arm_compute v19.11
diff --git a/documentation/search/functions_12.js b/documentation/search/functions_12.js
index fdf0502..2bf3119 100644
--- a/documentation/search/functions_12.js
+++ b/documentation/search/functions_12.js
@@ -1,252 +1,106 @@
var searchData=
[
- ['safe_5fread',['safe_read',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a590054c13a2fe6eddcb35bbe11129a9d',1,'arm_compute::test::validation::reference']]],
- ['sampling_5fratio',['sampling_ratio',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml#afbc0a0e37966224f004d4525b1cf012f',1,'arm_compute::ROIPoolingLayerInfo']]],
- ['saturate_5fcast',['saturate_cast',['../namespacearm__compute_1_1utils_1_1cast.xhtml#aff2fdac1ef048c4a668437d172fa6b1a',1,'arm_compute::utils::cast::saturate_cast(U v)'],['../namespacearm__compute_1_1utils_1_1cast.xhtml#abbc0dfec475206b9c62d87e7405d87ee',1,'arm_compute::utils::cast::saturate_cast(U v)'],['../namespacearm__compute_1_1test.xhtml#a4965b2f6821e0cf0afee738158bd8377',1,'arm_compute::test::saturate_cast()']]],
- ['save_5fbinary',['save_binary',['../classarm__compute_1_1_g_c_kernel_library.xhtml#a7c0b2aa80e920344936e8e7dbaa73e43',1,'arm_compute::GCKernelLibrary']]],
- ['save_5fprogram_5fcache_5fto_5ffile',['save_program_cache_to_file',['../namespacearm__compute_1_1utils.xhtml#a667b4012e6d9b8c07876c7ff5da9f68d',1,'arm_compute::utils']]],
- ['save_5fto_5ffile',['save_to_file',['../classarm__compute_1_1_c_l_tuner.xhtml#a6bc110abab391dca6a6b0e977892020c',1,'arm_compute::CLTuner']]],
- ['save_5fto_5fnpy',['save_to_npy',['../namespacearm__compute_1_1utils.xhtml#a48c0efb64637ab6e965b32d7c683efe9',1,'arm_compute::utils']]],
- ['save_5fto_5fppm',['save_to_ppm',['../namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08',1,'arm_compute::utils']]],
- ['savenumpyaccessor',['SaveNumPyAccessor',['../classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml#a33469b1a330d6553d12c0de0c2d8ab6d',1,'arm_compute::graph_utils::SaveNumPyAccessor::SaveNumPyAccessor(const std::string npy_name, const bool is_fortran=false)'],['../classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml#a6134d1f4828144431241a63df96465df',1,'arm_compute::graph_utils::SaveNumPyAccessor::SaveNumPyAccessor(SaveNumPyAccessor &&)=default'],['../classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml#ac1b26bb1ff04ae3634b6a278033dbc4e',1,'arm_compute::graph_utils::SaveNumPyAccessor::SaveNumPyAccessor(const SaveNumPyAccessor &)=delete']]],
- ['scale',['scale',['../classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea',1,'arm_compute::PyramidInfo::scale()'],['../classarm__compute_1_1_quantization_info.xhtml#af21c7fddee28e9aa0a37c633300db0e0',1,'arm_compute::QuantizationInfo::scale()'],['../classarm__compute_1_1_bounding_box_transform_info.xhtml#ade87abafbd6b200b22de988f32b66dea',1,'arm_compute::BoundingBoxTransformInfo::scale()'],['../classarm__compute_1_1_window.xhtml#a5e8e5ab06329702df09ab7eb07e9b84d',1,'arm_compute::Window::scale()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6d1214c8e51d5c216c257b8c1ce14525',1,'arm_compute::test::validation::reference::scale(const SimpleTensor< T > &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, T constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab5d62ae2ebf51dcab81a1b15781faebc',1,'arm_compute::test::validation::reference::scale(const SimpleTensor< uint8_t > &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a507aed1b65b543eae5adafff1f2b8965',1,'arm_compute::test::validation::reference::scale(const SimpleTensor< int16_t > &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, int16_t constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a19c2e3dbf2874675782c224032106d80',1,'arm_compute::test::validation::reference::scale(const SimpleTensor< half > &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, half constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab5ae0844c074ff20b13924b7f145d4e2',1,'arm_compute::test::validation::reference::scale(const SimpleTensor< float > &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, float constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)']]],
- ['scale_5fbilinear_5fnchw',['scale_bilinear_nchw',['../scale_8cl.xhtml#a8721515bc3a5bd5c2c07c71680836989',1,'scale.cl']]],
- ['scale_5fbilinear_5fquantized_5fnchw',['scale_bilinear_quantized_nchw',['../scale__quantized_8cl.xhtml#a157d3c35f643dafe1c4bed09594f3bb5',1,'scale_quantized.cl']]],
- ['scale_5fcoeff',['scale_coeff',['../classarm__compute_1_1_normalization_layer_info.xhtml#a7a6d5f8b1f761ea40f7f1072642be9e5',1,'arm_compute::NormalizationLayerInfo']]],
- ['scale_5fcore',['scale_core',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa390c8750cce2de4fd49d7a3d9e6ba5c',1,'arm_compute::test::validation::reference']]],
- ['scale_5fnearest_5fneighbour_5fnchw',['scale_nearest_neighbour_nchw',['../scale_8cl.xhtml#ab0d36306b50e1c7961dfa9337d73ecbb',1,'scale.cl']]],
- ['scale_5fvalue_5fh',['scale_value_h',['../classarm__compute_1_1_detection_post_process_layer_info.xhtml#a9db6ab0530ca15abab491a354bea90dc',1,'arm_compute::DetectionPostProcessLayerInfo']]],
- ['scale_5fvalue_5fw',['scale_value_w',['../classarm__compute_1_1_detection_post_process_layer_info.xhtml#a0c255b6748d3a249c9c4d8f691994dba',1,'arm_compute::DetectionPostProcessLayerInfo']]],
- ['scale_5fvalue_5fx',['scale_value_x',['../classarm__compute_1_1_detection_post_process_layer_info.xhtml#a3dadbc544718b54f1737d4f24c078ad4',1,'arm_compute::DetectionPostProcessLayerInfo']]],
- ['scale_5fvalue_5fy',['scale_value_y',['../classarm__compute_1_1_detection_post_process_layer_info.xhtml#aee7a73260f91fe8eedce52929fa829eb',1,'arm_compute::DetectionPostProcessLayerInfo']]],
- ['scaled_5fdimensions',['scaled_dimensions',['../namespacearm__compute.xhtml#abbe3399a66c35c3c353030cd0a84c936',1,'arm_compute']]],
- ['scalelayer',['ScaleLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_scale_layer.xhtml#abd50a915acafa4ed21f755d911f9b155',1,'arm_compute::graph::frontend::ScaleLayer']]],
- ['scaling_5ffactor',['scaling_factor',['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a8b993170e17d6ef4714e6c7a7e779027',1,'arm_compute::graph::ResizeLayerNode']]],
- ['scharr',['scharr',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4578c34605a48d4b85ec0d0e6ab4b530',1,'arm_compute::test::validation::reference::scharr(const SimpleTensor< U > &src, int filter_size, BorderMode border_mode, uint8_t constant_border_value, GradientDimension gradient_dimension)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a206eea7bc9a9c8b98cd4a6e7f6d0a8be',1,'arm_compute::test::validation::reference::scharr(const SimpleTensor< uint8_t > &src, int filter_size, BorderMode border_mode, uint8_t constant_border_value, GradientDimension gradient_dimension)']]],
- ['scharr3x3',['scharr3x3',['../scharr__filter_8cl.xhtml#a7cc764a3a8a92f986344e05cfb1fe75a',1,'scharr_filter.cl']]],
- ['schedule',['schedule',['../classarm__compute_1_1_c_p_p_scheduler.xhtml#a8d6828523921b7f9313f64c48550617f',1,'arm_compute::CPPScheduler::schedule()'],['../classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842',1,'arm_compute::IScheduler::schedule()'],['../classarm__compute_1_1_o_m_p_scheduler.xhtml#a8d6828523921b7f9313f64c48550617f',1,'arm_compute::OMPScheduler::schedule()'],['../classarm__compute_1_1_single_thread_scheduler.xhtml#a8d6828523921b7f9313f64c48550617f',1,'arm_compute::SingleThreadScheduler::schedule()']]],
- ['schedulerclock',['SchedulerClock',['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a71e1ffcc1aad7de2a9a44276ca2fcbd1',1,'arm_compute::test::framework::SchedulerClock::SchedulerClock(ScaleFactor scale_factor)'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a60f8503bc8d7098d6910eede9431e5fb',1,'arm_compute::test::framework::SchedulerClock::SchedulerClock(const SchedulerClock &)=delete'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#ab9b3b08af501bf45c825a5440a327858',1,'arm_compute::test::framework::SchedulerClock::SchedulerClock(SchedulerClock &&)=default']]],
- ['score_5fthresh',['score_thresh',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a535a6f56c148f286729fad7749a58e9b',1,'arm_compute::BoxNMSLimitInfo']]],
- ['seed',['seed',['../classarm__compute_1_1test_1_1_assets_library.xhtml#a0a20fa200643e1e3aa4004375d9188f1',1,'arm_compute::test::AssetsLibrary']]],
