 +598,6 @@
   ['clwidthconcatenate2tensorskernel_2eh',['CLWidthConcatenate2TensorsKernel.h',['../_c_l_width_concatenate2_tensors_kernel_8h.xhtml',1,'']]],
   ['clwidthconcatenate4tensorskernel_2ecpp',['CLWidthConcatenate4TensorsKernel.cpp',['../_c_l_width_concatenate4_tensors_kernel_8cpp.xhtml',1,'']]],
   ['clwidthconcatenate4tensorskernel_2eh',['CLWidthConcatenate4TensorsKernel.h',['../_c_l_width_concatenate4_tensors_kernel_8h.xhtml',1,'']]],
-  ['clwidthconcatenatelayer_2ecpp',['CLWidthConcatenateLayer.cpp',['../_c_l_width_concatenate_layer_8cpp.xhtml',1,'']]],
-  ['clwidthconcatenatelayer_2eh',['CLWidthConcatenateLayer.h',['../_c_l_width_concatenate_layer_8h.xhtml',1,'']]],
   ['clwidthconcatenatelayerkernel_2ecpp',['CLWidthConcatenateLayerKernel.cpp',['../_c_l_width_concatenate_layer_kernel_8cpp.xhtml',1,'']]],
   ['clwidthconcatenatelayerkernel_2eh',['CLWidthConcatenateLayerKernel.h',['../_c_l_width_concatenate_layer_kernel_8h.xhtml',1,'']]],
   ['clwinogradconvolutionlayer_2ecpp',['CLWinogradConvolutionLayer.cpp',['../_c_l_winograd_convolution_layer_8cpp.xhtml',1,'']]],
@@ -653,12 +669,18 @@
   ['cppcornercandidateskernel_2eh',['CPPCornerCandidatesKernel.h',['../_c_p_p_corner_candidates_kernel_8h.xhtml',1,'']]],
   ['cppdetectionoutputlayer_2ecpp',['CPPDetectionOutputLayer.cpp',['../_c_p_p_detection_output_layer_8cpp.xhtml',1,'']]],
   ['cppdetectionoutputlayer_2eh',['CPPDetectionOutputLayer.h',['../_c_p_p_detection_output_layer_8h.xhtml',1,'']]],
+  ['cppdetectionpostprocesslayer_2ecpp',['CPPDetectionPostProcessLayer.cpp',['../_c_p_p_detection_post_process_layer_8cpp.xhtml',1,'']]],
+  ['cppdetectionpostprocesslayer_2eh',['CPPDetectionPostProcessLayer.h',['../_c_p_p_detection_post_process_layer_8h.xhtml',1,'']]],
   ['cppdetectionwindownonmaximasuppressionkernel_2ecpp',['CPPDetectionWindowNonMaximaSuppressionKernel.cpp',['../_c_p_p_detection_window_non_maxima_suppression_kernel_8cpp.xhtml',1,'']]],
   ['cppdetectionwindownonmaximasuppressionkernel_2eh',['CPPDetectionWindowNonMaximaSuppressionKernel.h',['../_c_p_p_detection_window_non_maxima_suppression_kernel_8h.xhtml',1,'']]],
   ['cppflipweightskernel_2ecpp',['CPPFlipWeightsKernel.cpp',['../_c_p_p_flip_weights_kernel_8cpp.xhtml',1,'']]],
   ['cppflipweightskernel_2eh',['CPPFlipWeightsKernel.h',['../_c_p_p_flip_weights_kernel_8h.xhtml',1,'']]],
   ['cppfunctions_2eh',['CPPFunctions.h',['../_c_p_p_functions_8h.xhtml',1,'']]],
   ['cppkernels_2eh',['CPPKernels.h',['../_c_p_p_kernels_8h.xhtml',1,'']]],
+  ['cppnonmaximumsuppression_2ecpp',['CPPNonMaximumSuppression.cpp',['../_c_p_p_non_maximum_suppression_8cpp.xhtml',1,'']]],
+  ['cppnonmaximumsuppression_2eh',['CPPNonMaximumSuppression.h',['../_c_p_p_non_maximum_suppression_8h.xhtml',1,'']]],
+  ['cppnonmaximumsuppressionkernel_2ecpp',['CPPNonMaximumSuppressionKernel.cpp',['../_c_p_p_non_maximum_suppression_kernel_8cpp.xhtml',1,'']]],
+  ['cppnonmaximumsuppressionkernel_2eh',['CPPNonMaximumSuppressionKernel.h',['../_c_p_p_non_maximum_suppression_kernel_8h.xhtml',1,'']]],
   ['cpppermute_2ecpp',['CPPPermute.cpp',['../_c_p_p_permute_8cpp.xhtml',1,'']]],
   ['cpppermute_2eh',['CPPPermute.h',['../_c_p_p_permute_8h.xhtml',1,'']]],
   ['cpppermutekernel_2ecpp',['CPPPermuteKernel.cpp',['../_c_p_p_permute_kernel_8cpp.xhtml',1,'']]],

documentation/search/files_4.js

diff --git a/documentation/search/files_4.js b/documentation/search/files_4.js
index 7bd726c..e9885ec 100644
--- a/documentation/search/files_4.js
+++ b/documentation/search/files_4.js
@@ -10,18 +10,22 @@
   ['deconvolutionlayernode_2ecpp',['DeconvolutionLayerNode.cpp',['../_deconvolution_layer_node_8cpp.xhtml',1,'']]],
   ['deconvolutionlayernode_2eh',['DeconvolutionLayerNode.h',['../_deconvolution_layer_node_8h.xhtml',1,'']]],
   ['depth_5fconvert_2ecl',['depth_convert.cl',['../depth__convert_8cl.xhtml',1,'']]],
+  ['depth_5fto_5fspace_2ecl',['depth_to_space.cl',['../depth__to__space_8cl.xhtml',1,'']]],
   ['depthconcatenatelayer_2ecpp',['DepthConcatenateLayer.cpp',['../benchmark_2_c_l_2_depth_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_depth_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_depth_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_depth_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_depth_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_depth_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['depthconcatenatelayer_2eh',['DepthConcatenateLayer.h',['../_depth_concatenate_layer_8h.xhtml',1,'']]],
   ['depthconcatsubtensormutator_2ecpp',['DepthConcatSubTensorMutator.cpp',['../_depth_concat_sub_tensor_mutator_8cpp.xhtml',1,'']]],
   ['depthconcatsubtensormutator_2eh',['DepthConcatSubTensorMutator.h',['../_depth_concat_sub_tensor_mutator_8h.xhtml',1,'']]],
   ['depthconvertlayer_2ecpp',['DepthConvertLayer.cpp',['../_c_l_2_depth_convert_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_depth_convert_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_depth_convert_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['depthconvertlayer_2eh',['DepthConvertLayer.h',['../_depth_convert_layer_8h.xhtml',1,'']]],
+  ['depthtospacelayer_2ecpp',['DepthToSpaceLayer.cpp',['../_c_l_2_depth_to_space_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_depth_to_space_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_depth_to_space_layer_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['depthtospacelayer_2eh',['DepthToSpaceLayer.h',['../_depth_to_space_layer_8h.xhtml',1,'']]],
   ['depthwise_5fconvolution_2ecl',['depthwise_convolution.cl',['../depthwise__convolution_8cl.xhtml',1,'']]],
   ['depthwise_5fconvolution_5fquantized_2ecl',['depthwise_convolution_quantized.cl',['../depthwise__convolution__quantized_8cl.xhtml',1,'']]],
   ['depthwiseconvolutionlayer_2ecpp',['DepthwiseConvolutionLayer.cpp',['../benchmark_2_c_l_2_depthwise_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_depthwise_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_depthwise_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_depthwise_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_depthwise_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_depthwise_convolution_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['depthwiseconvolutionlayer_2eh',['DepthwiseConvolutionLayer.h',['../_depthwise_convolution_layer_8h.xhtml',1,'']]],
   ['depthwiseconvolutionlayernode_2ecpp',['DepthwiseConvolutionLayerNode.cpp',['../_depthwise_convolution_layer_node_8cpp.xhtml',1,'']]],
   ['depthwiseconvolutionlayernode_2eh',['DepthwiseConvolutionLayerNode.h',['../_depthwise_convolution_layer_node_8h.xhtml',1,'']]],
+  ['depthwiseconvolutionnativelayer_2ecpp',['DepthwiseConvolutionNativeLayer.cpp',['../_depthwise_convolution_native_layer_8cpp.xhtml',1,'']]],
   ['depthwiseseparableconvolutionlayer_2ecpp',['DepthwiseSeparableConvolutionLayer.cpp',['../benchmark_2_c_l_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['depthwiseseparableconvolutionlayer_2eh',['DepthwiseSeparableConvolutionLayer.h',['../_depthwise_separable_convolution_layer_8h.xhtml',1,'']]],
   ['dequantization_5flayer_2ecl',['dequantization_layer.cl',['../dequantization__layer_8cl.xhtml',1,'']]],
@@ -32,6 +36,9 @@
   ['derivative_2eh',['Derivative.h',['../_derivative_8h.xhtml',1,'']]],
   ['detectionoutputlayernode_2ecpp',['DetectionOutputLayerNode.cpp',['../_detection_output_layer_node_8cpp.xhtml',1,'']]],
   ['detectionoutputlayernode_2eh',['DetectionOutputLayerNode.h',['../_detection_output_layer_node_8h.xhtml',1,'']]],
+  ['detectionpostprocesslayer_2ecpp',['DetectionPostProcessLayer.cpp',['../_detection_post_process_layer_8cpp.xhtml',1,'']]],
+  ['detectionpostprocesslayernode_2ecpp',['DetectionPostProcessLayerNode.cpp',['../_detection_post_process_layer_node_8cpp.xhtml',1,'']]],
+  ['detectionpostprocesslayernode_2eh',['DetectionPostProcessLayerNode.h',['../_detection_post_process_layer_node_8h.xhtml',1,'']]],
   ['dft_2ecpp',['DFT.cpp',['../_c_p_p_2_d_f_t_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_d_f_t_8cpp.xhtml',1,'(Global Namespace)']]],
   ['dft_2eh',['DFT.h',['../_d_f_t_8h.xhtml',1,'']]],
   ['dilate_2ecl',['dilate.cl',['../dilate_8cl.xhtml',1,'']]],
@@ -42,6 +49,7 @@
   ['direct_5fconvolution1x1_2ecl',['direct_convolution1x1.cl',['../direct__convolution1x1_8cl.xhtml',1,'']]],
   ['direct_5fconvolution3x3_2ecl',['direct_convolution3x3.cl',['../direct__convolution3x3_8cl.xhtml',1,'']]],
   ['direct_5fconvolution5x5_2ecl',['direct_convolution5x5.cl',['../direct__convolution5x5_8cl.xhtml',1,'']]],
+  ['direct_5fconvolution9x9_2ecl',['direct_convolution9x9.cl',['../direct__convolution9x9_8cl.xhtml',1,'']]],
   ['direct_5fconvolution_5f1x1_5f3x3_5f5x5_5fquantized_2ecl',['direct_convolution_1x1_3x3_5x5_quantized.cl',['../direct__convolution__1x1__3x3__5x5__quantized_8cl.xhtml',1,'']]],
   ['directconvolutionlayer_2ecpp',['DirectConvolutionLayer.cpp',['../benchmark_2_c_l_2_direct_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_direct_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_direct_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_direct_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_direct_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_direct_convolution_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['directconvolutionlayertensorshift_2ecpp',['DirectConvolutionLayerTensorShift.cpp',['../_direct_convolution_layer_tensor_shift_8cpp.xhtml',1,'']]],

documentation/search/files_5.js

diff --git a/documentation/search/files_5.js b/documentation/search/files_5.js
index 883c4ed..316e0d6 100644
--- a/documentation/search/files_5.js
+++ b/documentation/search/files_5.js
@@ -4,13 +4,19 @@
   ['elementwise_5foperation_2ecl',['elementwise_operation.cl',['../elementwise__operation_8cl.xhtml',1,'']]],
   ['elementwise_5foperation_5fquantized_2ecl',['elementwise_operation_quantized.cl',['../elementwise__operation__quantized_8cl.xhtml',1,'']]],
   ['elementwise_5funary_2ecl',['elementwise_unary.cl',['../elementwise__unary_8cl.xhtml',1,'']]],
+  ['elementwiseabsolutevalue_2ecpp',['ElementwiseAbsoluteValue.cpp',['../_elementwise_absolute_value_8cpp.xhtml',1,'']]],
   ['elementwisedivision_2ecpp',['ElementwiseDivision.cpp',['../_elementwise_division_8cpp.xhtml',1,'']]],
   ['elementwiseexplayer_2ecpp',['ElementwiseExpLayer.cpp',['../_elementwise_exp_layer_8cpp.xhtml',1,'']]],
+  ['elementwiselog_2ecpp',['ElementwiseLog.cpp',['../_elementwise_log_8cpp.xhtml',1,'']]],
   ['elementwisemax_2ecpp',['ElementwiseMax.cpp',['../_c_l_2_elementwise_max_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_elementwise_max_8cpp.xhtml',1,'(Global Namespace)']]],
   ['elementwisemin_2ecpp',['ElementwiseMin.cpp',['../_c_l_2_elementwise_min_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_elementwise_min_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['elementwisenegation_2ecpp',['ElementwiseNegation.cpp',['../_elementwise_negation_8cpp.xhtml',1,'']]],
   ['elementwiseoperations_2ecpp',['ElementwiseOperations.cpp',['../_elementwise_operations_8cpp.xhtml',1,'']]],
   ['elementwiseoperations_2eh',['ElementwiseOperations.h',['../_elementwise_operations_8h.xhtml',1,'']]],
+  ['elementwisepower_2ecpp',['ElementwisePower.cpp',['../_c_l_2_elementwise_power_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_elementwise_power_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['elementwiseround_2ecpp',['ElementwiseRound.cpp',['../_elementwise_round_8cpp.xhtml',1,'']]],
   ['elementwisersqrtlayer_2ecpp',['ElementwiseRsqrtLayer.cpp',['../_elementwise_rsqrt_layer_8cpp.xhtml',1,'']]],
+  ['elementwisesin_2ecpp',['ElementwiseSin.cpp',['../benchmark_2_n_e_o_n_2_elementwise_sin_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_elementwise_sin_8cpp.xhtml',1,'(Global Namespace)']]],
   ['elementwisesquareddiff_2ecpp',['ElementwiseSquaredDiff.cpp',['../_elementwise_squared_diff_8cpp.xhtml',1,'']]],
   ['elementwisesquarediff_2ecpp',['ElementwiseSquareDiff.cpp',['../_elementwise_square_diff_8cpp.xhtml',1,'']]],
   ['elementwiseunary_2ecpp',['ElementWiseUnary.cpp',['../_element_wise_unary_8cpp.xhtml',1,'']]],

documentation/search/files_6.js

diff --git a/documentation/search/files_6.js b/documentation/search/files_6.js
index fc926c5..f724ac1 100644
--- a/documentation/search/files_6.js
+++ b/documentation/search/files_6.js
@@ -21,6 +21,7 @@
   ['flattenlayer_2eh',['FlattenLayer.h',['../_flatten_layer_8h.xhtml',1,'']]],
   ['flattenlayernode_2ecpp',['FlattenLayerNode.cpp',['../_flatten_layer_node_8cpp.xhtml',1,'']]],
   ['flattenlayernode_2eh',['FlattenLayerNode.h',['../_flatten_layer_node_8h.xhtml',1,'']]],
+  ['float_5fops_2eh',['float_ops.h',['../float__ops_8h.xhtml',1,'']]],
   ['floor_2ecl',['floor.cl',['../floor_8cl.xhtml',1,'']]],
   ['floor_2ecpp',['Floor.cpp',['../benchmark_2_c_l_2_floor_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_floor_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_floor_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_floor_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_floor_8cpp.xhtml',1,'(Global Namespace)']]],
   ['floor_2eh',['Floor.h',['../_floor_8h.xhtml',1,'']]],
@@ -31,7 +32,12 @@
   ['fullyconnectedlayernode_2eh',['FullyConnectedLayerNode.h',['../_fully_connected_layer_node_8h.xhtml',1,'']]],
   ['functiondescriptors_2eh',['FunctionDescriptors.h',['../_function_descriptors_8h.xhtml',1,'']]],
   ['functionhelpers_2eh',['FunctionHelpers.h',['../_function_helpers_8h.xhtml',1,'']]],
+  ['fusebatchnormalization_2ecpp',['FuseBatchNormalization.cpp',['../_c_l_2_fuse_batch_normalization_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_fuse_batch_normalization_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_fuse_batch_normalization_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['fusebatchnormalization_2eh',['FuseBatchNormalization.h',['../_fuse_batch_normalization_8h.xhtml',1,'']]],
   ['fusedconvolutionbatchnormalizationfunction_2eh',['FusedConvolutionBatchNormalizationFunction.h',['../_fused_convolution_batch_normalization_function_8h.xhtml',1,'']]],
   ['fusedconvolutionbatchnormalizationnode_2ecpp',['FusedConvolutionBatchNormalizationNode.cpp',['../_fused_convolution_batch_normalization_node_8cpp.xhtml',1,'']]],
-  ['fusedconvolutionbatchnormalizationnode_2eh',['FusedConvolutionBatchNormalizationNode.h',['../_fused_convolution_batch_normalization_node_8h.xhtml',1,'']]]
+  ['fusedconvolutionbatchnormalizationnode_2eh',['FusedConvolutionBatchNormalizationNode.h',['../_fused_convolution_batch_normalization_node_8h.xhtml',1,'']]],
+  ['fuseddepthwiseconvolutionbatchnormalizationfunction_2eh',['FusedDepthwiseConvolutionBatchNormalizationFunction.h',['../_fused_depthwise_convolution_batch_normalization_function_8h.xhtml',1,'']]],
+  ['fuseddepthwiseconvolutionbatchnormalizationnode_2ecpp',['FusedDepthwiseConvolutionBatchNormalizationNode.cpp',['../_fused_depthwise_convolution_batch_normalization_node_8cpp.xhtml',1,'']]],
+  ['fuseddepthwiseconvolutionbatchnormalizationnode_2eh',['FusedDepthwiseConvolutionBatchNormalizationNode.h',['../_fused_depthwise_convolution_batch_normalization_node_8h.xhtml',1,'']]]
 ];