- ['select',['select',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a27e22718d532b621774aca14ce8b1101',1,'arm_compute::test::validation::reference::select(const SimpleTensor< uint8_t > &c, const SimpleTensor< T > &x, const SimpleTensor< T > &y)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0331e853139eaf23282e0ca0a53b90b8',1,'arm_compute::test::validation::reference::select(const SimpleTensor< uint8_t > &c, const SimpleTensor< uint8_t > &x, const SimpleTensor< uint8_t > &y)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a95fd10c561d7b438f46d34441ac4c494',1,'arm_compute::test::validation::reference::select(const SimpleTensor< uint8_t > &c, const SimpleTensor< half > &x, const SimpleTensor< half > &y)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6d2d7deaeaac223161f2a13d155b58f7',1,'arm_compute::test::validation::reference::select(const SimpleTensor< uint8_t > &c, const SimpleTensor< float > &x, const SimpleTensor< float > &y)']]],
- ['semaphore',['Semaphore',['../classarm__compute_1_1_semaphore.xhtml#a5d450aa70997a73d56a0400cee4e539d',1,'arm_compute::Semaphore']]],
- ['separate_5fmatrix',['separate_matrix',['../namespacearm__compute.xhtml#a18ec57dffc5c26864be77318111dfb2a',1,'arm_compute']]],
- ['set',['set',['../classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27',1,'arm_compute::Dimensions::set()'],['../classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad',1,'arm_compute::TensorShape::set()'],['../structarm__compute_1_1_valid_region.xhtml#ae658e258947a14e0d45975c531e03540',1,'arm_compute::ValidRegion::set()'],['../classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e',1,'arm_compute::Window::set()'],['../classarm__compute_1_1_scheduler.xhtml#ad2fc671b2772dd9e28b81cf0e2514e85',1,'arm_compute::Scheduler::set(std::shared_ptr< IScheduler > scheduler)'],['../classarm__compute_1_1_scheduler.xhtml#a9792282edd343320061f7acac8e04e4b',1,'arm_compute::Scheduler::set(Type t)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ec8dd7ea96aec0e4068497f0b5e17b2',1,'arm_compute::test::validation::set(0, output_wh.first)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed07e7831fc7c46e050d22ec0063860e',1,'arm_compute::test::validation::set(1, output_wh.second)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8dec1215118d13d1e8d55e38d0010a6e',1,'arm_compute::test::validation::set(2, shape_w[3])'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaf15c7b340fc6089b412092dc8450f08',1,'arm_compute::test::validation::set(dimension, 10)']]],
- ['set_5faccess_5foffset',['set_access_offset',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a8a17e32f289144bcb2040eaa31d149f0',1,'arm_compute::test::PaddingCalculator::set_access_offset()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab306b4db66afa5d062617ebf70cb6c62',1,'arm_compute::test::validation::set_access_offset(-2)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a25638bd9e4ad41227394df07f79da831',1,'arm_compute::test::validation::set_access_offset(-(filter_width/2))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a114d451ec0195556af0997ba5d8bdb18',1,'arm_compute::test::validation::set_access_offset(-(filter_height/2))']]],
- ['set_5faccessed_5felements',['set_accessed_elements',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a4456c6014ddd23c0a45573589a535183',1,'arm_compute::test::PaddingCalculator::set_accessed_elements()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac613cfb8cf4e990c42e0e7ef57bf6fad',1,'arm_compute::test::validation::set_accessed_elements()']]],
- ['set_5faccessor',['set_accessor',['../classarm__compute_1_1graph_1_1_tensor.xhtml#a7ca865118188dd8c307ae9e84f8a75f6',1,'arm_compute::graph::Tensor']]],
- ['set_5fargument',['set_argument',['../classarm__compute_1_1_g_c_kernel.xhtml#ad5cfd50c152f0aa984f53bb034d1461b',1,'arm_compute::GCKernel']]],
- ['set_5farrays',['set_arrays',['../classarm__gemm_1_1_gemv_batched.xhtml#a2f51067424ad17181061558494fed662',1,'arm_gemm::GemvBatched::set_arrays()'],['../classarm__gemm_1_1_quantize_wrapper.xhtml#a2f51067424ad17181061558494fed662',1,'arm_gemm::QuantizeWrapper::set_arrays()']]],
- ['set_5fassigned_5ftarget',['set_assigned_target',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a7069f1901ff50cd2ac6ba152cb106058',1,'arm_compute::graph::INode']]],
- ['set_5fassociated_5fmemory_5fgroup',['set_associated_memory_group',['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#ae1746928cddc235a148f11132f0fa8f2',1,'arm_compute::CLTensorAllocator::set_associated_memory_group()'],['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#a341a791505d0893631984f1c01b6568c',1,'arm_compute::GCTensorAllocator::set_associated_memory_group()'],['../classarm__compute_1_1_tensor_allocator.xhtml#a89ee265e94df4e8aaf4f465649d4e065',1,'arm_compute::TensorAllocator::set_associated_memory_group()']]],
- ['set_5fborder_5fmode',['set_border_mode',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a9926bc2129fe1ad070b6f225873ccfac',1,'arm_compute::test::PaddingCalculator::set_border_mode()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97f70c1390d9c076f79253311bc1c929',1,'arm_compute::test::validation::set_border_mode()']]],
- ['set_5fborder_5fsize',['set_border_size',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#aacfa81e91a8e77c44b1221606374f8b1',1,'arm_compute::test::PaddingCalculator::set_border_size()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abcfccf084ad91a392cf08d5ff43df58b',1,'arm_compute::test::validation::set_border_size(2)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97a9454a2282b20529391755a0b5c41a',1,'arm_compute::test::validation::set_border_size(3)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3962439d4d00a39d9efcfb29278b48f1',1,'arm_compute::test::validation::set_border_size(4)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae364968da28604884452ee304580304',1,'arm_compute::test::validation::set_border_size(filter_width/2)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a32a18ff5b6cbd573dc608b1f56991cce',1,'arm_compute::test::validation::set_border_size(filter_height/2)']]],
- ['set_5fcifg_5fparams',['set_cifg_params',['../classarm__compute_1_1_l_s_t_m_params.xhtml#adac8095c0cd29d443206dfcaf67f3607',1,'arm_compute::LSTMParams']]],
- ['set_5fcl_5fkernel_5fevent',['set_cl_kernel_event',['../classarm__compute_1_1_c_l_tuner.xhtml#a7937dca7876064401bb14b4443bf5d8d',1,'arm_compute::CLTuner']]],
- ['set_5fcolor_5foutput',['set_color_output',['../classarm__compute_1_1test_1_1framework_1_1_pretty_printer.xhtml#afcf598578056fcc9e9ed8916b68e28a2',1,'arm_compute::test::framework::PrettyPrinter']]],
- ['set_5fcommon_5fnode_5fparameters',['set_common_node_parameters',['../classarm__compute_1_1graph_1_1_i_node.xhtml#aeadb909ea02bec78f92ca35ff0ccbaea',1,'arm_compute::graph::INode']]],
- ['set_5fconfig',['set_config',['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a22acc02bd87a26f9a08eb821bb35e75f',1,'arm_compute::graph::GraphContext']]],
- ['set_5fconstant_5fborder',['set_constant_border',['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#ac56c459beac7a6b904b6dece97b377e6',1,'arm_compute::CLFillBorderKernel::set_constant_border()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#ac56c459beac7a6b904b6dece97b377e6',1,'arm_compute::GCFillBorderKernel::set_constant_border()']]],
- ['set_5fcontext',['set_context',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a293edc1bbcbddffb7228ac97917ed107',1,'arm_compute::CLKernelLibrary::set_context()'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#adad9a34e26a1a1b6574057981a1f7bb3',1,'arm_compute::GCKernelLibrary::set_context()'],['../classarm__compute_1_1_c_l_scheduler.xhtml#a293edc1bbcbddffb7228ac97917ed107',1,'arm_compute::CLScheduler::set_context()']]],
- ['set_5fconvolution_5fmethod',['set_convolution_method',['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a9d809efcf3df31392abc965f2cc3bae6',1,'arm_compute::graph::ConvolutionLayerNode::set_convolution_method()'],['../classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml#a9d809efcf3df31392abc965f2cc3bae6',1,'arm_compute::graph::FusedConvolutionBatchNormalizationNode::set_convolution_method()'],['../classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a9d809efcf3df31392abc965f2cc3bae6',1,'arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::set_convolution_method()']]],
- ['set_5fcpu_5fmodel',['set_cpu_model',['../classarm__compute_1_1_c_p_u_info.xhtml#acb24f7c57aaeee1da27db2b4b52434ee',1,'arm_compute::CPUInfo']]],
- ['set_5fcpu_5fnum',['set_cpu_num',['../classarm__compute_1_1_c_p_u_info.xhtml#aba3b726afdf36bdcd7496e1bfb523e71',1,'arm_compute::CPUInfo']]],
- ['set_5fdata_5flayout',['set_data_layout',['../classarm__compute_1_1_i_tensor_info.xhtml#abb9481fe056b9749f9b4c08db101cc15',1,'arm_compute::ITensorInfo::set_data_layout()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a16d275e5270f2c36a04764c863d852b6',1,'arm_compute::SubTensorInfo::set_data_layout()'],['../classarm__compute_1_1_tensor_info.xhtml#a70b6e1495b94818cce4981dbac6bdd66',1,'arm_compute::TensorInfo::set_data_layout()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae59cb3ec4cae7835d0a0283be56ef789',1,'arm_compute::test::validation::set_data_layout()']]],