documentation/search/files_7.js

diff --git a/documentation/search/files_7.js b/documentation/search/files_7.js
index 86d373e..d7ee001 100644
--- a/documentation/search/files_7.js
+++ b/documentation/search/files_7.js
@@ -38,8 +38,6 @@
   ['gcconcatenatelayer_2eh',['GCConcatenateLayer.h',['../_g_c_concatenate_layer_8h.xhtml',1,'']]],
   ['gcconvolutionlayer_2ecpp',['GCConvolutionLayer.cpp',['../_g_c_convolution_layer_8cpp.xhtml',1,'']]],
   ['gcconvolutionlayer_2eh',['GCConvolutionLayer.h',['../_g_c_convolution_layer_8h.xhtml',1,'']]],
-  ['gcdepthconcatenatelayer_2ecpp',['GCDepthConcatenateLayer.cpp',['../_g_c_depth_concatenate_layer_8cpp.xhtml',1,'']]],
-  ['gcdepthconcatenatelayer_2eh',['GCDepthConcatenateLayer.h',['../_g_c_depth_concatenate_layer_8h.xhtml',1,'']]],
   ['gcdepthconcatenatelayerkernel_2ecpp',['GCDepthConcatenateLayerKernel.cpp',['../_g_c_depth_concatenate_layer_kernel_8cpp.xhtml',1,'']]],
   ['gcdepthconcatenatelayerkernel_2eh',['GCDepthConcatenateLayerKernel.h',['../_g_c_depth_concatenate_layer_kernel_8h.xhtml',1,'']]],
   ['gcdepthwiseconvolutionlayer_2ecpp',['GCDepthwiseConvolutionLayer.cpp',['../_g_c_depthwise_convolution_layer_8cpp.xhtml',1,'']]],
@@ -142,12 +140,15 @@
   ['gemm_2eh',['GEMM.h',['../_g_e_m_m_8h.xhtml',1,'']]],
   ['gemm_5ffp16_2ecpp',['gemm_fp16.cpp',['../gemm__fp16_8cpp.xhtml',1,'']]],
   ['gemm_5ffp32_2ecpp',['gemm_fp32.cpp',['../gemm__fp32_8cpp.xhtml',1,'']]],
+  ['gemm_5fhelpers_2eh',['gemm_helpers.h',['../gemm__helpers_8h.xhtml',1,'']]],
   ['gemm_5fhybrid_2ehpp',['gemm_hybrid.hpp',['../gemm__hybrid_8hpp.xhtml',1,'']]],
+  ['gemm_5fhybrid_5fquantized_2ehpp',['gemm_hybrid_quantized.hpp',['../gemm__hybrid__quantized_8hpp.xhtml',1,'']]],
   ['gemm_5fimplementation_2ehpp',['gemm_implementation.hpp',['../gemm__implementation_8hpp.xhtml',1,'']]],
   ['gemm_5fint16_2ecpp',['gemm_int16.cpp',['../gemm__int16_8cpp.xhtml',1,'']]],
   ['gemm_5fint8_2ecpp',['gemm_int8.cpp',['../gemm__int8_8cpp.xhtml',1,'']]],
   ['gemm_5finterleaved_2ehpp',['gemm_interleaved.hpp',['../gemm__interleaved_8hpp.xhtml',1,'']]],
   ['gemm_5fnative_2ehpp',['gemm_native.hpp',['../gemm__native_8hpp.xhtml',1,'']]],
+  ['gemm_5fquint8_2ecpp',['gemm_quint8.cpp',['../gemm__quint8_8cpp.xhtml',1,'']]],
   ['gemm_5fuint16_2ecpp',['gemm_uint16.cpp',['../gemm__uint16_8cpp.xhtml',1,'']]],
   ['gemm_5fuint8_2ecpp',['gemm_uint8.cpp',['../gemm__uint8_8cpp.xhtml',1,'']]],
   ['gemminterleave4x4_2eh',['GEMMInterleave4x4.h',['../_g_e_m_m_interleave4x4_8h.xhtml',1,'']]],
@@ -155,8 +156,12 @@
   ['gemmlowp_2ecl',['gemmlowp.cl',['../gemmlowp_8cl.xhtml',1,'']]],
   ['gemmlowp_2ecpp',['GEMMLowp.cpp',['../benchmark_2_c_l_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)']]],
   ['gemmlowp_2eh',['GEMMLowp.h',['../_g_e_m_m_lowp_8h.xhtml',1,'']]],
+  ['gemmlowpmatrixmultiplynative_2ecpp',['GEMMLowpMatrixMultiplyNative.cpp',['../_g_e_m_m_lowp_matrix_multiply_native_8cpp.xhtml',1,'']]],
   ['gemmlowpmatrixmultiplyreshaped_2ecpp',['GEMMLowpMatrixMultiplyReshaped.cpp',['../_g_e_m_m_lowp_matrix_multiply_reshaped_8cpp.xhtml',1,'']]],
   ['gemmlowpmatrixmultiplyreshapedonlyrhs_2ecpp',['GEMMLowpMatrixMultiplyReshapedOnlyRHS.cpp',['../_g_e_m_m_lowp_matrix_multiply_reshaped_only_r_h_s_8cpp.xhtml',1,'']]],
+  ['gemmmatrixmultiply_2ecpp',['GEMMMatrixMultiply.cpp',['../_g_e_m_m_matrix_multiply_8cpp.xhtml',1,'']]],
+  ['gemmmatrixmultiplyinterleavedtransposed_2ecpp',['GEMMMatrixMultiplyInterleavedTransposed.cpp',['../_g_e_m_m_matrix_multiply_interleaved_transposed_8cpp.xhtml',1,'']]],
+  ['gemmmatrixmultiplynative_2ecpp',['GEMMMatrixMultiplyNative.cpp',['../_g_e_m_m_matrix_multiply_native_8cpp.xhtml',1,'']]],
   ['gemmmatrixmultiplyreshaped_2ecpp',['GEMMMatrixMultiplyReshaped.cpp',['../_g_e_m_m_matrix_multiply_reshaped_8cpp.xhtml',1,'']]],
   ['gemmmatrixmultiplyreshapedonlyrhs_2ecpp',['GEMMMatrixMultiplyReshapedOnlyRHS.cpp',['../_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_8cpp.xhtml',1,'']]],
   ['gemmreshapelhsmatrix_2ecpp',['GEMMReshapeLHSMatrix.cpp',['../_c_l_2_g_e_m_m_reshape_l_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_g_e_m_m_reshape_l_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -172,7 +177,7 @@
   ['generateproposalslayer_2ecpp',['GenerateProposalsLayer.cpp',['../_generate_proposals_layer_8cpp.xhtml',1,'']]],
   ['generateproposalslayernode_2ecpp',['GenerateProposalsLayerNode.cpp',['../_generate_proposals_layer_node_8cpp.xhtml',1,'']]],
   ['generateproposalslayernode_2eh',['GenerateProposalsLayerNode.h',['../_generate_proposals_layer_node_8h.xhtml',1,'']]],
-  ['generic_2ecpp',['generic.cpp',['../a32__sgemm__8x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hgemm__24x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__fp32__mla__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__s8s32__dot__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__u8u32__dot__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__native__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__native_a__pretranspose_b__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__pretransposed_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__trans_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__fp16__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__fp32__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__s8s32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__u8u32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp16__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp32__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__s8s32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__u8u32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__fp16__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__fp32__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__s8s32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__u8u32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__fp32__mla__1_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__hybrid__fp32__mla__1_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['generic_2ecpp',['generic.cpp',['../a32__sgemm__8x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hgemm__24x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__fp32__mla__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__s8s32__dot__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__u8u32__dot__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__native__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__native_a__pretranspose_b__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__pretransposed_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__trans_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__s8s32__dot__4x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__s8s32__dot__4x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__u8u32__dot__4x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__u8u32__dot__4x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__fp16__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__fp32__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__s8s32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__u8u32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp16__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp32__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__s8s32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__u8u32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__fp16__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__fp32__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__s8s32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__u8u32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__fp32__mla__1_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__hybrid__fp32__mla__1_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__hybrid__s8s32__dot__1_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__hybrid__u8u32__dot__1_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)']]],
   ['gethigh_2eh',['gethigh.h',['../gethigh_8h.xhtml',1,'']]],
   ['getlane_2eh',['getlane.h',['../getlane_8h.xhtml',1,'']]],
   ['getlow_2eh',['getlow.h',['../getlow_8h.xhtml',1,'']]],

documentation/search/files_c.js

diff --git a/documentation/search/files_c.js b/documentation/search/files_c.js
index 82ce15d..8c0d807 100644
--- a/documentation/search/files_c.js
+++ b/documentation/search/files_c.js
@@ -20,8 +20,10 @@
   ['logger_2eh',['Logger.h',['../core_2utils_2logging_2_logger_8h.xhtml',1,'(Global Namespace)'],['../graph_2_logger_8h.xhtml',1,'(Global Namespace)']]],
   ['loggerregistry_2ecpp',['LoggerRegistry.cpp',['../_logger_registry_8cpp.xhtml',1,'']]],
   ['loggerregistry_2eh',['LoggerRegistry.h',['../_logger_registry_8h.xhtml',1,'']]],
+  ['loglayer_2ecpp',['LogLayer.cpp',['../_log_layer_8cpp.xhtml',1,'']]],
   ['logmsgdecorators_2eh',['LogMsgDecorators.h',['../_log_msg_decorators_8h.xhtml',1,'']]],
   ['lstmlayer_2ecpp',['LSTMLayer.cpp',['../_c_l_2_l_s_t_m_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_l_s_t_m_layer_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['lstmlayerquantized_2ecpp',['LSTMLayerQuantized.cpp',['../_c_l_2_l_s_t_m_layer_quantized_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_l_s_t_m_layer_quantized_8cpp.xhtml',1,'(Global Namespace)']]],
   ['lstmparams_2eh',['LSTMParams.h',['../_l_s_t_m_params_8h.xhtml',1,'']]],
   ['lut_2ecpp',['Lut.cpp',['../_lut_8cpp.xhtml',1,'']]],
   ['lut_2eh',['Lut.h',['../_lut_8h.xhtml',1,'']]],

documentation/search/files_d.js

diff --git a/documentation/search/files_d.js b/documentation/search/files_d.js
index 229c092..b3a2148 100644
--- a/documentation/search/files_d.js
+++ b/documentation/search/files_d.js
@@ -1,6 +1,6 @@
 var searchData=
 [
-  ['macros_2eh',['Macros.h',['../arm__compute_2core_2utils_2logging_2_macros_8h.xhtml',1,'(Global Namespace)'],['../tests_2framework_2_macros_8h.xhtml',1,'(Global Namespace)']]],
+  ['macros_2eh',['Macros.h',['../arm__compute_2core_2utils_2logging_2_macros_8h.xhtml',1,'(Global Namespace)'],['../arm__compute_2core_2utils_2misc_2_macros_8h.xhtml',1,'(Global Namespace)'],['../tests_2framework_2_macros_8h.xhtml',1,'(Global Namespace)']]],
   ['magnitude_2ecpp',['Magnitude.cpp',['../benchmark_2_c_l_2_magnitude_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_magnitude_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_magnitude_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_magnitude_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_magnitude_8cpp.xhtml',1,'(Global Namespace)']]],
   ['magnitude_2eh',['Magnitude.h',['../_magnitude_8h.xhtml',1,'']]],
   ['magnitude_5fphase_2ecl',['magnitude_phase.cl',['../magnitude__phase_8cl.xhtml',1,'']]],
@@ -9,8 +9,11 @@
   ['malicounter_2eh',['MaliCounter.h',['../_mali_counter_8h.xhtml',1,'']]],
   ['max_2eh',['max.h',['../max_8h.xhtml',1,'']]],
   ['mean_5fstddev_2ecl',['mean_stddev.cl',['../mean__stddev_8cl.xhtml',1,'']]],
+  ['mean_5fstddev_5fnormalization_2ecl',['mean_stddev_normalization.cl',['../mean__stddev__normalization_8cl.xhtml',1,'']]],
   ['meanstddev_2ecpp',['MeanStdDev.cpp',['../benchmark_2_c_l_2_mean_std_dev_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_mean_std_dev_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_mean_std_dev_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_mean_std_dev_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_mean_std_dev_8cpp.xhtml',1,'(Global Namespace)']]],
   ['meanstddev_2eh',['MeanStdDev.h',['../_mean_std_dev_8h.xhtml',1,'']]],
+  ['meanstddevnormalizationlayer_2ecpp',['MeanStdDevNormalizationLayer.cpp',['../_c_l_2_mean_std_dev_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_mean_std_dev_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_mean_std_dev_normalization_layer_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['meanstddevnormalizationlayer_2eh',['MeanStdDevNormalizationLayer.h',['../_mean_std_dev_normalization_layer_8h.xhtml',1,'']]],
   ['measurement_2eh',['Measurement.h',['../_measurement_8h.xhtml',1,'']]],
   ['median3x3_2ecpp',['Median3x3.cpp',['../benchmark_2_c_l_2_median3x3_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_median3x3_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_median3x3_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_median3x3_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_median3x3_8cpp.xhtml',1,'(Global Namespace)']]],
   ['median3x3_2eh',['Median3x3.h',['../_median3x3_8h.xhtml',1,'']]],
@@ -32,7 +35,10 @@
   ['minmaxloc_2ecl',['minmaxloc.cl',['../minmaxloc_8cl.xhtml',1,'']]],
   ['minmaxlocation_2ecpp',['MinMaxLocation.cpp',['../benchmark_2_c_l_2_min_max_location_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_min_max_location_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_min_max_location_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_min_max_location_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_min_max_location_8cpp.xhtml',1,'(Global Namespace)']]],
   ['minmaxlocation_2eh',['MinMaxLocation.h',['../_min_max_location_8h.xhtml',1,'']]],
+  ['misc_2ecpp',['misc.cpp',['../misc_8cpp.xhtml',1,'']]],
   ['mla_2eh',['mla.h',['../mla_8h.xhtml',1,'']]],
+  ['mmappedfile_2ecpp',['MMappedFile.cpp',['../_m_mapped_file_8cpp.xhtml',1,'']]],
+  ['mmappedfile_2eh',['MMappedFile.h',['../_m_mapped_file_8h.xhtml',1,'']]],
   ['movl_2eh',['movl.h',['../movl_8h.xhtml',1,'']]],
   ['movn_2eh',['movn.h',['../movn_8h.xhtml',1,'']]],
   ['mul_2eh',['mul.h',['../mul_8h.xhtml',1,'']]],