- ['set_5fdata_5flayout_5fif_5funknown',['set_data_layout_if_unknown',['../namespacearm__compute.xhtml#aafd98bfd4651f36d691ddd2631a6e5a0',1,'arm_compute']]],
- ['set_5fdata_5ftype',['set_data_type',['../classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de',1,'arm_compute::ITensorInfo::set_data_type()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a613528bd0feb15ee8d6df06cbdb629f8',1,'arm_compute::SubTensorInfo::set_data_type()'],['../classarm__compute_1_1_tensor_info.xhtml#a0a9053e6c4729ac5201b58068050c319',1,'arm_compute::TensorInfo::set_data_type()'],['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a152c3cb67ac2ffb1d965073fc145493b',1,'arm_compute::graph::TensorDescriptor::set_data_type()']]],
- ['set_5fdata_5ftype_5fif_5funknown',['set_data_type_if_unknown',['../namespacearm__compute.xhtml#ad19446be52c2c162fa678b9ae236f445',1,'arm_compute']]],
- ['set_5fdepthwise_5fconvolution_5fmethod',['set_depthwise_convolution_method',['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#af5320f5c3406e2263ed1a412c59d18c5',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::set_depthwise_convolution_method()'],['../classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#af5320f5c3406e2263ed1a412c59d18c5',1,'arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::set_depthwise_convolution_method()']]],
- ['set_5fdevice',['set_device',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a5a6865d04c8d3348860f3cb8100fdb97',1,'arm_compute::CLKernelLibrary']]],
- ['set_5fdimension_5fstep',['set_dimension_step',['../classarm__compute_1_1_window.xhtml#a55ed4ad2395fd25ba847cbf6c54b85e4',1,'arm_compute::Window']]],
- ['set_5fdotprod',['set_dotprod',['../classarm__compute_1_1_c_p_u_info.xhtml#a6d2db590ac4d869e8feb648beb80fcea',1,'arm_compute::CPUInfo']]],
- ['set_5fenabled',['set_enabled',['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a27c3d7d9b1aa3789551262c22861b42f',1,'arm_compute::graph::ConcatenateLayerNode']]],
- ['set_5fend',['set_end',['../classarm__compute_1_1_window_1_1_dimension.xhtml#ad04b3b858cfdad2a7c64a6a014c3b773',1,'arm_compute::Window::Dimension']]],
- ['set_5ferror_5fon_5fmissing_5fassets',['set_error_on_missing_assets',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a46a0cefc3b9a13645548ec705f438ce9',1,'arm_compute::test::framework::Framework']]],
- ['set_5ffast_5fmath_5fhint',['set_fast_math_hint',['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a82ca2fe256cf9c4c201b74510d41852c',1,'arm_compute::graph::ConvolutionLayerNode::set_fast_math_hint()'],['../classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml#a82ca2fe256cf9c4c201b74510d41852c',1,'arm_compute::graph::FusedConvolutionBatchNormalizationNode::set_fast_math_hint()']]],
- ['set_5fformat',['set_format',['../classarm__compute_1_1_i_tensor_info.xhtml#a17394f0f7aea22d9b2d4c6f33bfa69ca',1,'arm_compute::ITensorInfo::set_format()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#af501bc12f51874e786b0f28016a99ff7',1,'arm_compute::SubTensorInfo::set_format()'],['../classarm__compute_1_1_tensor_info.xhtml#a523a68398c1a8161daa4238c15e065fa',1,'arm_compute::TensorInfo::set_format()']]],
- ['set_5fformat_5fif_5funknown',['set_format_if_unknown',['../namespacearm__compute.xhtml#a8076ba239b6681067b6cfea7f773a39f',1,'arm_compute']]],
- ['set_5ffp16',['set_fp16',['../classarm__compute_1_1_c_p_u_info.xhtml#a6dfc7d658828318e6c54988913c22ec7',1,'arm_compute::CPUInfo']]],
- ['set_5ffused_5factivation',['set_fused_activation',['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a8f9c3ed345d401dc02c5a8f34b284a33',1,'arm_compute::graph::BatchNormalizationLayerNode::set_fused_activation()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a8f9c3ed345d401dc02c5a8f34b284a33',1,'arm_compute::graph::ConvolutionLayerNode::set_fused_activation()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a8f9c3ed345d401dc02c5a8f34b284a33',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::set_fused_activation()'],['../classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml#a8f9c3ed345d401dc02c5a8f34b284a33',1,'arm_compute::graph::FusedConvolutionBatchNormalizationNode::set_fused_activation()'],['../classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a8f9c3ed345d401dc02c5a8f34b284a33',1,'arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::set_fused_activation()']]],
- ['set_5fgraph',['set_graph',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a3ace781433ede299fb1dc8d0b02667b9',1,'arm_compute::graph::INode']]],
- ['set_5fhandle',['set_handle',['../classarm__compute_1_1graph_1_1_tensor.xhtml#a8c1a8dc99f338372d7dc6dd33672ec03',1,'arm_compute::graph::Tensor']]],
- ['set_5fhelp',['set_help',['../classarm__compute_1_1utils_1_1_option.xhtml#a48a2672f362eeed9a3e93403f4d3de37',1,'arm_compute::utils::Option']]],
- ['set_5fid',['set_id',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a483b76accbb02199c359bd5cf23dd476',1,'arm_compute::graph::INode']]],
- ['set_5fis_5fresizable',['set_is_resizable',['../classarm__compute_1_1_i_tensor_info.xhtml#a9273842d8e5dc1a3c7fab727176fd7fe',1,'arm_compute::ITensorInfo::set_is_resizable()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a78bf77b2d9b959259f77a32b9a412184',1,'arm_compute::SubTensorInfo::set_is_resizable()'],['../classarm__compute_1_1_tensor_info.xhtml#a78bf77b2d9b959259f77a32b9a412184',1,'arm_compute::TensorInfo::set_is_resizable()']]],
- ['set_5fkernel_5fpath',['set_kernel_path',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a66a558a56f5d0dcd6305c405ebc38cc2',1,'arm_compute::CLKernelLibrary']]],
- ['set_5fkernel_5ftuning',['set_kernel_tuning',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#a96e32e9d96b05d238f46be2e90d0e60b',1,'arm_compute::graph::backends::CLDeviceBackend']]],
- ['set_5fkernel_5ftuning_5fmode',['set_kernel_tuning_mode',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#a3d7becfb1d12f49d38942b88845421ec',1,'arm_compute::graph::backends::CLDeviceBackend']]],
- ['set_5fl1_5fcache_5fsize',['set_L1_cache_size',['../classarm__compute_1_1_c_p_u_info.xhtml#a3a3b116920c82d5047b3928f5ddfb7cf',1,'arm_compute::CPUInfo']]],
- ['set_5fl2_5fcache_5fsize',['set_L2_cache_size',['../classarm__compute_1_1_c_p_u_info.xhtml#aacee1df94b722ce49632be47b6578b3d',1,'arm_compute::CPUInfo']]],
- ['set_5flayer_5fnormalization_5fparams',['set_layer_normalization_params',['../classarm__compute_1_1_l_s_t_m_params.xhtml#ae1c18c245c7b01f45fe8f911201c273a',1,'arm_compute::LSTMParams']]],
- ['set_5flayout',['set_layout',['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2497d23622ec1343e507331ae1388f00',1,'arm_compute::graph::TensorDescriptor']]],
- ['set_5flog_5flevel',['set_log_level',['../classarm__compute_1_1logging_1_1_logger.xhtml#a41691397975dfad51e3a2f6b55aef749',1,'arm_compute::logging::Logger']]],
- ['set_5flws_5fhint',['set_lws_hint',['../classarm__compute_1_1_i_c_l_kernel.xhtml#ad356b88c8f61267d593d9ed99835bde9',1,'arm_compute::ICLKernel::set_lws_hint()'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#a3c6173aecfebc9030bf8a0bee0c0ced8',1,'arm_compute::IGCKernel::set_lws_hint()']]],
- ['set_5fname',['set_name',['../classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#af664a2598e05f8de28fb9f94e3902886',1,'arm_compute::graph::frontend::ILayer']]],
- ['set_5fneeds_5fshifting',['set_needs_shifting',['../classarm__compute_1_1_i_g_c_tensor.xhtml#a69cfba8177b402abe134fdad5fe4c7dc',1,'arm_compute::IGCTensor']]],
- ['set_5fnthreads',['set_nthreads',['../classarm__gemm_1_1barrier.xhtml#ad74688f775864e33d4b751cc1317beec',1,'arm_gemm::barrier::set_nthreads()'],['../classarm__gemm_1_1_buffer_manager.xhtml#abe8297b7d4cf647e06eff027982cbb8e',1,'arm_gemm::BufferManager::set_nthreads()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#a468e9c50d4decc2ba86f9bd393ba27d6',1,'arm_gemm::GemmInterleaved::set_nthreads()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a468e9c50d4decc2ba86f9bd393ba27d6',1,'arm_gemm::GemvBatched::set_nthreads()'],['../classarm__gemm_1_1_quantize_wrapper.xhtml#a468e9c50d4decc2ba86f9bd393ba27d6',1,'arm_gemm::QuantizeWrapper::set_nthreads()']]],
- ['set_5fnum_5fchannels',['set_num_channels',['../classarm__compute_1_1_i_tensor_info.xhtml#aaf74be25e2392705f29352ffaa4b1f9d',1,'arm_compute::ITensorInfo::set_num_channels()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a5b0a9fd674f8748506b6944c030bc47e',1,'arm_compute::SubTensorInfo::set_num_channels()'],['../classarm__compute_1_1_tensor_info.xhtml#ad03af3eeb6f3666d6282ca689c1b2ce8',1,'arm_compute::TensorInfo::set_num_channels()']]],
- ['set_5fnum_5fdimensions',['set_num_dimensions',['../classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b',1,'arm_compute::Dimensions']]],
- ['set_5fnum_5fiterations',['set_num_iterations',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ae0b69f2142100651d022d5af576f42cf',1,'arm_compute::test::framework::Framework']]],
- ['set_5fnum_5fthreads',['set_num_threads',['../classarm__compute_1_1_c_p_p_scheduler.xhtml#ae64eebaa07f4d2da6cc2ba538c3cb095',1,'arm_compute::CPPScheduler::set_num_threads()'],['../classarm__compute_1_1_i_scheduler.xhtml#a645ac2d9d4144fd0174296de7eb1e1b5',1,'arm_compute::IScheduler::set_num_threads()'],['../classarm__compute_1_1_o_m_p_scheduler.xhtml#ae64eebaa07f4d2da6cc2ba538c3cb095',1,'arm_compute::OMPScheduler::set_num_threads()'],['../classarm__compute_1_1_single_thread_scheduler.xhtml#ae64eebaa07f4d2da6cc2ba538c3cb095',1,'arm_compute::SingleThreadScheduler::set_num_threads()']]],
- ['set_5fnumusers',['set_numusers',['../classarm__gemm_1_1_buffer.xhtml#a08fb4ce7c28f1785d47bad7b5a4b87a3',1,'arm_gemm::Buffer']]],
- ['set_5foutput_5ftensor',['set_output_tensor',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a09dab02145c91bb9be20fe98cbedc300',1,'arm_compute::graph::INode']]],
- ['set_5fowned_5fregion',['set_owned_region',['../classarm__compute_1_1_c_l_memory.xhtml#af2d30bc4b38a0f4703ff154a39f1b422',1,'arm_compute::CLMemory::set_owned_region()'],['../classarm__compute_1_1_g_c_memory.xhtml#af2d30bc4b38a0f4703ff154a39f1b422',1,'arm_compute::GCMemory::set_owned_region()'],['../classarm__compute_1_1_i_memory.xhtml#aa00bd341767c1945c2f16d8056143f2c',1,'arm_compute::IMemory::set_owned_region()'],['../classarm__compute_1_1_memory.xhtml#af2d30bc4b38a0f4703ff154a39f1b422',1,'arm_compute::Memory::set_owned_region()']]],
- ['set_5fpeephole_5fparams',['set_peephole_params',['../classarm__compute_1_1_l_s_t_m_params.xhtml#a28c80440058d5c9b0bc1e1a4622c734a',1,'arm_compute::LSTMParams']]],
- ['set_5fpolicy',['set_policy',['../classarm__compute_1_1_m_e_m_info.xhtml#a1609b8101beb35633a19f845d22323a8',1,'arm_compute::MEMInfo']]],
- ['set_5fpretranpose_5fb',['set_pretranpose_B',['../classarm__compute_1_1_g_e_m_m_info.xhtml#adfd4c40b75cbb4b1b2b2c2bac0051891',1,'arm_compute::GEMMInfo']]],
- ['set_5fpretransposed_5fb_5fdata',['set_pretransposed_B_data',['../classarm__gemm_1_1_gemm_hybrid.xhtml#a6e76d099f51fc0ef7f48dbd7d00214ac',1,'arm_gemm::GemmHybrid::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemm_hybrid_quantized.xhtml#a6e76d099f51fc0ef7f48dbd7d00214ac',1,'arm_gemm::GemmHybridQuantized::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#a6e76d099f51fc0ef7f48dbd7d00214ac',1,'arm_gemm::GemmInterleaved::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a27df64c6276eb144594c5d37d1110b20',1,'arm_gemm::GemvBatched::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a27df64c6276eb144594c5d37d1110b20',1,'arm_gemm::GemvPretransposed::set_pretransposed_B_data()'],['../classarm__gemm_1_1_quantize_wrapper.xhtml#a27df64c6276eb144594c5d37d1110b20',1,'arm_gemm::QuantizeWrapper::set_pretransposed_B_data()']]],
- ['set_5fprocessed_5felements',['set_processed_elements',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a8c357fa4f24f5e2ad4d06b68687d5e9b',1,'arm_compute::test::PaddingCalculator']]],
- ['set_5fprojection_5fparams',['set_projection_params',['../classarm__compute_1_1_l_s_t_m_params.xhtml#aea777d30779bab2d14630ea7e8516615',1,'arm_compute::LSTMParams']]],
- ['set_5fquantization_5finfo',['set_quantization_info',['../classarm__compute_1_1_i_tensor_info.xhtml#a575d37eaf8a905c8ca3c0250757c2b81',1,'arm_compute::ITensorInfo::set_quantization_info()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#acda9036ad24c455f67f2fea388a0ae13',1,'arm_compute::SubTensorInfo::set_quantization_info()'],['../classarm__compute_1_1_tensor_info.xhtml#a78839e7861ba8ffed52ca55da2745761',1,'arm_compute::TensorInfo::set_quantization_info()'],['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#afe5692937b0558d4cffe2d4fee57d581',1,'arm_compute::graph::TensorDescriptor::set_quantization_info()']]],
- ['set_5fquantization_5finfo_5fif_5fempty',['set_quantization_info_if_empty',['../namespacearm__compute.xhtml#a75509469ec2689ec143f4a37bbcb4437',1,'arm_compute']]],
- ['set_5fquantized_5fbias',['set_quantized_bias',['../classarm__gemm_1_1_gemm_hybrid_quantized.xhtml#a4de4a3d351df9e6c82c93d0c51e00ef2',1,'arm_gemm::GemmHybridQuantized::set_quantized_bias()'],['../classarm__gemm_1_1_quantize_wrapper.xhtml#a4de4a3d351df9e6c82c93d0c51e00ef2',1,'arm_gemm::QuantizeWrapper::set_quantized_bias()']]],
- ['set_5fqueue',['set_queue',['../classarm__compute_1_1_c_l_scheduler.xhtml#a9608e5af9f3a199f69ca6aa41b94359a',1,'arm_compute::CLScheduler']]],
- ['set_5frange',['set_range',['../classarm__compute_1_1_i_distribution1_d.xhtml#a9027aed7fdb902ebc243647c8c3fbea2',1,'arm_compute::IDistribution1D']]],
- ['set_5fregion',['set_region',['../classarm__compute_1_1_c_l_memory.xhtml#a5e343ebd0fb1c7816e7abfee53d2578b',1,'arm_compute::CLMemory::set_region()'],['../classarm__compute_1_1_g_c_memory.xhtml#a5e343ebd0fb1c7816e7abfee53d2578b',1,'arm_compute::GCMemory::set_region()'],['../classarm__compute_1_1_i_memory.xhtml#a5f1239a904c50f8013ba163960605bce',1,'arm_compute::IMemory::set_region()'],['../classarm__compute_1_1_memory.xhtml#a5e343ebd0fb1c7816e7abfee53d2578b',1,'arm_compute::Memory::set_region()']]],
- ['set_5frequested_5ftarget',['set_requested_target',['../classarm__compute_1_1graph_1_1_i_node.xhtml#ab4d8c49b8b04fae8561238b8efb472f5',1,'arm_compute::graph::INode']]],
- ['set_5frequired',['set_required',['../classarm__compute_1_1utils_1_1_option.xhtml#a564afafa4220cd36afbe388fcd24549b',1,'arm_compute::utils::Option']]],
- ['set_5fshader_5fparams_5fbinding_5fpoint',['set_shader_params_binding_point',['../classarm__compute_1_1_g_c_kernel.xhtml#ae722344eb4eb8a404d600561914859ab',1,'arm_compute::GCKernel']]],
- ['set_5fshader_5fpath',['set_shader_path',['../classarm__compute_1_1_g_c_kernel_library.xhtml#a1d39c8fd9605c241b797dcbd9d3cc474',1,'arm_compute::GCKernelLibrary']]],
- ['set_5fshape',['set_shape',['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#aed9ab9561ef2d8636074063b88aee011',1,'arm_compute::graph::TensorDescriptor']]],
- ['set_5fshape_5fif_5fempty',['set_shape_if_empty',['../namespacearm__compute.xhtml#a9d1a839c51134b2ae171a2264c541b6f',1,'arm_compute']]],
- ['set_5fsize',['set_size',['../classarm__compute_1_1_i_memory_region.xhtml#ab5c159b7d0cdca9f543019f4f47ec288',1,'arm_compute::IMemoryRegion']]],
- ['set_5fsplit_5fdimension',['set_split_dimension',['../classarm__compute_1_1_i_scheduler_1_1_hints.xhtml#aa3f198c6c5870e2fff6b323f9933ae25',1,'arm_compute::IScheduler::Hints']]],
- ['set_5fstep',['set_step',['../classarm__compute_1_1_window_1_1_dimension.xhtml#aa84a724344a983832279fe13f047b52d',1,'arm_compute::Window::Dimension::set_step()'],['../classarm__compute_1_1_window_iterator.xhtml#a29c49772c26b8ff81c166328d21190a4',1,'arm_compute::WindowIterator::set_step()']]],
- ['set_5fstop_5fon_5ferror',['set_stop_on_error',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ab4b7e9757ad7e9d23b608b617c5dffa6',1,'arm_compute::test::framework::Framework']]],
- ['set_5fstrategy',['set_strategy',['../classarm__compute_1_1_i_scheduler_1_1_hints.xhtml#afae467bfef0ebb2891c61d767ec7a03e',1,'arm_compute::IScheduler::Hints']]],
- ['set_5fstream',['set_stream',['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#a4c42c24c66df12502377695d5e54ffa7',1,'arm_compute::test::framework::Printer']]],
- ['set_5fstride',['set_stride',['../classarm__compute_1_1_tensor_accessor.xhtml#aaeb7b519ec2fd4a7fc90884890783dd6',1,'arm_compute::TensorAccessor']]],
- ['set_5fstrides',['set_strides',['../classarm__compute_1_1_tensor_accessor.xhtml#ad202db1da505b31da48cc3b56b1791a6',1,'arm_compute::TensorAccessor']]],
- ['set_5ftarget',['set_target',['../classarm__compute_1_1_i_c_l_kernel.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a',1,'arm_compute::ICLKernel::set_target(GPUTarget target)'],['../classarm__compute_1_1_i_c_l_kernel.xhtml#a57e5f498fcbfc25c28b8496dfa3fc33c',1,'arm_compute::ICLKernel::set_target(cl::Device &device)'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a',1,'arm_compute::IGCKernel::set_target()'],['../classarm__compute_1_1_c_l_scheduler.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a',1,'arm_compute::CLScheduler::set_target()'],['../classarm__compute_1_1_g_c_scheduler.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a',1,'arm_compute::GCScheduler::set_target()']]],
- ['set_5ftarget_5fhint',['set_target_hint',['../namespacearm__compute_1_1graph__utils.xhtml#ab6dc388200717b5fae17342af13f5e41',1,'arm_compute::graph_utils']]],
- ['set_5ftensor_5faccessor',['set_tensor_accessor',['../namespacearm__compute_1_1graph.xhtml#a4ebedbbf720dd9a5bd14584f723b056e',1,'arm_compute::graph']]],