documentation/search/files_e.js

diff --git a/documentation/search/files_e.js b/documentation/search/files_e.js
index 8054b34..367f8a4 100644
--- a/documentation/search/files_e.js
+++ b/documentation/search/files_e.js
@@ -26,6 +26,8 @@
   ['nearithmeticsubtractionkernel_2eh',['NEArithmeticSubtractionKernel.h',['../_n_e_arithmetic_subtraction_kernel_8h.xhtml',1,'']]],
   ['neasymm_2eh',['NEAsymm.h',['../_n_e_asymm_8h.xhtml',1,'']]],
   ['neasymm_2einl',['NEAsymm.inl',['../_n_e_asymm_8inl.xhtml',1,'']]],
+  ['nebatchconcatenatelayerkernel_2ecpp',['NEBatchConcatenateLayerKernel.cpp',['../_n_e_batch_concatenate_layer_kernel_8cpp.xhtml',1,'']]],
+  ['nebatchconcatenatelayerkernel_2eh',['NEBatchConcatenateLayerKernel.h',['../_n_e_batch_concatenate_layer_kernel_8h.xhtml',1,'']]],
   ['nebatchnormalizationlayer_2ecpp',['NEBatchNormalizationLayer.cpp',['../_n_e_batch_normalization_layer_8cpp.xhtml',1,'']]],
   ['nebatchnormalizationlayer_2eh',['NEBatchNormalizationLayer.h',['../_n_e_batch_normalization_layer_8h.xhtml',1,'']]],
   ['nebatchnormalizationlayerkernel_2ecpp',['NEBatchNormalizationLayerKernel.cpp',['../_n_e_batch_normalization_layer_kernel_8cpp.xhtml',1,'']]],
@@ -58,6 +60,8 @@
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   ['necannyedgekernel_2ecpp',['NECannyEdgeKernel.cpp',['../_n_e_canny_edge_kernel_8cpp.xhtml',1,'']]],
   ['necannyedgekernel_2eh',['NECannyEdgeKernel.h',['../_n_e_canny_edge_kernel_8h.xhtml',1,'']]],
+  ['necast_2ecpp',['NECast.cpp',['../_n_e_cast_8cpp.xhtml',1,'']]],
+  ['necast_2eh',['NECast.h',['../_n_e_cast_8h.xhtml',1,'']]],
   ['nechannelcombine_2ecpp',['NEChannelCombine.cpp',['../_n_e_channel_combine_8cpp.xhtml',1,'']]],
   ['nechannelcombine_2eh',['NEChannelCombine.h',['../_n_e_channel_combine_8h.xhtml',1,'']]],
   ['nechannelcombinekernel_2ecpp',['NEChannelCombineKernel.cpp',['../_n_e_channel_combine_kernel_8cpp.xhtml',1,'']]],
@@ -103,20 +107,24 @@
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   ['nedeconvolutionlayer_2eh',['NEDeconvolutionLayer.h',['../_n_e_deconvolution_layer_8h.xhtml',1,'']]],
-  ['nedepthconcatenatelayer_2ecpp',['NEDepthConcatenateLayer.cpp',['../_n_e_depth_concatenate_layer_8cpp.xhtml',1,'']]],
-  ['nedepthconcatenatelayer_2eh',['NEDepthConcatenateLayer.h',['../_n_e_depth_concatenate_layer_8h.xhtml',1,'']]],
   ['nedepthconcatenatelayerkernel_2ecpp',['NEDepthConcatenateLayerKernel.cpp',['../_n_e_depth_concatenate_layer_kernel_8cpp.xhtml',1,'']]],
   ['nedepthconcatenatelayerkernel_2eh',['NEDepthConcatenateLayerKernel.h',['../_n_e_depth_concatenate_layer_kernel_8h.xhtml',1,'']]],
   ['nedepthconvertlayer_2ecpp',['NEDepthConvertLayer.cpp',['../_n_e_depth_convert_layer_8cpp.xhtml',1,'']]],
   ['nedepthconvertlayer_2eh',['NEDepthConvertLayer.h',['../_n_e_depth_convert_layer_8h.xhtml',1,'']]],
   ['nedepthconvertlayerkernel_2ecpp',['NEDepthConvertLayerKernel.cpp',['../_n_e_depth_convert_layer_kernel_8cpp.xhtml',1,'']]],
   ['nedepthconvertlayerkernel_2eh',['NEDepthConvertLayerKernel.h',['../_n_e_depth_convert_layer_kernel_8h.xhtml',1,'']]],
+  ['nedepthtospacelayer_2ecpp',['NEDepthToSpaceLayer.cpp',['../_n_e_depth_to_space_layer_8cpp.xhtml',1,'']]],
+  ['nedepthtospacelayer_2eh',['NEDepthToSpaceLayer.h',['../_n_e_depth_to_space_layer_8h.xhtml',1,'']]],
+  ['nedepthtospacelayerkernel_2ecpp',['NEDepthToSpaceLayerKernel.cpp',['../_n_e_depth_to_space_layer_kernel_8cpp.xhtml',1,'']]],
+  ['nedepthtospacelayerkernel_2eh',['NEDepthToSpaceLayerKernel.h',['../_n_e_depth_to_space_layer_kernel_8h.xhtml',1,'']]],
   ['nedepthwiseconvolutionassemblydispatch_2ecpp',['NEDepthwiseConvolutionAssemblyDispatch.cpp',['../_n_e_depthwise_convolution_assembly_dispatch_8cpp.xhtml',1,'']]],
   ['nedepthwiseconvolutionassemblydispatch_2eh',['NEDepthwiseConvolutionAssemblyDispatch.h',['../_n_e_depthwise_convolution_assembly_dispatch_8h.xhtml',1,'']]],
   ['nedepthwiseconvolutionlayer_2ecpp',['NEDepthwiseConvolutionLayer.cpp',['../_n_e_depthwise_convolution_layer_8cpp.xhtml',1,'']]],
   ['nedepthwiseconvolutionlayer_2eh',['NEDepthwiseConvolutionLayer.h',['../_n_e_depthwise_convolution_layer_8h.xhtml',1,'']]],
   ['nedepthwiseconvolutionlayer3x3kernel_2ecpp',['NEDepthwiseConvolutionLayer3x3Kernel.cpp',['../_n_e_depthwise_convolution_layer3x3_kernel_8cpp.xhtml',1,'']]],
   ['nedepthwiseconvolutionlayer3x3kernel_2eh',['NEDepthwiseConvolutionLayer3x3Kernel.h',['../_n_e_depthwise_convolution_layer3x3_kernel_8h.xhtml',1,'']]],
+  ['nedepthwiseconvolutionlayernativekernel_2ecpp',['NEDepthwiseConvolutionLayerNativeKernel.cpp',['../_n_e_depthwise_convolution_layer_native_kernel_8cpp.xhtml',1,'']]],
+  ['nedepthwiseconvolutionlayernativekernel_2eh',['NEDepthwiseConvolutionLayerNativeKernel.h',['../_n_e_depthwise_convolution_layer_native_kernel_8h.xhtml',1,'']]],
   ['nedepthwiseim2colkernel_2ecpp',['NEDepthwiseIm2ColKernel.cpp',['../_n_e_depthwise_im2_col_kernel_8cpp.xhtml',1,'']]],
   ['nedepthwiseim2colkernel_2eh',['NEDepthwiseIm2ColKernel.h',['../_n_e_depthwise_im2_col_kernel_8h.xhtml',1,'']]],
   ['nedepthwiseseparableconvolutionlayer_2ecpp',['NEDepthwiseSeparableConvolutionLayer.cpp',['../_n_e_depthwise_separable_convolution_layer_8cpp.xhtml',1,'']]],
@@ -246,6 +254,8 @@
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   ['negemmlowpoutputstage_2ecpp',['NEGEMMLowpOutputStage.cpp',['../_n_e_g_e_m_m_lowp_output_stage_8cpp.xhtml',1,'']]],
   ['negemmlowpoutputstage_2eh',['NEGEMMLowpOutputStage.h',['../_n_e_g_e_m_m_lowp_output_stage_8h.xhtml',1,'']]],
+  ['negemmlowpquantizedownint32toint16scalebyfixedpointkernel_2ecpp',['NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.cpp',['../_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel_8cpp.xhtml',1,'']]],
+  ['negemmlowpquantizedownint32toint16scalebyfixedpointkernel_2eh',['NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h',['../_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel_8h.xhtml',1,'']]],
   ['negemmlowpquantizedownint32touint8scalebyfixedpointkernel_2ecpp',['NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp',['../_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel_8cpp.xhtml',1,'']]],
   ['negemmlowpquantizedownint32touint8scalebyfixedpointkernel_2eh',['NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h',['../_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel_8h.xhtml',1,'']]],
   ['negemmlowpquantizedownint32touint8scalekernel_2ecpp',['NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp',['../_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel_8cpp.xhtml',1,'']]],
@@ -264,6 +274,7 @@
   ['negemmtranspose1xw_2eh',['NEGEMMTranspose1xW.h',['../_n_e_g_e_m_m_transpose1x_w_8h.xhtml',1,'']]],
   ['negemmtranspose1xwkernel_2ecpp',['NEGEMMTranspose1xWKernel.cpp',['../_n_e_g_e_m_m_transpose1x_w_kernel_8cpp.xhtml',1,'']]],
   ['negemmtranspose1xwkernel_2eh',['NEGEMMTranspose1xWKernel.h',['../_n_e_g_e_m_m_transpose1x_w_kernel_8h.xhtml',1,'']]],
+  ['neglayer_2ecpp',['NegLayer.cpp',['../_neg_layer_8cpp.xhtml',1,'']]],
   ['neharriscorners_2ecpp',['NEHarrisCorners.cpp',['../_n_e_harris_corners_8cpp.xhtml',1,'']]],
   ['neharriscorners_2eh',['NEHarrisCorners.h',['../_n_e_harris_corners_8h.xhtml',1,'']]],
   ['neharriscornerskernel_2ecpp',['NEHarrisCornersKernel.cpp',['../_n_e_harris_corners_kernel_8cpp.xhtml',1,'']]],
@@ -309,6 +320,8 @@
   ['nelocallyconnectedmatrixmultiplykernel_2eh',['NELocallyConnectedMatrixMultiplyKernel.h',['../_n_e_locally_connected_matrix_multiply_kernel_8h.xhtml',1,'']]],
   ['nelstmlayer_2ecpp',['NELSTMLayer.cpp',['../_n_e_l_s_t_m_layer_8cpp.xhtml',1,'']]],
   ['nelstmlayer_2eh',['NELSTMLayer.h',['../_n_e_l_s_t_m_layer_8h.xhtml',1,'']]],
+  ['nelstmlayerquantized_2ecpp',['NELSTMLayerQuantized.cpp',['../_n_e_l_s_t_m_layer_quantized_8cpp.xhtml',1,'']]],
+  ['nelstmlayerquantized_2eh',['NELSTMLayerQuantized.h',['../_n_e_l_s_t_m_layer_quantized_8h.xhtml',1,'']]],
   ['nemagnitude_2ecpp',['NEMagnitude.cpp',['../_n_e_magnitude_8cpp.xhtml',1,'']]],
   ['nemagnitude_2eh',['NEMagnitude.h',['../_n_e_magnitude_8h.xhtml',1,'']]],
   ['nemagnitudephasekernel_2ecpp',['NEMagnitudePhaseKernel.cpp',['../_n_e_magnitude_phase_kernel_8cpp.xhtml',1,'']]],
@@ -319,6 +332,10 @@
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   ['nemeanstddevkernel_2ecpp',['NEMeanStdDevKernel.cpp',['../_n_e_mean_std_dev_kernel_8cpp.xhtml',1,'']]],
   ['nemeanstddevkernel_2eh',['NEMeanStdDevKernel.h',['../_n_e_mean_std_dev_kernel_8h.xhtml',1,'']]],
+  ['nemeanstddevnormalizationkernel_2ecpp',['NEMeanStdDevNormalizationKernel.cpp',['../_n_e_mean_std_dev_normalization_kernel_8cpp.xhtml',1,'']]],
+  ['nemeanstddevnormalizationkernel_2eh',['NEMeanStdDevNormalizationKernel.h',['../_n_e_mean_std_dev_normalization_kernel_8h.xhtml',1,'']]],
+  ['nemeanstddevnormalizationlayer_2ecpp',['NEMeanStdDevNormalizationLayer.cpp',['../_n_e_mean_std_dev_normalization_layer_8cpp.xhtml',1,'']]],
+  ['nemeanstddevnormalizationlayer_2eh',['NEMeanStdDevNormalizationLayer.h',['../_n_e_mean_std_dev_normalization_layer_8h.xhtml',1,'']]],
   ['nemedian3x3_2ecpp',['NEMedian3x3.cpp',['../_n_e_median3x3_8cpp.xhtml',1,'']]],
   ['nemedian3x3_2eh',['NEMedian3x3.h',['../_n_e_median3x3_8h.xhtml',1,'']]],
   ['nemedian3x3kernel_2ecpp',['NEMedian3x3Kernel.cpp',['../_n_e_median3x3_kernel_8cpp.xhtml',1,'']]],
@@ -349,6 +366,8 @@
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   ['neon_5fcopy_5fobjects_2ecpp',['neon_copy_objects.cpp',['../neon__copy__objects_8cpp.xhtml',1,'']]],
+  ['neon_5fopticalflow_2ecpp',['neon_opticalflow.cpp',['../neon__opticalflow_8cpp.xhtml',1,'']]],
+  ['neon_5fpermute_2ecpp',['neon_permute.cpp',['../neon__permute_8cpp.xhtml',1,'']]],
   ['neon_5fscale_2ecpp',['neon_scale.cpp',['../neon__scale_8cpp.xhtml',1,'']]],
   ['neon_5fsgemm_2ecpp',['neon_sgemm.cpp',['../neon__sgemm_8cpp.xhtml',1,'']]],
   ['neoncl_5fscale_5fmedian_5fgaussian_2ecpp',['neoncl_scale_median_gaussian.cpp',['../neoncl__scale__median__gaussian_8cpp.xhtml',1,'']]],
@@ -370,6 +389,8 @@
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   ['nepoolinglayerkernel_2ecpp',['NEPoolingLayerKernel.cpp',['../_n_e_pooling_layer_kernel_8cpp.xhtml',1,'']]],
   ['nepoolinglayerkernel_2eh',['NEPoolingLayerKernel.h',['../_n_e_pooling_layer_kernel_8h.xhtml',1,'']]],
+  ['neprelulayer_2ecpp',['NEPReluLayer.cpp',['../_n_e_p_relu_layer_8cpp.xhtml',1,'']]],
+  ['neprelulayer_2eh',['NEPReluLayer.h',['../_n_e_p_relu_layer_8h.xhtml',1,'']]],
   ['nepriorboxlayer_2ecpp',['NEPriorBoxLayer.cpp',['../_n_e_prior_box_layer_8cpp.xhtml',1,'']]],
   ['nepriorboxlayer_2eh',['NEPriorBoxLayer.h',['../_n_e_prior_box_layer_8h.xhtml',1,'']]],
   ['nepriorboxlayerkernel_2ecpp',['NEPriorBoxLayerKernel.cpp',['../_n_e_prior_box_layer_kernel_8cpp.xhtml',1,'']]],
@@ -447,6 +468,10 @@
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   ['nespacetobatchlayerkernel_2ecpp',['NESpaceToBatchLayerKernel.cpp',['../_n_e_space_to_batch_layer_kernel_8cpp.xhtml',1,'']]],
   ['nespacetobatchlayerkernel_2eh',['NESpaceToBatchLayerKernel.h',['../_n_e_space_to_batch_layer_kernel_8h.xhtml',1,'']]],
+  ['nespacetodepthlayer_2ecpp',['NESpaceToDepthLayer.cpp',['../_n_e_space_to_depth_layer_8cpp.xhtml',1,'']]],
+  ['nespacetodepthlayer_2eh',['NESpaceToDepthLayer.h',['../_n_e_space_to_depth_layer_8h.xhtml',1,'']]],
+  ['nespacetodepthlayerkernel_2ecpp',['NESpaceToDepthLayerKernel.cpp',['../_n_e_space_to_depth_layer_kernel_8cpp.xhtml',1,'']]],
+  ['nespacetodepthlayerkernel_2eh',['NESpaceToDepthLayerKernel.h',['../_n_e_space_to_depth_layer_kernel_8h.xhtml',1,'']]],
   ['nesplit_2ecpp',['NESplit.cpp',['../_n_e_split_8cpp.xhtml',1,'']]],
   ['nesplit_2eh',['NESplit.h',['../_n_e_split_8h.xhtml',1,'']]],
   ['nestacklayer_2ecpp',['NEStackLayer.cpp',['../_n_e_stack_layer_8cpp.xhtml',1,'']]],
@@ -459,6 +484,7 @@
   ['nestridedslicekernel_2eh',['NEStridedSliceKernel.h',['../_n_e_strided_slice_kernel_8h.xhtml',1,'']]],
   ['nesubtensorhandle_2ecpp',['NESubTensorHandle.cpp',['../_n_e_sub_tensor_handle_8cpp.xhtml',1,'']]],
   ['nesubtensorhandle_2eh',['NESubTensorHandle.h',['../_n_e_sub_tensor_handle_8h.xhtml',1,'']]],
+  ['nesymm_2eh',['NESymm.h',['../_n_e_symm_8h.xhtml',1,'']]],
   ['netablelookup_2ecpp',['NETableLookup.cpp',['../_n_e_table_lookup_8cpp.xhtml',1,'']]],
   ['netablelookup_2eh',['NETableLookup.h',['../_n_e_table_lookup_8h.xhtml',1,'']]],
   ['netablelookupkernel_2ecpp',['NETableLookupKernel.cpp',['../_n_e_table_lookup_kernel_8cpp.xhtml',1,'']]],
@@ -491,8 +517,6 @@
   ['newarpperspective_2eh',['NEWarpPerspective.h',['../_n_e_warp_perspective_8h.xhtml',1,'']]],
   ['neweightsreshapekernel_2ecpp',['NEWeightsReshapeKernel.cpp',['../_n_e_weights_reshape_kernel_8cpp.xhtml',1,'']]],
   ['neweightsreshapekernel_2eh',['NEWeightsReshapeKernel.h',['../_n_e_weights_reshape_kernel_8h.xhtml',1,'']]],
-  ['newidthconcatenatelayer_2ecpp',['NEWidthConcatenateLayer.cpp',['../_n_e_width_concatenate_layer_8cpp.xhtml',1,'']]],
-  ['newidthconcatenatelayer_2eh',['NEWidthConcatenateLayer.h',['../_n_e_width_concatenate_layer_8h.xhtml',1,'']]],
   ['newidthconcatenatelayerkernel_2ecpp',['NEWidthConcatenateLayerKernel.cpp',['../_n_e_width_concatenate_layer_kernel_8cpp.xhtml',1,'']]],
   ['newidthconcatenatelayerkernel_2eh',['NEWidthConcatenateLayerKernel.h',['../_n_e_width_concatenate_layer_kernel_8h.xhtml',1,'']]],
   ['newinogradconvolutionlayer_2ecpp',['NEWinogradConvolutionLayer.cpp',['../_n_e_winograd_convolution_layer_8cpp.xhtml',1,'']]],
@@ -515,9 +539,9 @@
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   ['nonlinearfilter_2eh',['NonLinearFilter.h',['../_non_linear_filter_8h.xhtml',1,'']]],
   ['nonmax_2ecl',['nonmax.cl',['../nonmax_8cl.xhtml',1,'']]],
-  ['nonmaximalsuppression_2ecpp',['NonMaximalSuppression.cpp',['../_non_maximal_suppression_8cpp.xhtml',1,'']]],
   ['nonmaximasuppression_2ecpp',['NonMaximaSuppression.cpp',['../_non_maxima_suppression_8cpp.xhtml',1,'']]],
   ['nonmaximasuppression_2eh',['NonMaximaSuppression.h',['../_non_maxima_suppression_8h.xhtml',1,'']]],
+  ['nonmaximumsuppression_2ecpp',['NonMaximumSuppression.cpp',['../_non_maximum_suppression_8cpp.xhtml',1,'']]],
   ['nonmaxsuppression_2ecpp',['NonMaxSuppression.cpp',['../_non_max_suppression_8cpp.xhtml',1,'']]],
   ['nonmaxsuppression_2eh',['NonMaxSuppression.h',['../_non_max_suppression_8h.xhtml',1,'']]],
   ['normalization_5flayer_2ecl',['normalization_layer.cl',['../normalization__layer_8cl.xhtml',1,'']]],