- ['set_5ftensor_5fshape',['set_tensor_shape',['../classarm__compute_1_1_i_tensor_info.xhtml#a12a4f1190952613e36b44846962e26bb',1,'arm_compute::ITensorInfo::set_tensor_shape()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a2d7e8b8e05c3318b2d90c40d781745d2',1,'arm_compute::SubTensorInfo::set_tensor_shape()'],['../classarm__compute_1_1_tensor_info.xhtml#a2d7e8b8e05c3318b2d90c40d781745d2',1,'arm_compute::TensorInfo::set_tensor_shape()']]],
- ['set_5ftest_5fresult',['set_test_result',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a4494f098cda45f40105c454d0ffa9147',1,'arm_compute::test::framework::Framework']]],
- ['set_5fthrow_5ferrors',['set_throw_errors',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a5e61ba4403f0d2bd4f755f59193af692',1,'arm_compute::test::framework::Framework']]],
- ['set_5ftranspose_5fweights',['set_transpose_weights',['../structarm__compute_1_1_fully_connected_layer_info.xhtml#a4970577135598818a35078d95bbbd401',1,'arm_compute::FullyConnectedLayerInfo']]],
- ['set_5ftune_5fnew_5fkernels',['set_tune_new_kernels',['../classarm__compute_1_1_c_l_tuner.xhtml#aba10acdb2d58e3e0a96364c487a71d40',1,'arm_compute::CLTuner']]],
- ['set_5ftuner',['set_tuner',['../classarm__compute_1_1_c_l_scheduler.xhtml#ad4e05822793fb639fd65ac30428a7878',1,'arm_compute::CLScheduler']]],
- ['set_5ftuner_5fmode',['set_tuner_mode',['../classarm__compute_1_1_c_l_tuner.xhtml#aae485b24df65d39cb646e48317f49639',1,'arm_compute::CLTuner']]],
- ['set_5fvalid_5fregion',['set_valid_region',['../classarm__compute_1_1_access_window_auto_padding.xhtml#a7f947a06cc9bc2896f3d0efc0201ac5a',1,'arm_compute::AccessWindowAutoPadding::set_valid_region()'],['../classarm__compute_1_1_access_window_static.xhtml#a729ab9364d77a28c009732b497c3b835',1,'arm_compute::AccessWindowStatic::set_valid_region()'],['../classarm__compute_1_1_access_window_rectangle.xhtml#a718cd06814abc688b1abdc729ed3a71b',1,'arm_compute::AccessWindowRectangle::set_valid_region()'],['../classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6',1,'arm_compute::ITensorInfo::set_valid_region()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a43e45363267b6bce4bb6770febe9ce11',1,'arm_compute::SubTensorInfo::set_valid_region()'],['../classarm__compute_1_1_tensor_info.xhtml#a43e45363267b6bce4bb6770febe9ce11',1,'arm_compute::TensorInfo::set_valid_region()']]],
- ['set_5fweights_5ftrained_5flayout',['set_weights_trained_layout',['../structarm__compute_1_1_fully_connected_layer_info.xhtml#a8fb35e774b0145f41acab2dac458edb2',1,'arm_compute::FullyConnectedLayerInfo']]],
- ['set_5fworking_5fspace',['set_working_space',['../classarm__gemm_1_1_gemm_hybrid_quantized.xhtml#a3c4ac8c2c401117656142ea05852093a',1,'arm_gemm::GemmHybridQuantized::set_working_space()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#aee006b8384820aa25720e84b91b32a27',1,'arm_gemm::GemmInterleaved::set_working_space()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a458c339803f238b70020c3d933e9f766',1,'arm_gemm::GemvBatched::set_working_space()'],['../classarm__gemm_1_1_quantize_wrapper.xhtml#a458c339803f238b70020c3d933e9f766',1,'arm_gemm::QuantizeWrapper::set_working_space()']]],
- ['setup',['setup',['../classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d',1,'arm_compute::test::framework::Fixture']]],
- ['setup_5fbackend_5fcontext',['setup_backend_context',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#a7b1a687adb038e7e989e5d33b26651dc',1,'arm_compute::graph::backends::CLDeviceBackend::setup_backend_context()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#a7b1a687adb038e7e989e5d33b26651dc',1,'arm_compute::graph::backends::GCDeviceBackend::setup_backend_context()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#a7b1a687adb038e7e989e5d33b26651dc',1,'arm_compute::graph::backends::NEDeviceBackend::setup_backend_context()'],['../classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#ad172b9815229e40cd25ad1c401d2a0e4',1,'arm_compute::graph::backends::IDeviceBackend::setup_backend_context()']]],
- ['setup_5fdummy_5ffbo',['setup_dummy_fbo',['../classarm__compute_1_1_g_c_kernel_library.xhtml#a374c8804afa3425411f78ec3b164f267',1,'arm_compute::GCKernelLibrary']]],
- ['setup_5frequested_5fbackend_5fcontext',['setup_requested_backend_context',['../namespacearm__compute_1_1graph.xhtml#aaef0102f19fc08d670766506b1a0b66e',1,'arm_compute::graph']]],
- ['shape',['shape',['../classarm__compute_1_1_window.xhtml#abfa164a379c0c401a662792d7d0ccfba',1,'arm_compute::Window::shape()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba',1,'arm_compute::test::CLAccessor::shape()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba',1,'arm_compute::test::GCAccessor::shape()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1',1,'arm_compute::test::IAccessor::shape()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba',1,'arm_compute::test::Accessor::shape()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba',1,'arm_compute::test::SimpleTensor::shape()'],['../classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba',1,'arm_compute::test::SimpleTensorAccessor::shape()']]],
- ['shape_5fto_5fvalid_5fregion',['shape_to_valid_region',['../namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42',1,'arm_compute::test']]],
- ['shape_5fto_5fvalid_5fregion_5fgaussian_5fpyramid_5fhalf',['shape_to_valid_region_gaussian_pyramid_half',['../namespacearm__compute_1_1test.xhtml#a1177ef8061a8b46b5d79c1af93c12de1',1,'arm_compute::test']]],
- ['shape_5fto_5fvalid_5fregion_5flaplacian_5fpyramid',['shape_to_valid_region_laplacian_pyramid',['../namespacearm__compute_1_1test.xhtml#a6dc99a4de397ceab182b6fd46fa55f47',1,'arm_compute::test']]],
- ['share_5flocation',['share_location',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a7bc581f245390f063f02c3fcbb422320',1,'arm_compute::DetectionOutputLayerInfo']]],
- ['shift',['shift',['../classarm__compute_1_1_window.xhtml#ae688f3eb6c2673216d12d5490e1e88dc',1,'arm_compute::Window']]],
- ['shift_5fdimensions',['shift_dimensions',['../classarm__compute_1_1_window.xhtml#a02d0a4c2898a6eb2ca7706c811b0ce81',1,'arm_compute::Window']]],
- ['shift_5fright',['shift_right',['../classarm__compute_1_1_tensor_shape.xhtml#ab6d90bb06b3c19db6aba94975be64d10',1,'arm_compute::TensorShape']]],
- ['sign',['sign',['../unionarm__compute_1_1helpers_1_1float__ops_1_1_raw_float.xhtml#a20d424219004c098e3c7e845e391afb6',1,'arm_compute::helpers::float_ops::RawFloat']]],
- ['signal',['signal',['../classarm__compute_1_1_semaphore.xhtml#a2a0f4bfac2f24aa0a07de86141381aec',1,'arm_compute::Semaphore']]],
- ['simpleoption',['SimpleOption',['../classarm__compute_1_1utils_1_1_simple_option.xhtml#a53b7b0b7aee13285e6d841dc184c054b',1,'arm_compute::utils::SimpleOption']]],
- ['simpletensor',['SimpleTensor',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a011bb65bd16aaf66b8efb3929692b2ce',1,'arm_compute::test::SimpleTensor::SimpleTensor()=default'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a057b52c2d0c51f410da5e48f47706c4e',1,'arm_compute::test::SimpleTensor::SimpleTensor(TensorShape shape, Format format)'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad2a966c334c9bb65621f891ff5e2b5bb',1,'arm_compute::test::SimpleTensor::SimpleTensor(TensorShape shape, DataType data_type, int num_channels=1, QuantizationInfo quantization_info=QuantizationInfo(), DataLayout data_layout=DataLayout::NCHW)'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ae1769959044a4356fdc93cac2b03a5f6',1,'arm_compute::test::SimpleTensor::SimpleTensor(const SimpleTensor &tensor)'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a40eed42b5858849fb8570018760ba996',1,'arm_compute::test::SimpleTensor::SimpleTensor(SimpleTensor &&)=default']]],
- ['simpletensoraccessor',['SimpleTensorAccessor',['../classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a109300d319628a8d2c9fdea0ecc43772',1,'arm_compute::test::SimpleTensorAccessor::SimpleTensorAccessor(SimpleTensor< T > &tensor)'],['../classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a5057940c111764c4843d22d17e59d8a1',1,'arm_compute::test::SimpleTensorAccessor::SimpleTensorAccessor(const SimpleTensorAccessor &)=delete'],['../classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a7d20b25cdb875a18837aa037e67ce382',1,'arm_compute::test::SimpleTensorAccessor::SimpleTensorAccessor(SimpleTensorAccessor &&)=default']]],
- ['single_5fconvolve_5f3x3_5fdilation',['single_convolve_3x3_dilation',['../namespacearm__compute_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb',1,'arm_compute::detail::single_convolve_3x3_dilation(const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, const size_t dilation_x, int input_offset)'],['../namespacearm__compute_1_1detail.xhtml#ab981d9f1da663b405c24281bfd04b896',1,'arm_compute::detail::single_convolve_3x3_dilation(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, size_t dilation_x, int input_offset)']]],
- ['singletondataset',['SingletonDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#ad23d34842f593ae646353d39fc0466cd',1,'arm_compute::test::framework::dataset::SingletonDataset::SingletonDataset(std::string name, T &&value)'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#a8a4f32d87c0e1f8d764c90a1abfaaa76',1,'arm_compute::test::framework::dataset::SingletonDataset::SingletonDataset(SingletonDataset &&)=default']]],
- ['size',['size',['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a259cb5a711406a8c3e5d937eb9350cca',1,'arm_compute::gles::NDRange::size()'],['../classarm__compute_1_1_i_distribution.xhtml#aa983ddaeded5756189f46428be79c631',1,'arm_compute::IDistribution::size()'],['../classarm__compute_1_1_i_distribution1_d.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::IDistribution1D::size()'],['../classarm__compute_1_1cl__tuner_1_1_i_c_l_l_w_s_list.xhtml#a56d807462b9d24ed3ac7ff22a5418953',1,'arm_compute::cl_tuner::ICLLWSList::size()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#a259cb5a711406a8c3e5d937eb9350cca',1,'arm_compute::ILutAllocator::size()'],['../classarm__compute_1_1_i_memory_region.xhtml#a259cb5a711406a8c3e5d937eb9350cca',1,'arm_compute::IMemoryRegion::size()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::CLAccessor::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::CartesianProductDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::ContainerDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::InitializerListDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::JoinDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::RangeDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::SingletonDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::ZipDataset::size()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::GCAccessor::size()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#aa983ddaeded5756189f46428be79c631',1,'arm_compute::test::IAccessor::size()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::Accessor::size()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::SimpleTensor::size()'],['../classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::SimpleTensorAccessor::size()']]],
- ['size2d',['Size2D',['../classarm__compute_1_1_size2_d.xhtml#a3eb3bec6d4d66aade9a65a822b158194',1,'arm_compute::Size2D::Size2D()=default'],['../classarm__compute_1_1_size2_d.xhtml#a9863cd6393417aa75ad980189b0fedaf',1,'arm_compute::Size2D::Size2D(size_t w, size_t h)']]],
- ['size_5fin_5fbytes',['size_in_bytes',['../classarm__compute_1_1_i_lut.xhtml#a6314b1e589ffe32277858c018ac3c630',1,'arm_compute::ILut::size_in_bytes()'],['../classarm__compute_1_1_c_l_lut.xhtml#a68f33e9afee896dc24b32093d25c6766',1,'arm_compute::CLLut::size_in_bytes()'],['../classarm__compute_1_1_lut.xhtml#a68f33e9afee896dc24b32093d25c6766',1,'arm_compute::Lut::size_in_bytes()']]],
- ['slice',['slice',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1',1,'arm_compute::test::validation::reference::slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa29a68ae51222595dbe5069d4e082c24',1,'arm_compute::test::validation::reference::slice(const SimpleTensor< float > &src, Coordinates starts, Coordinates ends)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a69e42a64983665cb7451016d3ca66e34',1,'arm_compute::test::validation::reference::slice(const SimpleTensor< half_float::half > &src, Coordinates starts, Coordinates ends)']]],
- ['slicelayer',['SliceLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_slice_layer.xhtml#af595d920ba4be189b2291e957503d9fd',1,'arm_compute::graph::frontend::SliceLayer']]],
- ['slicelayernode',['SliceLayerNode',['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#af106262e1a68a4a143c257f33479ef2d',1,'arm_compute::graph::SliceLayerNode']]],
- ['slide_5fwindow_5fslice_5f1d',['slide_window_slice_1D',['../classarm__compute_1_1_window.xhtml#ad1a2b580ba9e1a3ed7124c3f37179bca',1,'arm_compute::Window']]],
- ['slide_5fwindow_5fslice_5f2d',['slide_window_slice_2D',['../classarm__compute_1_1_window.xhtml#af72109ea9b9b75839d5601e39d8394de',1,'arm_compute::Window']]],
- ['slide_5fwindow_5fslice_5f3d',['slide_window_slice_3D',['../classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215',1,'arm_compute::Window']]],
- ['slide_5fwindow_5fslice_5f4d',['slide_window_slice_4D',['../classarm__compute_1_1_window.xhtml#ad41f3f5322c2797798363be2ec3fde85',1,'arm_compute::Window']]],
- ['snprintf',['snprintf',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#a9429515817425d10f4b662eaa069cc5c',1,'arm_compute::support::cpp11']]],
- ['sobel',['sobel',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a49f4ade021d47be4a54eb343ee658c7c',1,'arm_compute::test::validation::reference::sobel(const SimpleTensor< U > &src, int filter_size, BorderMode border_mode, uint8_t constant_border_value, GradientDimension gradient_dimension)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3525a4629519b21f52059c86c9048a80',1,'arm_compute::test::validation::reference::sobel(const SimpleTensor< uint8_t > &src, int filter_size, BorderMode border_mode, uint8_t constant_border_value, GradientDimension gradient_dimension)']]],
- ['sobel1x5',['sobel1x5',['../sobel__filter_8cl.xhtml#a4fac2cb52458aa4666af5b521d2a3910',1,'sobel_filter.cl']]],
- ['sobel3x3',['sobel3x3',['../sobel__filter_8cl.xhtml#ad48e3b9dda20b039199eaea842350975',1,'sobel_filter.cl']]],
- ['sobel5x1',['sobel5x1',['../sobel__filter_8cl.xhtml#a1cfe58175749124762fe0dea315d3c21',1,'sobel_filter.cl']]],
- ['sobel_5fseparable1x5',['sobel_separable1x5',['../sobel__filter_8cl.xhtml#a7a74e414f0e90638939a7a0506576625',1,'sobel_filter.cl']]],
- ['sobel_5fseparable1x7',['sobel_separable1x7',['../sobel__filter_8cl.xhtml#ad8be5e69836ab70ac229279a7d7edaf7',1,'sobel_filter.cl']]],
- ['sobel_5fseparable5x1',['sobel_separable5x1',['../sobel__filter_8cl.xhtml#a2cc1fcdd12f2c3cdd31b83fd59597e40',1,'sobel_filter.cl']]],
- ['sobel_5fseparable7x1',['sobel_separable7x1',['../sobel__filter_8cl.xhtml#a8cdc6e6df9d40cec1e857917d14ee75f',1,'sobel_filter.cl']]],
- ['soft_5fnms_5fenabled',['soft_nms_enabled',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a9bfc32f4601b11c9c5b18648ad6ae0fc',1,'arm_compute::BoxNMSLimitInfo']]],
- ['soft_5fnms_5fmethod',['soft_nms_method',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#ab1de5a83f57e76567391915b23d2b483',1,'arm_compute::BoxNMSLimitInfo']]],
- ['soft_5fnms_5fmin_5fscore_5fthres',['soft_nms_min_score_thres',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a8ce2eccce44a2d3bf9dce07cbf821cd4',1,'arm_compute::BoxNMSLimitInfo']]],
- ['soft_5fnms_5fsigma',['soft_nms_sigma',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#ad54fb0c74b50fe8594e530abc8765888',1,'arm_compute::BoxNMSLimitInfo']]],
- ['softmax_5flayer',['softmax_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5be8e137e2ace7ccaa059ca741f9fb95',1,'arm_compute::test::validation::reference::softmax_layer(const SimpleTensor< T > &src, float beta, size_t axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8547f81b97085bc5af17ea27ba7c18f0',1,'arm_compute::test::validation::reference::softmax_layer(const SimpleTensor< float > &src, float beta, size_t axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4db13f79d26e9c1466a13ff930d31447',1,'arm_compute::test::validation::reference::softmax_layer(const SimpleTensor< half > &src, float beta, size_t axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0b24305fe605098a988f71fdf15e5ad3',1,'arm_compute::test::validation::reference::softmax_layer(const SimpleTensor< uint8_t > &src, float beta, size_t axis)']]],
- ['softmax_5flayer_5fmax_5fshift_5fexp_5fsum_5fparallel',['softmax_layer_max_shift_exp_sum_parallel',['../softmax__layer_8cl.xhtml#a82bc360279fcf7cf8033dca6022f21f5',1,'softmax_layer.cl']]],
- ['softmax_5flayer_5fmax_5fshift_5fexp_5fsum_5fserial',['softmax_layer_max_shift_exp_sum_serial',['../softmax__layer_8cl.xhtml#a9d74601bcabbb2f14bcf52385ad666dc',1,'softmax_layer.cl']]],
- ['softmax_5flayer_5fnorm',['softmax_layer_norm',['../softmax__layer_8cl.xhtml#ac4247ac0991e85965b7ded764e78f12c',1,'softmax_layer.cl']]],
- ['softmaxlayer',['SoftmaxLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer.xhtml#ae12d901b385c3facc7b19ac809ad6b20',1,'arm_compute::graph::frontend::SoftmaxLayer']]],
- ['softmaxlayernode',['SoftmaxLayerNode',['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a673ac378678b27b6cbfc23427ca9e495',1,'arm_compute::graph::SoftmaxLayerNode']]],
- ['sort5',['sort5',['../non__linear__filter__helpers_8h.xhtml#a7b5c174de888c3cfa7c08c16682fd770',1,'non_linear_filter_helpers.h']]],
- ['sort9',['sort9',['../non__linear__filter__helpers_8h.xhtml#a0960df49e39a9499677066c32600c17f',1,'non_linear_filter_helpers.h']]],
- ['sort_5findices',['sort_indices',['../namespacearm__compute_1_1utility.xhtml#a0c1a72cd100958036bb59f0625f0613f',1,'arm_compute::utility']]],