documentation/search/functions_0.js

diff --git a/documentation/search/functions_0.js b/documentation/search/functions_0.js
index 7b374b8..aec3c56 100644
--- a/documentation/search/functions_0.js
+++ b/documentation/search/functions_0.js
@@ -4,8 +4,8 @@
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documentation/search/functions_16.js

diff --git a/documentation/search/functions_16.js b/documentation/search/functions_16.js
index 88af2e9..f5f23d0 100644
--- a/documentation/search/functions_16.js
+++ b/documentation/search/functions_16.js
@@ -14,7 +14,7 @@
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-  ['window',['Window',['../classarm__compute_1_1_window.xhtml#ab242a9d3683ac8f480f7944ff6f40534',1,'arm_compute::Window::Window()'],['../classarm__compute_1_1_window.xhtml#ae65e2546322a23806510364033bc8fcd',1,'arm_compute::Window::Window(const Window &src)'],['../classarm__compute_1_1_i_distribution1_d.xhtml#a37a51d76966b92a45375e074e0ea0204',1,'arm_compute::IDistribution1D::window()'],['../classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6',1,'arm_compute::IKernel::window()']]],
+  ['window',['window',['../classarm__compute_1_1_i_distribution1_d.xhtml#a37a51d76966b92a45375e074e0ea0204',1,'arm_compute::IDistribution1D::window()'],['../classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6',1,'arm_compute::IKernel::window()'],['../classarm__compute_1_1_window.xhtml#ab242a9d3683ac8f480f7944ff6f40534',1,'arm_compute::Window::Window()'],['../classarm__compute_1_1_window.xhtml#ae65e2546322a23806510364033bc8fcd',1,'arm_compute::Window::Window(const Window &src)']]],
   ['windowiterator',['WindowIterator',['../classarm__compute_1_1_window_iterator.xhtml#aa1abaf6e2f4e4b1c0f002216dc1ce54b',1,'arm_compute::WindowIterator']]],
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   ['winograd_5finput_5ftransform',['winograd_input_transform',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a09a73d5705389176ff8b7f95946dbc2d',1,'arm_compute::test::validation::reference::winograd_input_transform(const SimpleTensor< T > &in, const TensorShape &output_shape, const WinogradInfo &winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aabf9a06c73c2e343234654ad65487cf8',1,'arm_compute::test::validation::reference::winograd_input_transform(const SimpleTensor< float > &in, const TensorShape &output_shape, const WinogradInfo &winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad4f10ed9128a31cdf47c9f81453c4d51',1,'arm_compute::test::validation::reference::winograd_input_transform(const SimpleTensor< half > &in, const TensorShape &output_shape, const WinogradInfo &winograd_info)']]],

documentation/search/functions_1a.js

diff --git a/documentation/search/functions_1a.js b/documentation/search/functions_1a.js
index ebc35d9..b07f20b 100644
--- a/documentation/search/functions_1a.js
+++ b/documentation/search/functions_1a.js
@@ -9,6 +9,7 @@
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   ['_7eclactivationlayerkernel',['~CLActivationLayerKernel',['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a181f365021a9a09d59233ba388d34e04',1,'arm_compute::CLActivationLayerKernel']]],
   ['_7eclarrayaccessor',['~CLArrayAccessor',['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a2a37710fa81773bdbf719162c10f2309',1,'arm_compute::test::CLArrayAccessor']]],
+  ['_7eclbatchconcatenatelayerkernel',['~CLBatchConcatenateLayerKernel',['../classarm__compute_1_1_c_l_batch_concatenate_layer_kernel.xhtml#a6ebc652f50352f8c80663ea7e107d1ec',1,'arm_compute::CLBatchConcatenateLayerKernel']]],
   ['_7eclbatchnormalizationlayerkernel',['~CLBatchNormalizationLayerKernel',['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#aafb7a9f7e113cbb1f93dd030a4994b4a',1,'arm_compute::CLBatchNormalizationLayerKernel']]],
   ['_7eclbatchtospacelayerkernel',['~CLBatchToSpaceLayerKernel',['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a7d732f47b911ef028720ac10eaf8d401',1,'arm_compute::CLBatchToSpaceLayerKernel']]],
   ['_7eclboundingboxtransformkernel',['~CLBoundingBoxTransformKernel',['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a0b9f2125ad5283c09f6ec63910aa7121',1,'arm_compute::CLBoundingBoxTransformKernel']]],
@@ -26,6 +27,7 @@
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   ['_7ecldeconvolutionreshapeoutputkernel',['~CLDeconvolutionReshapeOutputKernel',['../classarm__compute_1_1_c_l_deconvolution_reshape_output_kernel.xhtml#af9f2e0af65dd5410eeed5f11e99a99f0',1,'arm_compute::CLDeconvolutionReshapeOutputKernel']]],
   ['_7ecldepthconcatenatelayerkernel',['~CLDepthConcatenateLayerKernel',['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#ac0005a72b0a709d73612b1f7b8118d3e',1,'arm_compute::CLDepthConcatenateLayerKernel']]],
+  ['_7ecldepthtospacelayerkernel',['~CLDepthToSpaceLayerKernel',['../classarm__compute_1_1_c_l_depth_to_space_layer_kernel.xhtml#a5923b3d5237d3a4473b449a59fdb1086',1,'arm_compute::CLDepthToSpaceLayerKernel']]],
   ['_7ecldequantizationlayerkernel',['~CLDequantizationLayerKernel',['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#ad739052d31399013f0cf01b376c442cc',1,'arm_compute::CLDequantizationLayerKernel']]],
   ['_7eclderivativekernel',['~CLDerivativeKernel',['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a83d38310c15f7b92264b5403ddd0bbda',1,'arm_compute::CLDerivativeKernel']]],
   ['_7ecldevicebackend',['~CLDeviceBackend',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#a27f45725c45a61e5a1f4650bd23e25c4',1,'arm_compute::graph::backends::CLDeviceBackend']]],
@@ -58,6 +60,7 @@
   ['_7ecllwslistnormal',['~CLLWSListNormal',['../classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list_normal.xhtml#acee58afe747654ea797bcca9e1ced497',1,'arm_compute::cl_tuner::CLLWSListNormal']]],
   ['_7ecllwslistrapid',['~CLLWSListRapid',['../classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list_rapid.xhtml#a0d7e307cb433ecbb640212ef90a50489',1,'arm_compute::cl_tuner::CLLWSListRapid']]],
   ['_7eclmeanstddev',['~CLMeanStdDev',['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#af47c26d33b75335dd72b535607514a45',1,'arm_compute::CLMeanStdDev']]],
+  ['_7eclmeanstddevnormalizationkernel',['~CLMeanStdDevNormalizationKernel',['../classarm__compute_1_1_c_l_mean_std_dev_normalization_kernel.xhtml#a026e5d502911b3914170e38f690df216',1,'arm_compute::CLMeanStdDevNormalizationKernel']]],
   ['_7eclmemsetkernel',['~CLMemsetKernel',['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a0ccf00f98e1d0cfb77952eb982830e87',1,'arm_compute::CLMemsetKernel']]],
   ['_7eclnormalizeplanaryuvlayerkernel',['~CLNormalizePlanarYUVLayerKernel',['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#a460e3d967d53af0f3867463a182f4c3c',1,'arm_compute::CLNormalizePlanarYUVLayerKernel']]],
   ['_7eclpoolinglayerkernel',['~CLPoolingLayerKernel',['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#afcd410341247696c0569a1499407c39b',1,'arm_compute::CLPoolingLayerKernel']]],
@@ -77,6 +80,7 @@
   ['_7eclsobel7x7vertkernel',['~CLSobel7x7VertKernel',['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#ad22bc492781a9536130d81344e26b1b7',1,'arm_compute::CLSobel7x7VertKernel']]],
   ['_7eclspacetobatchlayer',['~CLSpaceToBatchLayer',['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#aca2631498d8a5041bc794e4d6a78f890',1,'arm_compute::CLSpaceToBatchLayer']]],
   ['_7eclspacetobatchlayerkernel',['~CLSpaceToBatchLayerKernel',['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#aec90e410affbc5f218f87fd6ca0b869a',1,'arm_compute::CLSpaceToBatchLayerKernel']]],
+  ['_7eclspacetodepthlayerkernel',['~CLSpaceToDepthLayerKernel',['../classarm__compute_1_1_c_l_space_to_depth_layer_kernel.xhtml#ae87c602c401d2b0e2c88a38e0d6d73a1',1,'arm_compute::CLSpaceToDepthLayerKernel']]],
   ['_7eclstacklayerkernel',['~CLStackLayerKernel',['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a4c84a3e30d19dbd4acf498cc5200f6fd',1,'arm_compute::CLStackLayerKernel']]],
   ['_7eclstridedslicekernel',['~CLStridedSliceKernel',['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a8e445e751c661bfd0fa9c44db41c1e7e',1,'arm_compute::CLStridedSliceKernel']]],
   ['_7eclsubtensor',['~CLSubTensor',['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a3f3d38e602db0a6af8ac5e932d798617',1,'arm_compute::CLSubTensor']]],
@@ -97,6 +101,7 @@
   ['_7ecoordinates',['~Coordinates',['../classarm__compute_1_1_coordinates.xhtml#a71e1d115c447afe4c2ee05f3541be118',1,'arm_compute::Coordinates']]],
   ['_7ecppcornercandidateskernel',['~CPPCornerCandidatesKernel',['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a208c06a1b38f317679a9d5658020d907',1,'arm_compute::CPPCornerCandidatesKernel']]],
   ['_7ecppflipweightskernel',['~CPPFlipWeightsKernel',['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a386f532b4098af731e2d4cc21c953540',1,'arm_compute::CPPFlipWeightsKernel']]],
+  ['_7ecppnonmaximumsuppressionkernel',['~CPPNonMaximumSuppressionKernel',['../classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#a5cc7d26dd5db03eb9ee2dd3f7f0926a9',1,'arm_compute::CPPNonMaximumSuppressionKernel']]],
   ['_7ecpppermutekernel',['~CPPPermuteKernel',['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ab1ee61e7cba8829906926ec41213dfdc',1,'arm_compute::CPPPermuteKernel']]],
   ['_7ecpptopkvkernel',['~CPPTopKVKernel',['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#aa71d71b48dc3b5e887a3acd7f2e1d928',1,'arm_compute::CPPTopKVKernel']]],
   ['_7ecppupsamplekernel',['~CPPUpsampleKernel',['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a54e158debdfed307691fef9de2124019',1,'arm_compute::CPPUpsampleKernel']]],
@@ -192,9 +197,11 @@
   ['_7emalicounter',['~MaliCounter',['../classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#a87ac9e6ba4855e29fc0f94dc2765daf7',1,'arm_compute::test::framework::MaliCounter']]],
   ['_7ememorygroupbase',['~MemoryGroupBase',['../classarm__compute_1_1_memory_group_base.xhtml#afa4d42fbf7f8e750b0b06994bcdf138c',1,'arm_compute::MemoryGroupBase']]],
   ['_7ememorygroupresourcescope',['~MemoryGroupResourceScope',['../classarm__compute_1_1_memory_group_resource_scope.xhtml#a21491a2d20822db81c534c7dfbb790cd',1,'arm_compute::MemoryGroupResourceScope']]],
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documentation/search/functions_2.js