- ['space_5fto_5fbatch',['space_to_batch',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a542fc60389c966ad25b15a53ac932ec0',1,'arm_compute::test::validation::reference::space_to_batch(const SimpleTensor< T > &src, const SimpleTensor< int32_t > &block_shape, const SimpleTensor< int32_t > &paddings, const TensorShape &dst_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a78ba0d6811573e8170a663728680dfcf',1,'arm_compute::test::validation::reference::space_to_batch(const SimpleTensor< float > &src, const SimpleTensor< int32_t > &block_shape, const SimpleTensor< int32_t > &paddings, const TensorShape &dst_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0349f5a3ee3a5d25bc50818a701e32eb',1,'arm_compute::test::validation::reference::space_to_batch(const SimpleTensor< half > &src, const SimpleTensor< int32_t > &block_shape, const SimpleTensor< int32_t > &paddings, const TensorShape &dst_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a422edd0f26551e4ef6eaa4e7bd2e481e',1,'arm_compute::test::validation::reference::space_to_batch(const SimpleTensor< uint8_t > &src, const SimpleTensor< int32_t > &block_shape, const SimpleTensor< int32_t > &paddings, const TensorShape &dst_shape)']]],
- ['space_5fto_5fdepth',['space_to_depth',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a05e1ae7538add5af2dfd02758c8445b5',1,'arm_compute::test::validation::reference::space_to_depth(const SimpleTensor< T > &src, const TensorShape &dst_shape, const int block_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a50ba28466df871bbf6b38ccdd2817c4e',1,'arm_compute::test::validation::reference::space_to_depth(const SimpleTensor< float > &src, const TensorShape &dst_shape, const int block_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7e94ae75a4a091ee96162879f7860ae0',1,'arm_compute::test::validation::reference::space_to_depth(const SimpleTensor< half > &src, const TensorShape &dst_shape, const int block_shape)']]],
- ['spatial_5fscale',['spatial_scale',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml#a70fd561a558e9f433088b64587a9cb62',1,'arm_compute::ROIPoolingLayerInfo::spatial_scale()'],['../classarm__compute_1_1_generate_proposals_info.xhtml#a70fd561a558e9f433088b64587a9cb62',1,'arm_compute::GenerateProposalsInfo::spatial_scale()'],['../classarm__compute_1_1_compute_anchors_info.xhtml#a70fd561a558e9f433088b64587a9cb62',1,'arm_compute::ComputeAnchorsInfo::spatial_scale()']]],
- ['split_5fdimension',['split_dimension',['../classarm__compute_1_1_i_scheduler_1_1_hints.xhtml#a4682a1a3d110d8f8807051cd998ced88',1,'arm_compute::IScheduler::Hints']]],
- ['split_5fwindow',['split_window',['../classarm__compute_1_1_window.xhtml#ad82ac0dcf7e7a862a3b73f1be3ca98f1',1,'arm_compute::Window']]],
- ['splitlayernode',['SplitLayerNode',['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#accf2137eb2965aaafd664d513b330874',1,'arm_compute::graph::SplitLayerNode']]],
- ['sqadd',['sqadd',['../namespacearm__compute.xhtml#a671b1da70aa3efc02c508648ae2d81b5',1,'arm_compute']]],
- ['sqmul',['sqmul',['../namespacearm__compute.xhtml#a705ed42150ffbe645f7ba2fb5d0a5bb6',1,'arm_compute']]],
- ['sqsub',['sqsub',['../namespacearm__compute.xhtml#a7462bb232b41864413a4d8603a660d16',1,'arm_compute']]],
- ['square',['square',['../structarm__compute_1_1detail_1_1square.xhtml#a6050e9843849fcc010555e14358f2bd0',1,'arm_compute::detail::square']]],
- ['square_5fsum',['square_sum',['../reduction__operation_8cl.xhtml#a48cc0583beba45dfba6d94fb6dc3c59a',1,'reduction_operation.cl']]],
- ['src',['src',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac1783f94b5942a7c78100c398e192569',1,'arm_compute::test::validation']]],
- ['stack_5flayer',['stack_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad85d74ccebfcf9cb1fe365106b1a8942',1,'arm_compute::test::validation::reference::stack_layer(const std::vector< SimpleTensor< T >> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af0c66df558c6d72fe52fdbb10a1a56ac',1,'arm_compute::test::validation::reference::stack_layer(const std::vector< SimpleTensor< int >> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a36ab5c75947ea8e7c35973444255711d',1,'arm_compute::test::validation::reference::stack_layer(const std::vector< SimpleTensor< short >> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac682fa5701bdf7949d8b5a26ef187e7b',1,'arm_compute::test::validation::reference::stack_layer(const std::vector< SimpleTensor< char >> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis)']]],
- ['stacklayer',['StackLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_stack_layer.xhtml#a4e534985818ce7c5560abc0c6a99e021',1,'arm_compute::graph::frontend::StackLayer::StackLayer(SubStream &&sub_stream1, SubStream &&sub_stream2, Ts &&... rest_sub_streams)'],['../classarm__compute_1_1graph_1_1frontend_1_1_stack_layer.xhtml#aeea441309ced0e245856a5e70e82b63e',1,'arm_compute::graph::frontend::StackLayer::StackLayer(int axis, SubStream &&sub_stream1, SubStream &&sub_stream2, Ts &&... rest_sub_streams)'],['../classarm__compute_1_1graph_1_1frontend_1_1_stack_layer.xhtml#a198fc3f27d247211a87832d4e74d4a70',1,'arm_compute::graph::frontend::StackLayer::StackLayer(SubStream &&sub_stream)']]],
- ['stacklayernode',['StackLayerNode',['../classarm__compute_1_1graph_1_1_stack_layer_node.xhtml#ae2f61b7b0cc3d8a7d63c34ffdab16037',1,'arm_compute::graph::StackLayerNode']]],
- ['start',['start',['../structarm__compute_1_1_valid_region.xhtml#aae139363fa58e04c3d391339e820a06f',1,'arm_compute::ValidRegion::start()'],['../classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060',1,'arm_compute::Window::Dimension::start()'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a62b63bddf378b0e13a4affa3e8e1bedf',1,'arm_compute::test::framework::Instrument::start()'],['../classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::MaliCounter::start()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_memory_usage.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::OpenCLMemoryUsage::start()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_clock.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::OpenCLClock::start()'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u_counter.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::PMUCounter::start()'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::SchedulerClock::start()'],['../classarm__compute_1_1test_1_1framework_1_1_wall_clock.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::WallClock::start()'],['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a60de64d75454385b23995437f1d72669',1,'arm_compute::test::framework::Profiler::start()']]],
- ['start_5flifetime',['start_lifetime',['../classarm__compute_1_1_i_lifetime_manager.xhtml#ad8645b2be72197ce554268c1dc704849',1,'arm_compute::ILifetimeManager::start_lifetime()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#af9e6669812c674ab36a3cb3e592d5efe',1,'arm_compute::ISimpleLifetimeManager::start_lifetime()']]],
- ['starts',['starts',['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a476f08a0729f8861bec63b7e62c7b514',1,'arm_compute::graph::SliceLayerNode']]],
- ['status',['status',['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a12bb27a4d1aa5d1e69b44b06b515be74',1,'arm_compute::test::framework::TestCaseFactory::status()'],['../classarm__compute_1_1_status.xhtml#aafde58df1b2a6a91d5b674373be3ffc5',1,'arm_compute::Status::Status()'],['../classarm__compute_1_1_status.xhtml#ac99a5dea2bc1b688ba6ecb82f593ad63',1,'arm_compute::Status::Status(ErrorCode error_status, std::string error_description=" ")'],['../classarm__compute_1_1_status.xhtml#a93b08299ab67e6071215b7dcabb40386',1,'arm_compute::Status::Status(const Status &)=default'],['../classarm__compute_1_1_status.xhtml#a04f96e4e7edaff82af5ac355b0b209f6',1,'arm_compute::Status::Status(Status &&)=default']]],
- ['step',['step',['../classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe',1,'arm_compute::Window::Dimension']]],
- ['steps',['steps',['../classarm__compute_1_1_prior_box_layer_info.xhtml#a6b45b0e0f8dd18aae641aebaf5055e4d',1,'arm_compute::PriorBoxLayerInfo::steps()'],['../classarm__compute_1_1_steps.xhtml#ad5ac35535f5df9d92f9a77bf4d772f76',1,'arm_compute::Steps::Steps(Ts... steps)'],['../classarm__compute_1_1_steps.xhtml#ae1478601d1a4df4ce6952dfedc42aea6',1,'arm_compute::Steps::Steps(const Steps &)=default'],['../classarm__compute_1_1_steps.xhtml#a55144677120e26b771c2ed3959fb21bf',1,'arm_compute::Steps::Steps(Steps &&)=default']]],
- ['stof',['stof',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#a1df10cffb9f2dea9f3b007ce411e105f',1,'arm_compute::support::cpp11']]],
- ['stoi',['stoi',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#abdba606a789b8d664774f17d18f45cfe',1,'arm_compute::support::cpp11']]],