diff --git a/documentation/search/functions_2.js b/documentation/search/functions_2.js
index 4831af8..5b13107 100644
--- a/documentation/search/functions_2.js
+++ b/documentation/search/functions_2.js
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   ['ceil_5fto_5fmultiple',['ceil_to_multiple',['../namespacearm__compute.xhtml#ab237a0a375cf382d52b61653248d3d4a',1,'arm_compute']]],
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1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1746a40504c1600cad5df8b24c2c928e',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 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DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37cb466fcacd191071bf2d6d4a1dba5e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, 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expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7aadc4b7727668e738a6e31fe7a12f3d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make("Format", Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4fdf7f045788a948ee31e97a076d639',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 23U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make("GpuTarget", { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make("Expected", { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a484fa4160f71724020a18b1c8210fd11',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallDilatedConvolutionLayerDataset(), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b5e91ed93508f02f0d84f8647d70545',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, 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TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make("BiasesInfo",{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0661dab56621eb39f7ed24eef46dd71',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79eb81d07ea2905434fe6223387f46df',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76d69fa1a3a22e9db4eef7b062fc53aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::Small2DShapes(), 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PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 1, 0, 0) })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b7abb0d97c0768de8e5e1976cd2805',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make("DataType", DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff993409f5489af4dec6bea2971170d0',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(8U, 2U), 1, 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DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), })), framework::dataset::make("CellBiasInfo", { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make("ProjectionBiasInfo", { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make("CellStateInfo", { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make("ScratchInfo", { TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(12U, 2U), 1, DataType::F32), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false })), input_info, input_weights_info, recurrent_weights_info, cell_bias_info, projection_bias_info, cell_state_info, output_info, scratch_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a757766423c4a26da3e4422e496617b8a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::S16, DataType::S32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab437980729c1a4aca8155d3bf96f40d1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, 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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make("NormInfo", { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 5), })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3cae9fc421a796d441b8bca1d0cc074',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make("DataType", { DataType::F16 })), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, dt, 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framework::dataset::make("MSTDInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(8U), 1, DataType::F16), TensorInfo(TensorShape(6U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, true, false, false })), input_info, output_info, msd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0824b01503b3793ca2aeef15e88793e1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32) }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32) })), framework::dataset::make("PaddingSize", { PaddingList{{0, 0}}, PaddingList{{1, 1}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{1, 1}, {1, 1}, {1, 1}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{0, 0}, {0, 0}, {1, 1}} })), framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::SYMMETRIC, PaddingMode::REFLECT, PaddingMode::REFLECT })), framework::dataset::make("Expected", { false, false, true, false, true, false })), input_info, output_info, padding, mode, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9830b21da051c2c7724923c6729e5fd9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo",{ TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::S16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32) }), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(3U, 5U, 7U, 7U), 1, DataType::S16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32) })), framework::dataset::make("PermutationVector", { PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(0U, 0U, 0U, 1000U) })), framework::dataset::make("Expected", { true, false, false, false, true, true, false, true, false, true, false })), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a10cbef7a4d5b95ee888e5371244056ae',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small4DShapes(), framework::dataset::make("DataType", { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d8ceb03a628fbc166c979678ab5ceef',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("Scale",{ 2.f, 2.f, 2.f, -1.f, 1.f, 1.f})), framework::dataset::make("Expected", { true, true, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47c98d948b32f0d1996681eef38f80d6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), 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TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make("PadStrideInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("ax", { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make("ay", { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a925ebbdb984bd7de1e60ca47eb30502d',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U16), TensorInfo(TensorShape(32U, 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TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 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1U), Size2D(1U, 1U), Size2D(25U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3b2d5fd8f3b2e1f7b4cbafebb25e312',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, 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1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), })), framework::dataset::make("Axis", { 0, 1, -2, 0, 1, 0, 1, 2, -3, })), framework::dataset::make("Expected", { true, true, false, false, false, false, false, false })), input_info, indices_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11fd6d63471dbfe356bf3f9a8148d15a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallGatherDataset(), framework::dataset::make("DataType", { DataType::F32 })), input_shape, indices_shape, axis, 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framework::dataset::make("InputBInfo",{ TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(64U, 16U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(8U, 11U), 1, DataType::S32), TensorInfo(TensorShape(64U, 32U), 1, DataType::S32), })), framework::dataset::make("Expected", { false, false, false, false, true })), a_info, b_info, output_info, 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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), })), framework::dataset::make("AxisInfo", { TensorInfo(TensorShape(3U), 1, DataType::U8), TensorInfo(TensorShape(2U, 10U), 1, DataType::U32), TensorInfo(TensorShape(8U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), })), framework::dataset::make("Expected", { false, false, false, false, true, true})), src_info, dst_info, axis_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71312f987688bcde305a812d35b13dd3',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make("PadStrideInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), 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TensorInfo(TensorShape(25U, 12U, 9U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 8U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 12U), 1, DataType::F32) })), framework::dataset::make("Expected", { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a308fdbbdd8acf151212546da812f9241',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), 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TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1746a40504c1600cad5df8b24c2c928e',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37cb466fcacd191071bf2d6d4a1dba5e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, true, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7aadc4b7727668e738a6e31fe7a12f3d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make("Format", Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4fdf7f045788a948ee31e97a076d639',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 23U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make("GpuTarget", { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make("Expected", { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a484fa4160f71724020a18b1c8210fd11',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallDilatedConvolutionLayerDataset(), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2984963251e0e13f3b22490d7d903c85',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make("BiasesInfo",{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0661dab56621eb39f7ed24eef46dd71',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a44a32dc2e6237db86ca823ac2440b5e7',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, true, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79eb81d07ea2905434fe6223387f46df',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76d69fa1a3a22e9db4eef7b062fc53aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("Format", Format::U8)), framework::dataset::make("SuppressNonMax", { false, true })), framework::dataset::make("BorderMode", BorderMode::UNDEFINED)), shape, format, suppress_nonmax, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ffb413e9772313766b4b43391198db1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(shapes_1d, data_types), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a125a57a33ba8fbeae87a14ce35b20112',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 3, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F16), TensorInfo(TensorShape(16U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), })), framework::dataset::make("Axis", { 0, 0, 0, 2, 0, 0 })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f2fb01edb34ba6ddb05de976663c471',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 3, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F16), TensorInfo(TensorShape(16U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6977e5dada34102dfca07ad1bd3acc63',1,'arm_compute::test::validation::DATA_TEST_CASE(FillBorder, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::BorderModes()), BorderSizesDataset), PaddingSizesDataset), framework::dataset::make("DataType", DataType::U8)), shape, border_mode, size, padding, 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TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(23U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make("PadStride", { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 1, 0, 0) })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, 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TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), }), framework::dataset::make("InputWeightsInfo", { TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), })), framework::dataset::make("RecurrentWeightsInfo", { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), })), framework::dataset::make("CellBiasInfo", { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make("ProjectionBiasInfo", { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make("CellStateInfo", { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make("ScratchInfo", { TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(12U, 2U), 1, DataType::F32), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false })), input_info, input_weights_info, recurrent_weights_info, cell_bias_info, projection_bias_info, cell_state_info, output_info, scratch_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a757766423c4a26da3e4422e496617b8a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::S16, DataType::S32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab437980729c1a4aca8155d3bf96f40d1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U), 1, DataType::U8), }), framework::dataset::make("Expected", { false, false, true })), input_info, 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expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0824b01503b3793ca2aeef15e88793e1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32) }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32) })), framework::dataset::make("PaddingSize", { PaddingList{{0, 0}}, PaddingList{{1, 1}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{1, 1}, {1, 1}, {1, 1}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{0, 0}, {0, 0}, {1, 1}} })), framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::SYMMETRIC, PaddingMode::REFLECT, PaddingMode::REFLECT })), framework::dataset::make("Expected", { false, false, true, false, true, false })), input_info, output_info, padding, mode, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9830b21da051c2c7724923c6729e5fd9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo",{ TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::S16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32) }), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(3U, 5U, 7U, 7U), 1, DataType::S16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32) })), framework::dataset::make("PermutationVector", { PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(0U, 0U, 0U, 1000U) })), framework::dataset::make("Expected", { true, false, false, false, true, true, false, true, false, true, false })), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a10cbef7a4d5b95ee888e5371244056ae',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small4DShapes(), framework::dataset::make("DataType", { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d8ceb03a628fbc166c979678ab5ceef',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, 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TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(25U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3b2d5fd8f3b2e1f7b4cbafebb25e312',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(25U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0840a58374486ee7d8ca3c3eb2c06430',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_precommit, height_values_precommit), channel_values_precommit), batch_values_precommit), kernel_sz_values_precommit), depth_multiplier_values), dilation_values), stride_values), padding_valid_values), data_type_values), data_layout_values), width_value, height_value, channel_value, batch_value, kernel_sz_value, depth_multiplier_value, dilation_value, stride_value, padding_valid_value, data_type_value, data_layout_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11999ccf435b3a6fb0f2d378439184c4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), data_types), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4393002100019a1d2fe5a825aaf2a966',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(8U, 8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(6U, 6U, 1U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make("Dilation", { Size2D(1U, 2U), Size2D(2U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make("Expected", { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69ea3c5dd19aaf289330db00e8cd20a8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make("BiasesInfo",{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0430585d83ec7ac6d5b857415d62906',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a283cdb9d06e3a1a3f1adfd69c8afa313',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, true, true, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5cc3776357bdc1a71c8731f249de098c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc9d454e2284b99075b4362baea8c238',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, true, true, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02e4fa6ebedae23e8cd42c68038a489a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::U8), TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(64U), 1, DataType::F32), TensorInfo(TensorShape(64U), 1, DataType::F32), TensorInfo(TensorShape(64U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fbf0e6a1c8356ad0918515bb1310e1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), })), framework::dataset::make("BiasInfo",{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), })), framework::dataset::make("TransposeWeights",{ true, true, false, true, true, true })), framework::dataset::make("ReshapedWeights",{ false, false, false, false, false, false})), framework::dataset::make("Expected", { false, true, true, false, false, true })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1ce956bb3fa59263550acbad4f07423',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), }), framework::dataset::make("IndicesInfo", { TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U8), TensorInfo(TensorShape(10U, 10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), })), framework::dataset::make("Axis", { 0, 1, -2, 0, 1, 0, 1, 2, -3, })), framework::dataset::make("Expected", { true, true, false, false, false, false, false, false })), input_info, indices_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11fd6d63471dbfe356bf3f9a8148d15a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallGatherDataset(), framework::dataset::make("DataType", { DataType::F32 })), input_shape, indices_shape, axis, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2492479cb961e36976a096e29d2b9d4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallGEMMLowpDataset(), datasets::LargeGEMMLowpDataset()), shape_a, shape_b, shape_c, a_offset, b_offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fbe9343f61b58335701e0d7a6200ce1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputAInfo", { TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 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diff --git a/documentation/search/functions_5.js b/documentation/search/functions_5.js
index b98e62c..3654275 100644
--- a/documentation/search/functions_5.js
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documentation/search/functions_6.js

diff --git a/documentation/search/functions_6.js b/documentation/search/functions_6.js
index 8fb3eb5..d651cb9 100644
--- a/documentation/search/functions_6.js
+++ b/documentation/search/functions_6.js
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documentation/search/functions_8.js

diff --git a/documentation/search/functions_8.js b/documentation/search/functions_8.js
index 2838a4c..879b628 100644
--- a/documentation/search/functions_8.js
+++ b/documentation/search/functions_8.js
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-  ['qasymm8x8x4_5ft',['qasymm8x8x4_t',['../namespacearm__compute.xhtml#a41d3460ff424e2e21c629b3f27386a8b',1,'arm_compute']]]
+  ['qasymm8x8x4_5ft',['qasymm8x8x4_t',['../namespacearm__compute.xhtml#a41d3460ff424e2e21c629b3f27386a8b',1,'arm_compute']]],
+  ['qsymm16_5ft',['qsymm16_t',['../namespacearm__compute.xhtml#a33d1899b4ff31e4a36f93fa618978196',1,'arm_compute']]],
+  ['qsymm16x8_5ft',['qsymm16x8_t',['../namespacearm__compute.xhtml#a4cff22f3ad85935b271be7c660fea33c',1,'arm_compute']]],
+  ['qsymm16x8x2_5ft',['qsymm16x8x2_t',['../namespacearm__compute.xhtml#a9ad60d47682e81883cb85a8ca97f3460',1,'arm_compute']]],
+  ['qsymm8_5ft',['qsymm8_t',['../namespacearm__compute.xhtml#a7a5eaeb85796337b6041e598afd4c4a3',1,'arm_compute']]]
 ];

documentation/search/typedefs_13.js

diff --git a/documentation/search/typedefs_13.js b/documentation/search/typedefs_13.js
index 241be84..28c46ee 100644
--- a/documentation/search/typedefs_13.js
+++ b/documentation/search/typedefs_13.js
@@ -2,9 +2,9 @@
 [
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   ['tensor4d',['Tensor4D',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a3b8a88f73e80a621aecfe7ced12c1676',1,'helpers.h']]],
-  ['tensorconcretetype',['TensorConcreteType',['../classarm__compute_1_1graph_1_1backends_1_1_fused_convolution_batch_normalization_function.xhtml#a991b6faefbee1cf7b9cf77647c30a6ec',1,'arm_compute::graph::backends::FusedConvolutionBatchNormalizationFunction']]],
+  ['tensorconcretetype',['TensorConcreteType',['../classarm__compute_1_1graph_1_1backends_1_1_fused_convolution_batch_normalization_function.xhtml#a991b6faefbee1cf7b9cf77647c30a6ec',1,'arm_compute::graph::backends::FusedConvolutionBatchNormalizationFunction::TensorConcreteType()'],['../classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a991b6faefbee1cf7b9cf77647c30a6ec',1,'arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction::TensorConcreteType()']]],
   ['tensorid',['TensorID',['../namespacearm__compute_1_1graph.xhtml#a615af95e19b5d9f74d2760183566a9a3',1,'arm_compute::graph']]],
-  ['tensortype',['TensorType',['../classarm__compute_1_1graph_1_1backends_1_1_fused_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca',1,'arm_compute::graph::backends::FusedConvolutionBatchNormalizationFunction']]],
+  ['tensortype',['TensorType',['../classarm__compute_1_1graph_1_1backends_1_1_fused_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca',1,'arm_compute::graph::backends::FusedConvolutionBatchNormalizationFunction::TensorType()'],['../classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca',1,'arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction::TensorType()']]],
   ['thresholdfixture',['ThresholdFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a31d631a1d87f30b46a1d81f2e3393d9a',1,'arm_compute::test::validation']]],
   ['transforminputkernel',['TransformInputKernel',['../classarm__compute_1_1_n_e_winograd_layer_configuration.xhtml#afad7d48b2aacdab4c4d731e1aab98c6f',1,'arm_compute::NEWinogradLayerConfiguration']]],
   ['transformoutputkernel',['TransformOutputKernel',['../classarm__compute_1_1_n_e_winograd_layer_configuration.xhtml#a3637009f3df69cdc77be902ee35b02a1',1,'arm_compute::NEWinogradLayerConfiguration']]],

documentation/search/typedefs_2.js

diff --git a/documentation/search/typedefs_2.js b/documentation/search/typedefs_2.js
index 5e62a23..b2ca9e3 100644
--- a/documentation/search/typedefs_2.js
+++ b/documentation/search/typedefs_2.js
@@ -1,5 +1,6 @@
 var searchData=
 [
+  ['bbox',['BBox',['../namespacearm__compute.xhtml#aa2b075b5da72ec6bb14f90c202443eb0',1,'arm_compute']]],
   ['bistrides',['BiStrides',['../namespacearm__compute.xhtml#a11916d4148a39a67794050373f54825a',1,'arm_compute']]],
   ['buffer',['Buffer',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#acf18a24d1f21176e811e88cee2a70f1f',1,'arm_compute::test::SimpleTensor']]]
 ];

documentation/search/typedefs_3.js

diff --git a/documentation/search/typedefs_3.js b/documentation/search/typedefs_3.js
index 82b4f94..35da92c 100644
--- a/documentation/search/typedefs_3.js
+++ b/documentation/search/typedefs_3.js
@@ -1,5 +1,6 @@
 var searchData=
 [
+  ['clabslayerfixture',['CLAbsLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e6fe50b9c179e760cdf877f5837fc99',1,'arm_compute::test::validation']]],
   ['clabsolutedifferencefixture',['CLAbsoluteDifferenceFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a17967f86f28154a67d49e4056c80b7d3',1,'arm_compute::test::validation']]],
   ['claccumulatefixture',['CLAccumulateFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a11d3fb142f46db262d4621358bd9b470',1,'arm_compute::test::validation']]],
   ['claccumulatesquaredfixture',['CLAccumulateSquaredFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b64a7d146dd29cee9e7c67a3ab104a0',1,'arm_compute::test::validation']]],
@@ -8,12 +9,11 @@
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   ['clarithmeticadditionbroadcastfixture',['CLArithmeticAdditionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a40a8246461ec236ef0d194b771f165db',1,'arm_compute::test::validation']]],
   ['clarithmeticadditionfixture',['CLArithmeticAdditionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6faaa6a770361529ed83471997cea631',1,'arm_compute::test::validation']]],
-  ['clarithmeticadditionquantizedfixture',['CLArithmeticAdditionQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad84df5a0fdce2a53236c8c1b256c852b',1,'arm_compute::test::validation']]],
   ['clarithmeticdivisionbroadcastfixture',['CLArithmeticDivisionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac91c705162f84cdbfdce90bdb135e2e4',1,'arm_compute::test::validation']]],
   ['clarithmeticdivisionfixture',['CLArithmeticDivisionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af78d518c71cb02284c72e7271dc79c8f',1,'arm_compute::test::validation']]],
   ['clarithmeticsubtractionbroadcastfixture',['CLArithmeticSubtractionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a763a6efeb0cf8b7c7471ada355088304',1,'arm_compute::test::validation']]],
   ['clarithmeticsubtractionfixture',['CLArithmeticSubtractionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a06df93f59784a4e39289572b8808158f',1,'arm_compute::test::validation']]],
-  ['clarithmeticsubtractionquantizedfixture',['CLArithmeticSubtractionQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a80bb2f93e59c7ff9dbfb21a26db6825d',1,'arm_compute::test::validation']]],
+  ['clbatchconcatenatelayerfixture',['CLBatchConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afa1025321dbaf119edb636c9cdea2ed5',1,'arm_compute::test::validation']]],
   ['clbatchnormalizationlayerfixture',['CLBatchNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af80ea91532f0ebdccb3f1d8e507a98ad',1,'arm_compute::test::benchmark::CLBatchNormalizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68896a47b324b69e39f553ba14342a9a',1,'arm_compute::test::validation::CLBatchNormalizationLayerFixture()']]],
   ['clbatchnormalizationlayerfusionfixture',['CLBatchNormalizationLayerFusionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adc80af4a1a7ef6ad34b62706bcd60c28',1,'arm_compute::test::validation']]],
   ['clbatchtospacelayerfixture',['CLBatchToSpaceLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2200847743f71611eb8687d2e26b440',1,'arm_compute::test::validation']]],
@@ -61,7 +61,7 @@
   ['cldeconvolutionlayerquantizedfixture1x1',['CLDeconvolutionLayerQuantizedFixture1x1',['../namespacearm__compute_1_1test_1_1validation.xhtml#a639a87a5df1d542b9b9b4d87f8ed423a',1,'arm_compute::test::validation']]],
   ['cldeconvolutionlayerquantizedfixture2x2',['CLDeconvolutionLayerQuantizedFixture2x2',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac1b2ec2ed0c74e5cac07a970ffc03525',1,'arm_compute::test::validation']]],
   ['cldeconvolutionlayerquantizedfixture3x3',['CLDeconvolutionLayerQuantizedFixture3x3',['../namespacearm__compute_1_1test_1_1validation.xhtml#abb10129763fb266c517f53bca55dc6ee',1,'arm_compute::test::validation']]],
-  ['cldepthconcatenatelayerfixture',['CLDepthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a85cc13cded1c0485c4ad8a90962b298f',1,'arm_compute::test::benchmark::CLDepthConcatenateLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a01864dcc1581cf03f1d0808e30ec8845',1,'arm_compute::test::validation::CLDepthConcatenateLayerFixture()']]],
+  ['cldepthconcatenatelayerfixture',['CLDepthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a001e99bd69513b2982a37b9e48a366d5',1,'arm_compute::test::benchmark::CLDepthConcatenateLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a01864dcc1581cf03f1d0808e30ec8845',1,'arm_compute::test::validation::CLDepthConcatenateLayerFixture()']]],
   ['cldepthconvertlayertof16fixture',['CLDepthConvertLayerToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af34f4659b265497215fd2a556a603a2a',1,'arm_compute::test::validation']]],
   ['cldepthconvertlayertof32fixture',['CLDepthConvertLayerToF32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a37074ca554a7e99c0109c21661b1f942',1,'arm_compute::test::validation']]],
   ['cldepthconvertlayertos16fixture',['CLDepthConvertLayerToS16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b6d655ebf3833ad6f67708e7cf2626d',1,'arm_compute::test::validation']]],
@@ -69,6 +69,7 @@
   ['cldepthconvertlayertou16fixture',['CLDepthConvertLayerToU16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#abdd878afda3fc9fd84d80dd5c730ac53',1,'arm_compute::test::validation']]],
   ['cldepthconvertlayertou32fixture',['CLDepthConvertLayerToU32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f40d9ffb69897acaba91f2b4c88209b',1,'arm_compute::test::validation']]],
   ['cldepthconvertlayertou8fixture',['CLDepthConvertLayerToU8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a909e0727b1128c90c5be56db27e93670',1,'arm_compute::test::validation']]],
+  ['cldepthtospacelayerfixture',['CLDepthToSpaceLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9707f96322ded6e9317037109721dbe4',1,'arm_compute::test::validation']]],
   ['cldepthwiseconvolutionlayerfixture',['CLDepthwiseConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3b4fdd4e87ff1c0b97c9844a26307eb9',1,'arm_compute::test::benchmark::CLDepthwiseConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce',1,'arm_compute::test::validation::CLDepthwiseConvolutionLayerFixture()']]],
   ['cldepthwiseseparableconvolutionlayerfixture',['CLDepthwiseSeparableConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adc07e82b4049d653c965af2606a7d70f',1,'arm_compute::test::benchmark::CLDepthwiseSeparableConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d8ee70f334bba58e619c86492b9f014',1,'arm_compute::test::validation::CLDepthwiseSeparableConvolutionLayerFixture()']]],
   ['cldequantizationlayerfixture',['CLDequantizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a080692d080fe0724e47b2134d903684a',1,'arm_compute::test::benchmark::CLDequantizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30b407fe9a284b2478c914e1981c3d47',1,'arm_compute::test::validation::CLDequantizationLayerFixture()']]],
@@ -84,6 +85,8 @@
   ['clelementwiseminbroadcastfixture',['CLElementwiseMinBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adbaeb48db56dd0a41e5e60f98eed1ae1',1,'arm_compute::test::validation']]],
   ['clelementwiseminfixture',['CLElementwiseMinFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a16b2b6dde678ad3c4ba72fb9b54ebcdf',1,'arm_compute::test::validation']]],
   ['clelementwiseminquantizedfixture',['CLElementwiseMinQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5486c0e964412fe058ec3dd76c53b924',1,'arm_compute::test::validation']]],
+  ['clelementwisepowerbroadcastfixture',['CLElementwisePowerBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab7606edc7c8a1aa014024a71832b894d',1,'arm_compute::test::validation']]],
+  ['clelementwisepowerfixture',['CLElementwisePowerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a20b9038dd9129e4407769fb8267b3443',1,'arm_compute::test::validation']]],
   ['clelementwisesquareddiffbroadcastfixture',['CLElementwiseSquaredDiffBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c2ef1e913d91050a50463c4890d977d',1,'arm_compute::test::validation']]],
   ['clelementwisesquareddifffixture',['CLElementwiseSquaredDiffFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac93dffba58280b2ff64ae94f278fd0f4',1,'arm_compute::test::validation']]],
   ['clelementwisesquareddiffquantizedfixture',['CLElementwiseSquaredDiffQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#acb491565f94333d6aecdeb7271b26567',1,'arm_compute::test::validation']]],
@@ -100,6 +103,8 @@
   ['clfloorfixture',['CLFloorFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4a14e383a632057e99845c74a72a6454',1,'arm_compute::test::benchmark::CLFloorFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af883fa9f2d63cdafcb99f78ce2c37c81',1,'arm_compute::test::validation::CLFloorFixture()']]],
   ['clfullyconnectedlayerfixture',['CLFullyConnectedLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a',1,'arm_compute::test::benchmark::CLFullyConnectedLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3445246c7cbb16827311a37d22ce8094',1,'arm_compute::test::validation::CLFullyConnectedLayerFixture()']]],
   ['clfullyconnectedlayerquantizedfixture',['CLFullyConnectedLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ecacf87867a268154ad19b322e2cae2',1,'arm_compute::test::validation']]],
+  ['clfusebatchnormalizationconvfixture',['CLFuseBatchNormalizationConvFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c6a70d3f1fcaf41cec284399463615e',1,'arm_compute::test::validation']]],
+  ['clfusebatchnormalizationdwcfixture',['CLFuseBatchNormalizationDWCFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a74730a06591798a3d9c50b6fa4c07339',1,'arm_compute::test::validation']]],
   ['clgatherfixture',['CLGatherFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae361cc82341e68eb36d93aa47fc2d47a',1,'arm_compute::test::validation']]],
   ['clgaussian3x3fixture',['CLGaussian3x3Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac27be9a85d033e4a482fbff9f09e5708',1,'arm_compute::test::validation']]],
   ['clgaussian5x5fixture',['CLGaussian5x5Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aea53a09faa8521bc42baeee9f3bc81ac',1,'arm_compute::test::validation']]],
@@ -108,22 +113,27 @@
   ['clgemmconvolutionlayerfixture',['CLGEMMConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a834ff3152a662fff46917ed60519aaae',1,'arm_compute::test::benchmark::CLGEMMConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a94a15057a0ff4d88b074dbd787507bfe',1,'arm_compute::test::validation::CLGEMMConvolutionLayerFixture()']]],
   ['clgemmdilatedconvolutionlayerfixture',['CLGEMMDilatedConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f5a8c7b313666262640d9bdadea75cf',1,'arm_compute::test::validation']]],
   ['clgemmdilatedconvolutionlayerquantizedfixture',['CLGEMMDilatedConvolutionLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac214a4380d88dd18fe907a686d29ad56',1,'arm_compute::test::validation']]],
-  ['clgemmfixture',['CLGEMMFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf07c2bf7d8e9c76e146f9b21bee88fd',1,'arm_compute::test::benchmark']]],
+  ['clgemmfixture',['CLGEMMFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf07c2bf7d8e9c76e146f9b21bee88fd',1,'arm_compute::test::benchmark::CLGEMMFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02a82a5e8cc3d3a54da7fd340f9bc81b',1,'arm_compute::test::validation::CLGEMMFixture()']]],
   ['clgemminputoutput3dfixture',['CLGEMMInputOutput3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e33e708dcd8f877cd5b8a9e9bb68017',1,'arm_compute::test::validation']]],
-  ['clgemminterleave4x4',['CLGEMMInterleave4x4',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2ba36b2bb455fe3e2c73534ed8b5bee7',1,'arm_compute::test::validation']]],
-  ['clgemminterleave4x4fixture',['CLGEMMInterleave4x4Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afdc32f67ae6cdc84f731b3715c8589c6',1,'arm_compute::test::validation']]],
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   ['clgemmlowpmatrixmultiplycorefixture',['CLGEMMLowpMatrixMultiplyCoreFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a987e738d167c4e273e09c6295fdde3a4',1,'arm_compute::test::validation']]],
   ['clgemmlowpmatrixmultiplycorefusedoffsetoutputfixture',['CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8bb2447471cf633d8db24ab5b97d9f48',1,'arm_compute::test::validation']]],
+  ['clgemmlowpmatrixmultiplynative',['CLGEMMLowpMatrixMultiplyNative',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa258eb8b4e36499453ccc0b0a69b2cf2',1,'arm_compute::test::validation']]],
+  ['clgemmlowpmatrixmultiplynative3dfixture',['CLGEMMLowpMatrixMultiplyNative3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7e87135a3abb932470765e522a965e5',1,'arm_compute::test::validation']]],
+  ['clgemmlowpmatrixmultiplynativefixture',['CLGEMMLowpMatrixMultiplyNativeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e120626f2f1494ae4c4cb57de52c684',1,'arm_compute::test::validation']]],
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   ['clgemmlowpmatrixmultiplyreshapedonlyrhsfixture',['CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ee2e5ad5925615ee01db515e85364d6',1,'arm_compute::test::validation']]],
+  ['clgemmlowpquantizedownint32toint16scalebyfixedpointfixture',['CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a15c6506e30173db40a20ba12ffbd3e47',1,'arm_compute::test::validation']]],
   ['clgemmlowpquantizedownint32touint8scalebyfixedpointfixture',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a71106ae8df0196a319680b32270fd757',1,'arm_compute::test::validation']]],
   ['clgemmlowpquantizedownint32touint8scalefixture',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a527c6fecbfe2c655c29481170eeee85a',1,'arm_compute::test::validation']]],
-  ['clgemmmatrixmultiplyreshaped',['CLGEMMMatrixMultiplyReshaped',['../namespacearm__compute_1_1test_1_1validation.xhtml#a50b165b25b7da7df9a788d5d62f48855',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplynative',['CLGEMMMatrixMultiplyNative',['../namespacearm__compute_1_1test_1_1validation.xhtml#a20783331257f992937044f2d0583f6a5',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplynative3dfixture',['CLGEMMMatrixMultiplyNative3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0945cf440bbfbc3f45b026783e7dd8ca',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplynativefixture',['CLGEMMMatrixMultiplyNativeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4793952e8a68280d40a8a970963bdc0b',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplyreshaped',['CLGEMMMatrixMultiplyReshaped',['../namespacearm__compute_1_1test_1_1validation.xhtml#a555e06271e47def9ad2a7288e866f49c',1,'arm_compute::test::validation']]],
   ['clgemmmatrixmultiplyreshaped3dfixture',['CLGEMMMatrixMultiplyReshaped3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a190fe7a9395c7506255fd387eb1be2',1,'arm_compute::test::validation']]],
   ['clgemmmatrixmultiplyreshapedfixture',['CLGEMMMatrixMultiplyReshapedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a10eacde4892fc6fdb56211ef534edaf6',1,'arm_compute::test::validation']]],
   ['clgemmmatrixmultiplyreshapedonlyrhs',['CLGEMMMatrixMultiplyReshapedOnlyRHS',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c47d479a7819a577544acf51b89941f',1,'arm_compute::test::validation']]],
@@ -135,8 +145,6 @@
   ['clgemmreshapelhsmatrixfixture',['CLGEMMReshapeLHSMatrixFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5421498ced7e1d84398e7089e8676698',1,'arm_compute::test::validation']]],
   ['clgemmreshaperhsmatrix',['CLGEMMReshapeRHSMatrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a271f3aaba51bc5f0476207e081b5d218',1,'arm_compute::test::validation']]],
   ['clgemmreshaperhsmatrixfixture',['CLGEMMReshapeRHSMatrixFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8940bafe88f119d432694269bb00b054',1,'arm_compute::test::validation']]],
-  ['clgemmtranspose1xw',['CLGEMMTranspose1xW',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8c12b8c19f4e7f45756d4a4dcb4c3156',1,'arm_compute::test::validation']]],
-  ['clgemmtranspose1xwfixture',['CLGEMMTranspose1xWFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af378f9e131ac6da2262ac5cc56a6d796',1,'arm_compute::test::validation']]],
   ['clglobalpoolinglayerfixture',['CLGlobalPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae325848d601b17aee0a81064a15ef1eb',1,'arm_compute::test::validation']]],
   ['clgreater',['CLGreater',['../namespacearm__compute.xhtml#ab9b18840e11edcbeafcd80d4c44b80cb',1,'arm_compute']]],
   ['clgreaterequal',['CLGreaterEqual',['../namespacearm__compute.xhtml#ade630074f2c9d58d64c399bd6b49bc56',1,'arm_compute']]],
@@ -161,12 +169,15 @@
   ['cllkinternalkeypointarray',['CLLKInternalKeypointArray',['../namespacearm__compute.xhtml#a70997613219641045213b0c12948fb74',1,'arm_compute']]],
   ['cllocallyconnectedfixture',['CLLocallyConnectedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a06a2346d6ea7c3502acb864cf9dca472',1,'arm_compute::test::validation']]],
   ['cllocallyconnectedlayerfixture',['CLLocallyConnectedLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a33a2676af30f41e61ad5fb058305f3a1',1,'arm_compute::test::benchmark']]],
+  ['clloglayerfixture',['CLLogLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a183f703c9269cf1936649ab0d2fc6628',1,'arm_compute::test::validation']]],
   ['cllstmlayerfixture',['CLLSTMLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1405b73d186e006e4df0b74fd992a85e',1,'arm_compute::test::validation']]],
   ['clmagnitudefixture',['CLMagnitudeFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af130b604cb659b8c6b42ad2de6f2ef09',1,'arm_compute::test::benchmark::CLMagnitudeFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31869f2bbeb22798fa9418c65178bbed',1,'arm_compute::test::validation::CLMagnitudeFixture()']]],
   ['clmeanstddevfixture',['CLMeanStdDevFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44a9e1114f48b06eaad2131b8ca3ec18',1,'arm_compute::test::benchmark::CLMeanStdDevFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a631f2be1b59ac1d5df3361b5440664da',1,'arm_compute::test::validation::CLMeanStdDevFixture()']]],
+  ['clmeanstddevnormalizationlayerfixture',['CLMeanStdDevNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad10655f9076dff6f3700d90660fd2bb7',1,'arm_compute::test::validation']]],
   ['clmedian3x3fixture',['CLMedian3x3Fixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abfa1c97445d63b3c8a8a02d2f6802de2',1,'arm_compute::test::benchmark::CLMedian3x3Fixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14c81dd0871df4ddd2eb082220b33036',1,'arm_compute::test::validation::CLMedian3x3Fixture()']]],
   ['clmemorygroup',['CLMemoryGroup',['../namespacearm__compute.xhtml#ac87d48489667d7ff7fc4cc7d0d12c52e',1,'arm_compute']]],
   ['clminmaxlocationfixture',['CLMinMaxLocationFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa6bdcf79c9da7dc65b1863fffb00031a',1,'arm_compute::test::benchmark::CLMinMaxLocationFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab27e23fc11355e60fc8f96cd23a6fafe',1,'arm_compute::test::validation::CLMinMaxLocationFixture()']]],
+  ['clneglayerfixture',['CLNegLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a580051cd5c737d5dad551535ded1e7f3',1,'arm_compute::test::validation']]],
   ['clnonlinearfilterfixture',['CLNonLinearFilterFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f51783dfb1dc97681b4a518f62ea892',1,'arm_compute::test::validation']]],
   ['clnormalizationlayerfixture',['CLNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af4f1c6ad288931f07f614316f57ed63b',1,'arm_compute::test::benchmark::CLNormalizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a63b510b6111d8c5cc66a49d0ea847645',1,'arm_compute::test::validation::CLNormalizationLayerFixture()']]],
   ['clnormalizeplanaryuvlayerfixture',['CLNormalizePlanarYUVLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fa89c82a793c2c906021cd0dd4775fc',1,'arm_compute::test::validation']]],
@@ -181,6 +192,9 @@
   ['clpixelwisemultiplicationtof16fixture',['CLPixelWiseMultiplicationToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a01dfdb63621fcbf3c3ca5a23c46bf895',1,'arm_compute::test::validation']]],
   ['clpixelwisemultiplicationtof32fixture',['CLPixelWiseMultiplicationToF32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3e50128989b47083e974e3567740655',1,'arm_compute::test::validation']]],
   ['clpoolinglayerfixture',['CLPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d',1,'arm_compute::test::benchmark::CLPoolingLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adcc3bdbd96fb09bd8bd54c9d9593c606',1,'arm_compute::test::validation::CLPoolingLayerFixture()']]],
+  ['clprelulayerbroadcastfixture',['CLPReluLayerBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b574c491863e1570f3caa4f06ace69e',1,'arm_compute::test::validation']]],
+  ['clprelulayerfixture',['CLPReluLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a56bfa4e9f3a9842e11e9cbb4825f6786',1,'arm_compute::test::validation']]],
+  ['clprelulayerquantizedfixture',['CLPReluLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ba2767e0315bf55a585eeb0f61ac496',1,'arm_compute::test::validation']]],
   ['clpriorboxlayerfixture',['CLPriorBoxLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a81ff254724c5bf7068fa0cc849a4e17c',1,'arm_compute::test::validation']]],
   ['clquantizationlayerfixture',['CLQuantizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac461a441f4499be7e2a387fe2498f68a',1,'arm_compute::test::benchmark::CLQuantizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe17242ac54a18f05073a7c6931377b7',1,'arm_compute::test::validation::CLQuantizationLayerFixture()']]],
   ['clrangefixture',['CLRangeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a093d44ee693551080f98f1021e823405',1,'arm_compute::test::validation']]],
@@ -193,6 +207,7 @@
   ['clrnnlayerfixture',['CLRNNLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3fe7c48d81f7a47f8c66014daac1e9d',1,'arm_compute::test::validation']]],
   ['clroialignlayerfixture',['CLROIAlignLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af4460c5f824eeec0b634be6985551e8d',1,'arm_compute::test::validation']]],
   ['clroipoolinglayerfixture',['CLROIPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a2d199bdbc64e1c80e1096b12bcde1a',1,'arm_compute::test::benchmark']]],
+  ['clroundlayerfixture',['CLRoundLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6fa72922e26cb1b90722f1a957932e8',1,'arm_compute::test::validation']]],
   ['clrsqrtlayerfixture',['CLRsqrtLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2aee958d09568156d81e704650499923',1,'arm_compute::test::validation']]],
   ['clscalefixture',['CLScaleFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa3b2039094c0b6ad71ddcc7cbee9033b',1,'arm_compute::test::benchmark::CLScaleFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7c041e59e49d4ca416b7e060f0907c33',1,'arm_compute::test::validation::CLScaleFixture()']]],
   ['clscharr3x3fixture',['CLScharr3x3Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afcc0e93c642a2eacf8eba2c1d238ef58',1,'arm_compute::test::validation']]],
@@ -203,6 +218,7 @@
   ['clseparableconvolution7x7vertkernel',['CLSeparableConvolution7x7VertKernel',['../namespacearm__compute.xhtml#a0ffdf01e236016ce8d366a69875d1375',1,'arm_compute']]],
   ['clseparableconvolution9x9horkernel',['CLSeparableConvolution9x9HorKernel',['../namespacearm__compute.xhtml#a9f34ccad344bc43d25e8be2b828853aa',1,'arm_compute']]],
   ['clseparableconvolution9x9vertkernel',['CLSeparableConvolution9x9VertKernel',['../namespacearm__compute.xhtml#a6d08e1e881bf611c1e1b9e2bb8810d19',1,'arm_compute']]],
+  ['clsinlayerfixture',['CLSinLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac33bf30883f890f481e8dcbaead309df',1,'arm_compute::test::validation']]],
   ['clsize2darray',['CLSize2DArray',['../namespacearm__compute.xhtml#a3f9ab729931f4e4fa36ff1683186d988',1,'arm_compute']]],
   ['clslicefixture',['CLSliceFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adba405e81d38828f810bbb613bb31811',1,'arm_compute::test::validation']]],
   ['clsobel3x3fixture',['CLSobel3x3Fixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac7fadd335dff9e080b6a8d0c153d389e',1,'arm_compute::test::benchmark::CLSobel3x3Fixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4605aaabfffeca6e66a79e31a57e107f',1,'arm_compute::test::validation::CLSobel3x3Fixture()']]],
@@ -211,6 +227,7 @@
   ['clsoftmaxlayerfixture',['CLSoftmaxLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab532906bae5b47b20f74c2fd5f2ef147',1,'arm_compute::test::benchmark::CLSoftmaxLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a83163dd1af81a83de6d951b1f3f86f8a',1,'arm_compute::test::validation::CLSoftmaxLayerFixture()']]],
   ['clsoftmaxlayerquantizedfixture',['CLSoftmaxLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c8bb6887ae1f3c848e04ec4c71324ff',1,'arm_compute::test::validation']]],
   ['clspacetobatchlayerfixture',['CLSpaceToBatchLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a06a0db6fb959881302517937590f66b2',1,'arm_compute::test::validation']]],
+  ['clspacetodepthlayerfixture',['CLSpaceToDepthLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0c23b0170c87fec4d92c28e1dc41c3e',1,'arm_compute::test::validation']]],
   ['clspecialpoolinglayerfixture',['CLSpecialPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a51ed50eaac66cb6850e931493f74ca84',1,'arm_compute::test::validation']]],
   ['clsplitfixture',['CLSplitFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af677be2cf1bacfa405863a3405a41394',1,'arm_compute::test::validation']]],
   ['clstacklayerfixture',['CLStackLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a074cf3579b7e75a0ea54b33ccc0c2804',1,'arm_compute::test::validation']]],

documentation/search/typedefs_b.js

diff --git a/documentation/search/typedefs_b.js b/documentation/search/typedefs_b.js
index 4b743ab..746a1f4 100644
--- a/documentation/search/typedefs_b.js
+++ b/documentation/search/typedefs_b.js
@@ -1,5 +1,5 @@
 var searchData=
 [
-  ['labelbbox',['LabelBBox',['../namespacearm__compute.xhtml#a668a7893195a4a08c4d26afd2b15a6b4',1,'arm_compute']]],
+  ['labelbbox',['LabelBBox',['../namespacearm__compute.xhtml#ae6550ea34c33d2e943476386d6ba8bed',1,'arm_compute']]],
   ['lkinternalkeypointarray',['LKInternalKeypointArray',['../namespacearm__compute.xhtml#a681c120e2188371794ec3a59768c64ab',1,'arm_compute']]]
 ];

documentation/search/typedefs_d.js

diff --git a/documentation/search/typedefs_d.js b/documentation/search/typedefs_d.js
index abebd11..f42920f 100644
--- a/documentation/search/typedefs_d.js
+++ b/documentation/search/typedefs_d.js
@@ -1,5 +1,6 @@
 var searchData=
 [
+  ['neabslayerfixture',['NEAbsLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a486604c4b20391c0a5ffc9d0b141ca50',1,'arm_compute::test::validation']]],
   ['neabsolutedifferencefixture',['NEAbsoluteDifferenceFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af538c1f731e37fa2d0c8efee4dc44625',1,'arm_compute::test::validation']]],
   ['neaccumulatefixture',['NEAccumulateFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afdea1957465d3d7fcaaaa91ccf2bbdf8',1,'arm_compute::test::validation']]],
   ['neaccumulatesquaredfixture',['NEAccumulateSquaredFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#accab7177e8385e72312ca47c4130ab18',1,'arm_compute::test::validation']]],
@@ -11,6 +12,7 @@
   ['nearithmeticadditionfixture',['NEArithmeticAdditionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab88f79f12b1e2f38ca362ae50c7667c5',1,'arm_compute::test::validation']]],
   ['nearithmeticsubtractionbroadcastfixture',['NEArithmeticSubtractionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0eb084fb3459d7b924f2fcc423cc1654',1,'arm_compute::test::validation']]],
   ['nearithmeticsubtractionfixture',['NEArithmeticSubtractionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f1ffbd4c465dc70e4b0514ebae79f83',1,'arm_compute::test::validation']]],
+  ['nebatchconcatenatelayerfixture',['NEBatchConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a86eb262fe94e1f65fd8e7bc8a75e6b30',1,'arm_compute::test::validation']]],
   ['nebatchnormalizationlayerfixture',['NEBatchNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac7369c169e6de526fcb6f68e4a959444',1,'arm_compute::test::benchmark::NEBatchNormalizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac8906ce871f33363926bf6bfc0e5e41e',1,'arm_compute::test::validation::NEBatchNormalizationLayerFixture()']]],
   ['nebatchtospacelayerfixture',['NEBatchToSpaceLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a56bc82b4c76371c36d037772ed9fb0af',1,'arm_compute::test::validation']]],
   ['nebitwiseandfixture',['NEBitwiseAndFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8494fb0930740d4443cb4176180effd8',1,'arm_compute::test::validation']]],
@@ -20,6 +22,14 @@
   ['nebox3x3fixture',['NEBox3x3Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a471c06558365a34e9febb387d96ba917',1,'arm_compute::test::validation']]],
   ['nebox3x3fp16kernel',['NEBox3x3FP16Kernel',['../namespacearm__compute.xhtml#a96f7f6f98dc47e0dc3b928bf87397ebf',1,'arm_compute']]],
   ['necannyedgefixture',['NECannyEdgeFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a12b54c51101bcd1abb70339b8f13ec0b',1,'arm_compute::test::benchmark::NECannyEdgeFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47c9d15fd8600e0383550f5a8438d8f4',1,'arm_compute::test::validation::NECannyEdgeFixture()']]],
+  ['necasttof16fixture',['NECastToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af9ccd9e54a0c19db8d7f0c4a2c5ad359',1,'arm_compute::test::validation']]],
+  ['necasttof32fixture',['NECastToF32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3157bd5155481f1a4ce4010b9a8d784a',1,'arm_compute::test::validation']]],
+  ['necasttoqasymm8fixture',['NECastToQASYMM8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4403738a67c7a4f72276cff11451a053',1,'arm_compute::test::validation']]],
+  ['necasttos16fixture',['NECastToS16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4dd0595d7d83080095a4c8d0c96defd1',1,'arm_compute::test::validation']]],
+  ['necasttos32fixture',['NECastToS32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a77863b95e33e3562cbeb409ec5cdfeb5',1,'arm_compute::test::validation']]],
+  ['necasttou16fixture',['NECastToU16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4b15034f95e04962ad7dfc2c9ae4556',1,'arm_compute::test::validation']]],
+  ['necasttou32fixture',['NECastToU32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f34b39f81e3f36fa273141158eee0de',1,'arm_compute::test::validation']]],
+  ['necasttou8fixture',['NECastToU8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a745699bfa8d38ce59ff57f76f0503cb3',1,'arm_compute::test::validation']]],
   ['nechannelextractfixture',['NEChannelExtractFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a46ea17e00c8ddea1beff5ad9d1c544ca',1,'arm_compute::test::validation']]],
   ['nechannelshufflelayerfixture',['NEChannelShuffleLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aae3332dae1ba339c51fcf669bb641786',1,'arm_compute::test::validation']]],
   ['necolorconvertfixture',['NEColorConvertFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab8fb396866bcf9936ff357f16a871325',1,'arm_compute::test::benchmark::NEColorConvertFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae33301a680563529b6c78984161efd47',1,'arm_compute::test::validation::NEColorConvertFixture()']]],
@@ -40,9 +50,10 @@
   ['nedeconvolutionlayerfixture4x4',['NEDeconvolutionLayerFixture4x4',['../namespacearm__compute_1_1test_1_1validation.xhtml#adc7e218231a8128f71ecf1beaef1b9c5',1,'arm_compute::test::validation']]],
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+  ['nefusebatchnormalizationconvfixture',['NEFuseBatchNormalizationConvFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afddb482b264fe68ed6e2a3360e7501f8',1,'arm_compute::test::validation']]],
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+  ['negemmlowpquantizedownint32toint16scalebyfixedpointfixture',['NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab02d25eb6552ea4de2ee31ce6d7210c8',1,'arm_compute::test::validation']]],
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+  ['nepixelwisemultiplicationqasymm8fixture',['NEPixelWiseMultiplicationQASYMM8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a184dc16ffe872f9109749caa16f424',1,'arm_compute::test::validation']]],
+  ['nepixelwisemultiplicationqsymm16fixture',['NEPixelWiseMultiplicationQSYMM16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f96f1a79e47957c2154dc9b26a3b613',1,'arm_compute::test::validation']]],
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+  ['neprelulayerfixture',['NEPReluLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae163a7e7b0b21af48d9a650a4bbc7549',1,'arm_compute::test::validation']]],
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+  ['neroundlayerfixture',['NERoundLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a57d9e804dced6508a6ec937cf6d9d64f',1,'arm_compute::test::validation']]],
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+  ['nespacetodepthlayerfixture',['NESpaceToDepthLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b42098e7320537d1f0ca00abf5c0407',1,'arm_compute::test::validation']]],
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@@ -182,11 +211,11 @@
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+  ['neupsamplelayerquantizedfixture',['NEUpsampleLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e6d67129807615747fa31f9189b8fbb',1,'arm_compute::test::validation']]],
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-  ['nodeid',['NodeID',['../namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7',1,'arm_compute::graph']]],
-  ['normalizedbbox',['NormalizedBBox',['../namespacearm__compute.xhtml#a4ec997c1b05a1fd406828bc7e1f41dad',1,'arm_compute']]]
+  ['nodeid',['NodeID',['../namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7',1,'arm_compute::graph']]]
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documentation/search/variables_0.js

diff --git a/documentation/search/variables_0.js b/documentation/search/variables_0.js
index bef863c..b94fd3f 100644
--- a/documentation/search/variables_0.js
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@@ -1,10 +1,12 @@
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documentation/search/variables_1.js

diff --git a/documentation/search/variables_1.js b/documentation/search/variables_1.js
index fd2bc87..a9e4d5f 100644
--- a/documentation/search/variables_1.js
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+  ['activation_5finfo',['activation_info',['../structarm__compute_1_1_g_e_m_m_kernel_info.xhtml#ad5f55d98fbe268b4eb6225aca14a2403',1,'arm_compute::GEMMKernelInfo']]],
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documentation/search/variables_11.js

diff --git a/documentation/search/variables_11.js b/documentation/search/variables_11.js
index accc278..733ef71 100644
--- a/documentation/search/variables_11.js
+++ b/documentation/search/variables_11.js
@@ -1,7 +1,9 @@
 var searchData=
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   ['quant_5finfo',['quant_info',['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a65bc62ff84efcb7e4a410600480a4dc9',1,'arm_compute::graph::TensorDescriptor']]],
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+  ['quantize_5fdown_5fint32_5fto_5fint16_5fscale_5fby_5ffixedpoint_5frelu_5fcases',['quantize_down_int32_to_int16_scale_by_fixedpoint_relu_cases',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5417547010c7470eaeaca18aafb9b806',1,'arm_compute::test::validation']]],
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documentation/search/variables_12.js

diff --git a/documentation/search/variables_12.js b/documentation/search/variables_12.js
index c32fa83..7f2ff73 100644
--- a/documentation/search/variables_12.js
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@@ -11,6 +11,8 @@
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documentation/search/variables_13.js

diff --git a/documentation/search/variables_13.js b/documentation/search/variables_13.js
index 36b7312..14f41b7 100644
--- a/documentation/search/variables_13.js
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@@ -5,21 +5,27 @@
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documentation/search/variables_14.js

diff --git a/documentation/search/variables_14.js b/documentation/search/variables_14.js
index 135bd2c..e0acf51 100644
--- a/documentation/search/variables_14.js
+++ b/documentation/search/variables_14.js
@@ -5,6 +5,10 @@
   ['target_5fhint',['target_hint',['../structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a81d9ddb43e3c89a5bf3334d475f9d74b',1,'arm_compute::graph::frontend::StreamHints']]],
   ['task',['task',['../structarm__compute_1_1graph_1_1_execution_task.xhtml#adb326630f97b4977df92f1e5ecf0db14',1,'arm_compute::graph::ExecutionTask']]],
   ['tasks',['tasks',['../structarm__compute_1_1graph_1_1_execution_workload.xhtml#ae7d2dcab167d9eba3483a1fa1f330c7f',1,'arm_compute::graph::ExecutionWorkload']]],
+  ['te_5fsin_5fcoeff2',['te_sin_coeff2',['../namespacearm__compute.xhtml#ae3e74f28452dea05869826c30b95f54b',1,'arm_compute']]],
+  ['te_5fsin_5fcoeff3',['te_sin_coeff3',['../namespacearm__compute.xhtml#a9c1bcf45a03708a37132c1e2df5cd2b0',1,'arm_compute']]],
+  ['te_5fsin_5fcoeff4',['te_sin_coeff4',['../namespacearm__compute.xhtml#a542bbd5e844a0a494e3e4078a433d44b',1,'arm_compute']]],
+  ['te_5fsin_5fcoeff5',['te_sin_coeff5',['../namespacearm__compute.xhtml#afe0353e9228b8be37bcdb4a1770f44e3',1,'arm_compute']]],
   ['termination',['termination',['../structarm__compute_1_1_optical_flow_parameters.xhtml#a77d1ea96211300e9417b965981953c81',1,'arm_compute::OpticalFlowParameters']]],
   ['thread_5fid',['thread_id',['../structarm__compute_1_1_thread_info.xhtml#ab488bfc5d1f76143651f915915046354',1,'arm_compute::ThreadInfo']]],
   ['threads',['threads',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a4f987a98d3e1221916748962e45399fe',1,'arm_compute::utils::CommonGraphParams::threads()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#ad6174941c7ae1c945e4f7fcb3261f87c',1,'arm_compute::utils::CommonGraphOptions::threads()']]],

documentation/search/variables_17.js

diff --git a/documentation/search/variables_17.js b/documentation/search/variables_17.js
index 48d587c..8c84843 100644
--- a/documentation/search/variables_17.js
+++ b/documentation/search/variables_17.js
@@ -10,5 +10,8 @@
   ['width',['width',['../classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec',1,'arm_compute::Size2D::width()'],['../structarm__compute_1_1_rectangle.xhtml#ad0eab1042455a2067c812ab8071d5376',1,'arm_compute::Rectangle::width()'],['../structarm__compute_1_1_detection_window.xhtml#ad0eab1042455a2067c812ab8071d5376',1,'arm_compute::DetectionWindow::width()'],['../struct_detection_window.xhtml#a67fe5ca4d6c3f95bf649ef48fe3d221b',1,'DetectionWindow::width()']]],
   ['width_5fpadding',['width_padding',['../namespacearm__compute_1_1test_1_1validation.xhtml#aff72626973dbadf0707b4a4f6c8550e4',1,'arm_compute::test::validation']]],
   ['window_5fdimension',['window_dimension',['../structarm__compute_1_1_optical_flow_parameters.xhtml#aca4f010655c8e5534162dfbfdce31d84',1,'arm_compute::OpticalFlowParameters']]],
-  ['winograd_5finfo',['winograd_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749',1,'arm_compute::test::validation']]]
+  ['winograd_5finfo',['winograd_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749',1,'arm_compute::test::validation']]],
+  ['with_5fbeta_5fvalues',['with_beta_values',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7785b48a5062d371135a6b1f1c85e33f',1,'arm_compute::test::validation']]],
+  ['with_5fbias_5fvalues',['with_bias_values',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6b0d880c2e5703be4c980e615eead21',1,'arm_compute::test::validation']]],
+  ['with_5fgamma_5fvalues',['with_gamma_values',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2003cb0c7c7fcf7ebeaa0e5cdc64c1e3',1,'arm_compute::test::validation']]]
 ];

documentation/search/variables_2.js

diff --git a/documentation/search/variables_2.js b/documentation/search/variables_2.js
index c66ae49..2b89e24 100644
--- a/documentation/search/variables_2.js
+++ b/documentation/search/variables_2.js
@@ -12,5 +12,6 @@
   ['blue_5fcoef_5fbt709',['blue_coef_bt709',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#ab7d52900468f442e85c01d73722d181c',1,'arm_compute::test::colorconvert_helper::detail']]],
   ['border_5fmode',['border_mode',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65',1,'arm_compute::test::validation']]],
   ['bordersizesdataset',['BorderSizesDataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a0ac966aec5b787bd5b1a5218b97401',1,'arm_compute::test::validation']]],
-  ['bottom',['bottom',['../structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869',1,'arm_compute::BorderSize']]]
+  ['bottom',['bottom',['../structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869',1,'arm_compute::BorderSize']]],
+  ['broadcast_5fbias',['broadcast_bias',['../structarm__compute_1_1_g_e_m_m_kernel_info.xhtml#aab96468aedb59e7a2a19c6eea2f4b055',1,'arm_compute::GEMMKernelInfo']]]
 ];

documentation/search/variables_3.js

diff --git a/documentation/search/variables_3.js b/documentation/search/variables_3.js
index e3063d4..4de3231 100644
--- a/documentation/search/variables_3.js
+++ b/documentation/search/variables_3.js
@@ -2,9 +2,14 @@
 [
   ['c0',['c0',['../structarm__compute_1_1_depthwise_convolution_reshape_info.xhtml#a98d2eb8d58557c785f3baa0b848abd3c',1,'arm_compute::DepthwiseConvolutionReshapeInfo']]],
   ['cache_5fsize',['cache_size',['../structarm__compute_1_1_c_l_device_options.xhtml#a95bd826331e8ced007cf895e1d70c670',1,'arm_compute::CLDeviceOptions']]],
-  ['cast',['cast',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1aa002c584953ebbca0dcc213065428a',1,'arm_compute::test::validation']]],
+  ['cast',['cast',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab6297d0cdabfa96a652333a57dc77f79',1,'arm_compute::test::validation']]],
+  ['clabslayerfixture_3c_20float_20_3e',['CLAbsLayerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab178df7932b919ad363ff9aceeeeaa47',1,'arm_compute::test::validation']]],
   ['clactivationlayerfixture_3c_20float_20_3e',['CLActivationLayerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae032868a7b7e2ac31a34e2e3d3fdd476',1,'arm_compute::test::validation']]],
+  ['clactivationlayerquantizedfixture_3c_20int16_5ft_20_3e',['CLActivationLayerQuantizedFixture< int16_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6aee5a77d963d14b04f5260bcc23b04f',1,'arm_compute::test::validation']]],
   ['clargminmaxvalidationfixture_3c_20float_20_3e',['CLArgMinMaxValidationFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#aac57211bd84e03b296fa407fbfab6aae',1,'arm_compute::test::validation']]],
+  ['clargminmaxvalidationfixture_3c_20half_20_3e',['CLArgMinMaxValidationFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9218efef8d04c0b42bd76d2ecd31c3e',1,'arm_compute::test::validation']]],
+  ['clarithmeticadditionfixture_3c_20half_20_3e',['CLArithmeticAdditionFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#aca2d74f9ba30935fe2bc80ba0f63582d',1,'arm_compute::test::validation']]],
+  ['clarithmeticsubtractionfixture_3c_20half_20_3e',['CLArithmeticSubtractionFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9cdc678e82fee58737b3e48a82f849d2',1,'arm_compute::test::validation']]],
   ['clbatchnormalizationlayerfixture_3c_20half_20_3e',['CLBatchNormalizationLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4da3a5c737246cbb15c2c55c8b9f4f0f',1,'arm_compute::test::validation']]],
   ['clboundingboxtransformfixture_3c_20half_20_3e',['CLBoundingBoxTransformFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad02fd463aadfb7f2b72c8dac2fda942e',1,'arm_compute::test::validation']]],
   ['clbuildprogram_5fptr',['clBuildProgram_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#ad35af0d314615874e570540e9853668c',1,'arm_compute::CLSymbols']]],
@@ -36,6 +41,7 @@
   ['cldeconvolutionlayerquantizedfixture1x1_3c_20uint8_5ft_20_3e',['CLDeconvolutionLayerQuantizedFixture1x1< uint8_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a24a1048f0303246c74278e6387dfeadc',1,'arm_compute::test::validation']]],
   ['cldeconvolutionlayerquantizedfixture2x2_3c_20uint8_5ft_20_3e',['CLDeconvolutionLayerQuantizedFixture2x2< uint8_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#af8e781f7e45f0d687a575d103ed69739',1,'arm_compute::test::validation']]],
   ['cldeconvolutionlayerquantizedfixture3x3_3c_20uint8_5ft_20_3e',['CLDeconvolutionLayerQuantizedFixture3x3< uint8_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a08f9efc52919f05d30263bf8a0f72642',1,'arm_compute::test::validation']]],
+  ['cldepthtospacelayerfixture_3c_20half_20_3e',['CLDepthToSpaceLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#aed929c450377a8b39278d76d1e6dd4ff',1,'arm_compute::test::validation']]],
   ['cldepthwiseconvolutionlayerfixture_3c_20float_20_3e',['CLDepthwiseConvolutionLayerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a98594c5ca9886c14365d813714611c79',1,'arm_compute::test::validation']]],
   ['cldepthwiseconvolutionlayerfixture_3c_20half_20_3e',['CLDepthwiseConvolutionLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2437c44063526d22feb88404f431c5c8',1,'arm_compute::test::validation']]],
   ['cldepthwiseconvolutionlayerquantizedfixture_3c_20uint8_5ft_20_3e',['CLDepthwiseConvolutionLayerQuantizedFixture< uint8_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a46215efb57d85d73b814e3a5b3f987c2',1,'arm_compute::test::validation']]],
@@ -43,6 +49,7 @@
   ['cldirectconvolutionlayerfixture_3c_20float_20_3e',['CLDirectConvolutionLayerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2088b98fe9b02606cf2c11c631b1a5c8',1,'arm_compute::test::validation']]],
   ['cldirectconvolutionvalidationwithtensorshapesfixture_3c_20float_20_3e',['CLDirectConvolutionValidationWithTensorShapesFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a49f5f087aaae21a7a485b9f526eda06a',1,'arm_compute::test::validation']]],
   ['cldirectconvolutionvalidationwithtensorshapesquantizedfixture_3c_20uint8_5ft_20_3e',['CLDirectConvolutionValidationWithTensorShapesQuantizedFixture< uint8_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#aaf038292ad471958b8f233e3d2bd43fb',1,'arm_compute::test::validation']]],
+  ['clelementwisepowerfixture_3c_20float_20_3e',['CLElementwisePowerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a64befcacc386e96067e0194343edcc1a',1,'arm_compute::test::validation']]],
   ['clenqueuemapbuffer_5fptr',['clEnqueueMapBuffer_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#abd0ba6c593ff83cb0c3d0e1b746f068a',1,'arm_compute::CLSymbols']]],
   ['clenqueuemarker_5fptr',['clEnqueueMarker_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a527fd99779c605a2203158219f18e95f',1,'arm_compute::CLSymbols']]],
   ['clenqueuendrangekernel_5fptr',['clEnqueueNDRangeKernel_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#ab5c1d962dbe252b8d6a9a3414557d194',1,'arm_compute::CLSymbols']]],
@@ -55,15 +62,17 @@
   ['clfinish_5fptr',['clFinish_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a31fd3504c695582b52ee2426dc71c1d7',1,'arm_compute::CLSymbols']]],
   ['clfloorfixture_3c_20float_20_3e',['CLFloorFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#af56f3d629b6bf2233ec12bb559272780',1,'arm_compute::test::validation']]],
   ['clflush_5fptr',['clFlush_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#ac88fa83ac520504fa6792d8c1e5296b6',1,'arm_compute::CLSymbols']]],
+  ['clfusebatchnormalizationconvfixture_3c_20half_20_3e',['CLFuseBatchNormalizationConvFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#aac4962f616d744e52fc658bdf84ad112',1,'arm_compute::test::validation']]],
+  ['clfusebatchnormalizationdwcfixture_3c_20float_20_3e',['CLFuseBatchNormalizationDWCFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a43714ad72459a94aeb1b9a3e426a6ae7',1,'arm_compute::test::validation']]],
+  ['clfusebatchnormalizationdwcfixture_3c_20half_20_3e',['CLFuseBatchNormalizationDWCFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4bae990e7677040494ae8158c8847e92',1,'arm_compute::test::validation']]],
   ['clgatherfixture_3c_20float_20_3e',['CLGatherFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac99a665edea18225214806210640b0de',1,'arm_compute::test::validation']]],
   ['clgatherfixture_3c_20uint16_5ft_20_3e',['CLGatherFixture< uint16_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a613286ae289112c3a097b8a839fb1bc1',1,'arm_compute::test::validation']]],
   ['clgatherfixture_3c_20uint8_5ft_20_3e',['CLGatherFixture< uint8_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a02abc0dde7cc34397661399fea8e43ad',1,'arm_compute::test::validation']]],
   ['clgemmconvolutionlayerfixture_3c_20float_20_3e',['CLGEMMConvolutionLayerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f3dc00a54fa25a6e8d565b5c8b56ea0',1,'arm_compute::test::validation']]],
-  ['clgemmfixture_3c_20half_20_3e',['CLGEMMFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ab157e439f3926f37c01f323ea8715e',1,'arm_compute::test::validation']]],
   ['clgemmgroupedconvolutionlayerfixture_3c_20half_20_3e',['CLGEMMGroupedConvolutionLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#adda980a6f6ff459cb9b0a1720cd8fbe8',1,'arm_compute::test::validation']]],
   ['clgemminputoutput3dfixture_3c_20half_20_3e',['CLGEMMInputOutput3DFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#af37f99d9d7c03d65a5d57545b30f254e',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplynativefixture_3c_20half_20_3e',['CLGEMMMatrixMultiplyNativeFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a41cb6d520b4fe32455ec280e25d15bdc',1,'arm_compute::test::validation']]],
   ['clgemmmatrixmultiplyreshapedfixture_3c_20half_20_3e',['CLGEMMMatrixMultiplyReshapedFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a28fa6d5e29c077ffe9ea832d28db32d6',1,'arm_compute::test::validation']]],
-  ['clgemmmatrixmultiplyreshapedonlyrhsfixture_3c_20half_20_3e',['CLGEMMMatrixMultiplyReshapedOnlyRHSFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7f4ef4d4608046d835a2bdf829b45054',1,'arm_compute::test::validation']]],
   ['clgemmoutput3dfixture_3c_20float_20_3e',['CLGEMMOutput3DFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f88e4be563eecf18673c5a3d2022983',1,'arm_compute::test::validation']]],
   ['clgemmoutput3dfixture_3c_20half_20_3e',['CLGEMMOutput3DFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a97ed53b7dcef1a0632bcb19c6543b565',1,'arm_compute::test::validation']]],
   ['clgemmreshapelhsmatrix3dfixture_3c_20char_20_3e',['CLGEMMReshapeLHSMatrix3DFixture< char >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f75ceb7e31f376cf7045e808e2dda9f',1,'arm_compute::test::validation']]],
@@ -85,15 +94,19 @@
   ['clgetprograminfo_5fptr',['clGetProgramInfo_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a38787d16b9a4ccb79f11c9e807b31f39',1,'arm_compute::CLSymbols']]],
   ['climportmemoryarm_5fptr',['clImportMemoryARM_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#ac85382870c183f26f792e183ee80e38c',1,'arm_compute::CLSymbols']]],
   ['cll2normalizelayerfixture_3c_20half_20_3e',['CLL2NormalizeLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1deaf35286ff5180764d217831b6c424',1,'arm_compute::test::validation']]],
+  ['clloglayerfixture_3c_20float_20_3e',['CLLogLayerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a53faea801bc59c21dea60a9fdfd9f868',1,'arm_compute::test::validation']]],
   ['cllstmlayerfixture_3c_20half_20_3e',['CLLSTMLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5550422830bbd7b8b38e9df1cfc7e157',1,'arm_compute::test::validation']]],
   ['clmagnitudefixture_3c_20int32_5ft_20_3e',['CLMagnitudeFixture< int32_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5930d371f84eb0c18798b1fdf2881e60',1,'arm_compute::test::validation']]],
   ['clmeanstddevfixture_3c_20float_20_3e',['CLMeanStdDevFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c9fcdc70ffb87e0f4b44ecf99a341c4',1,'arm_compute::test::validation']]],
   ['clmeanstddevfixture_3c_20half_20_3e',['CLMeanStdDevFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#af4daef0996ee4fae0f7e619d510f2760',1,'arm_compute::test::validation']]],
+  ['clmeanstddevnormalizationlayerfixture_3c_20float_20_3e',['CLMeanStdDevNormalizationLayerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#abbb104d6d6759ba20b029ee664d0236e',1,'arm_compute::test::validation']]],
+  ['clneglayerfixture_3c_20float_20_3e',['CLNegLayerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b02e80600c7d4563aa058a0eeeb5102',1,'arm_compute::test::validation']]],
   ['clnormalizationlayerfixture_3c_20float_20_3e',['CLNormalizationLayerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a129a1e26d5a015161e1a1affcbad0e55',1,'arm_compute::test::validation']]],
   ['clpaddingfixture_3c_20half_20_3e',['CLPaddingFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9a76a99dc39bd0f4667e7475688d049a',1,'arm_compute::test::validation']]],
   ['clpaddingfixture_3c_20uint8_5ft_20_3e',['CLPaddingFixture< uint8_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad01b9f5c965972a9cf0917cf7abe7a83',1,'arm_compute::test::validation']]],
   ['clphasefixture_3c_20int32_5ft_20_3e',['CLPhaseFixture< int32_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a82d55a0ca3dd9f8dd5613dab35e50b10',1,'arm_compute::test::validation']]],
   ['clpixelwisemultiplicationbroadcastfixture_3c_20float_20_3e',['CLPixelWiseMultiplicationBroadcastFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e75bd77bb0651928ec6c635c0e2612d',1,'arm_compute::test::validation']]],
+  ['clpixelwisemultiplicationquantizedfixture_3c_20int16_5ft_20_3e',['CLPixelWiseMultiplicationQuantizedFixture< int16_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2beab5ff5a1c02704f6d9869804f6a5',1,'arm_compute::test::validation']]],
   ['clpixelwisemultiplicationtof32fixture_3c_20float_20_3e',['CLPixelWiseMultiplicationToF32Fixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7358bbca9e5c79b0b9f8c336fd38c5a1',1,'arm_compute::test::validation']]],
   ['clpoolinglayerfixture_3c_20half_20_3e',['CLPoolingLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a563e036c5c2976f911c0f33d91f328ec',1,'arm_compute::test::validation']]],
   ['clquantizationlayerfixture_3c_20half_20_3e',['CLQuantizationLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2059305e61bbc7aa4bea5ca0cb463fec',1,'arm_compute::test::validation']]],
@@ -120,13 +133,16 @@
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index b8ee27e..0086acd 100644
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index b6c6635..bed1a91 100644
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index 3d92e95..0e308f4 100644
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--- a/documentation/search/variables_b.js
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--- a/documentation/search/variables_d.js
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index 8eda414..775d64e 100644
--- a/documentation/search/variables_e.js
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