- ['stop',['stop',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#ae92ae13a136435391be883fd6f0f5c8c',1,'arm_compute::test::framework::Instrument::stop()'],['../classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#ab3536e22848ce87b16a9b96d6d824d45',1,'arm_compute::test::framework::MaliCounter::stop()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_memory_usage.xhtml#ab3536e22848ce87b16a9b96d6d824d45',1,'arm_compute::test::framework::OpenCLMemoryUsage::stop()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_clock.xhtml#ab3536e22848ce87b16a9b96d6d824d45',1,'arm_compute::test::framework::OpenCLClock::stop()'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u_counter.xhtml#ab3536e22848ce87b16a9b96d6d824d45',1,'arm_compute::test::framework::PMUCounter::stop()'],['../classarm__compute_1_1test_1_1framework_1_1_wall_clock.xhtml#ab3536e22848ce87b16a9b96d6d824d45',1,'arm_compute::test::framework::WallClock::stop()'],['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a8c528baf37154d347366083f0f816846',1,'arm_compute::test::framework::Profiler::stop()']]],
- ['stop_5fon_5ferror',['stop_on_error',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a0fa5f7d6bcff8bfd18ec2aadf660a489',1,'arm_compute::test::framework::Framework']]],
- ['store_5fresults',['store_results',['../namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5',1,'arm_compute::detail::store_results(float *buffer, const float32x4x2_t &values)'],['../namespacearm__compute_1_1detail.xhtml#aa9f26cd83047a111336033fb7466faf1',1,'arm_compute::detail::store_results(int32_t *buffer, const int32x4x2_t &values)']]],
- ['store_5fresults_3c_201_20_3e',['store_results< 1 >',['../namespacearm__compute_1_1detail.xhtml#ad61a01ef06cc3c41e4bb5006d9307687',1,'arm_compute::detail::store_results< 1 >(float *buffer, const float32x4x2_t &values)'],['../namespacearm__compute_1_1detail.xhtml#a143f43b1fb56a8d806145e95d4c3995e',1,'arm_compute::detail::store_results< 1 >(int32_t *buffer, const int32x4x2_t &values)']]],
- ['store_5fresults_3c_202_20_3e',['store_results< 2 >',['../namespacearm__compute_1_1detail.xhtml#abaf3037739c190361ad3f827d73440a1',1,'arm_compute::detail::store_results< 2 >(float *buffer, const float32x4x2_t &values)'],['../namespacearm__compute_1_1detail.xhtml#af63e34203346681c35b68fcca2026a06',1,'arm_compute::detail::store_results< 2 >(int32_t *buffer, const int32x4x2_t &values)']]],
- ['store_5fresults_3c_203_20_3e',['store_results< 3 >',['../namespacearm__compute_1_1detail.xhtml#a208468ac4ffbfe19d7fb03402ca927f6',1,'arm_compute::detail::store_results< 3 >(float *buffer, const float32x4x2_t &values)'],['../namespacearm__compute_1_1detail.xhtml#a991bde46f2841422fb98258127305050',1,'arm_compute::detail::store_results< 3 >(int32_t *buffer, const int32x4x2_t &values)']]],
- ['store_5frgb_5ffrom_5fsrc',['store_rgb_from_src',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#a2e81f75558ad85ac6c1ac3972e113542',1,'arm_compute::test::colorconvert_helper::detail']]],
- ['store_5fvalue_5fwith_5fdata_5ftype',['store_value_with_data_type',['../namespacearm__compute_1_1test.xhtml#a1e6934e95738573214c2ce1d6648d116',1,'arm_compute::test']]],
- ['stoul',['stoul',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#ae7b85c41ac94d98f07b1cef18b33d2d1',1,'arm_compute::support::cpp11']]],
- ['strategy',['strategy',['../classarm__compute_1_1_i_scheduler_1_1_hints.xhtml#a7d8915bebdf3785072169d23b3b6d6a3',1,'arm_compute::IScheduler::Hints']]],
- ['stream',['Stream',['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#ace44f45b8083003a71ecd0a5615ddc9e',1,'arm_compute::graph::frontend::Stream::Stream(size_t id, std::string name)'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a441dcaebaaec86f15c520874e77b7c42',1,'arm_compute::graph::frontend::Stream::Stream(const Stream &)=delete'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a8d63178268f86cacfbc82d521213e485',1,'arm_compute::graph::frontend::Stream::Stream(Stream &&)=default'],['../classarm__compute_1_1io_1_1_file_handler.xhtml#a54bf969e8dd0d19b020744eb829a19aa',1,'arm_compute::io::FileHandler::stream()']]],
- ['stride',['stride',['../classarm__compute_1_1_pad_stride_info.xhtml#a6e324c1bd1111876469ea247da156147',1,'arm_compute::PadStrideInfo::stride()'],['../classarm__compute_1_1_tensor_accessor.xhtml#a1215e0cddf595dc92efdf214a89cd95f',1,'arm_compute::TensorAccessor::stride()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a47d010db0ab9940009209db7cf529f36',1,'arm_compute::graph::ReorgLayerNode::stride()']]],
- ['strided_5fslice',['strided_slice',['../slice__ops_8cl.xhtml#a1ff147e576a6f86e0ff50c91716f42ac',1,'strided_slice(): slice_ops.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1cd4d70f0bab74b1aa3cb43b3e3a0be5',1,'arm_compute::test::validation::reference::strided_slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends, BiStrides strides, int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6afd3ff048b88a08c17e61277bfd10cb',1,'arm_compute::test::validation::reference::strided_slice(const SimpleTensor< float > &src, Coordinates starts, Coordinates ends, BiStrides strides, int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a58bfd4f5ff4a8e1fc0999c6bb5ac5a15',1,'arm_compute::test::validation::reference::strided_slice(const SimpleTensor< half_float::half > &src, Coordinates starts, Coordinates ends, BiStrides strides, int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)']]],
- ['strides',['Strides',['../classarm__compute_1_1_strides.xhtml#ae4ffc5088cdc9de84c422f3952af4ee1',1,'arm_compute::Strides::Strides(Ts... strides)'],['../classarm__compute_1_1_strides.xhtml#aff8ae27aa78df0ff95b55bbf726c92da',1,'arm_compute::Strides::Strides(const Strides &)=default'],['../classarm__compute_1_1_strides.xhtml#a6b0793690f5dce340a23009dbd04f482',1,'arm_compute::Strides::Strides(Strides &&)=default']]],
- ['strides_5fin_5fbytes',['strides_in_bytes',['../classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f',1,'arm_compute::ITensorInfo::strides_in_bytes()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec',1,'arm_compute::SubTensorInfo::strides_in_bytes()'],['../classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec',1,'arm_compute::TensorInfo::strides_in_bytes()']]],
- ['string_5ffrom_5factivation_5ffunc',['string_from_activation_func',['../namespacearm__compute.xhtml#a635f1895d94050329b7da12850d1a056',1,'arm_compute']]],
- ['string_5ffrom_5fborder_5fmode',['string_from_border_mode',['../namespacearm__compute.xhtml#ae0204b49ec236bbaedb1cf96def276d4',1,'arm_compute']]],
- ['string_5ffrom_5fchannel',['string_from_channel',['../namespacearm__compute.xhtml#af0dfcd19fb6510cd3c303db6c4583ee6',1,'arm_compute']]],
- ['string_5ffrom_5fdata_5flayout',['string_from_data_layout',['../namespacearm__compute.xhtml#a56b9e25c2e8731ca5488e7b3ccd66f58',1,'arm_compute']]],
- ['string_5ffrom_5fdata_5ftype',['string_from_data_type',['../namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9',1,'arm_compute']]],
- ['string_5ffrom_5fformat',['string_from_format',['../namespacearm__compute.xhtml#a8b82da7b5e0f6192f415ac347c9e0555',1,'arm_compute']]],
- ['string_5ffrom_5fgemmlowp_5foutput_5fstage',['string_from_gemmlowp_output_stage',['../namespacearm__compute.xhtml#a291164a04581bf953aa65ae87cc201a2',1,'arm_compute']]],
- ['string_5ffrom_5finterpolation_5fpolicy',['string_from_interpolation_policy',['../namespacearm__compute.xhtml#a3e4a3ad379526db61e1ebf469b455f83',1,'arm_compute']]],
- ['string_5ffrom_5flog_5flevel',['string_from_log_level',['../namespacearm__compute_1_1logging.xhtml#aded9d9a848b3f0011e58612a624662bb',1,'arm_compute::logging']]],
- ['string_5ffrom_5fmatrix_5fpattern',['string_from_matrix_pattern',['../namespacearm__compute.xhtml#a067481a9a245a2ee831a650e72a377ce',1,'arm_compute']]],
- ['string_5ffrom_5fnon_5flinear_5ffilter_5ffunction',['string_from_non_linear_filter_function',['../namespacearm__compute.xhtml#a99248d472f05dbf03ac613620f5acbbb',1,'arm_compute']]],
- ['string_5ffrom_5fnorm_5ftype',['string_from_norm_type',['../namespacearm__compute.xhtml#a0569839ee85ad0e35edaaf3b4c80d706',1,'arm_compute']]],
- ['string_5ffrom_5fpixel_5fvalue',['string_from_pixel_value',['../namespacearm__compute.xhtml#ad6eaf2181f8a8c418acaf3af76239997',1,'arm_compute']]],
- ['string_5ffrom_5fpooling_5ftype',['string_from_pooling_type',['../namespacearm__compute.xhtml#a1040394085749e4d02a0d4350493ec94',1,'arm_compute']]],
- ['string_5ffrom_5fscheduler_5ftype',['string_from_scheduler_type',['../namespacearm__compute.xhtml#a192c7cf59b34ae925eb1c8c315a06225',1,'arm_compute']]],
- ['string_5ffrom_5ftarget',['string_from_target',['../namespacearm__compute.xhtml#af7795707992825c309fe846740dc8cf8',1,'arm_compute']]],
- ['string_5fwith_5fformat',['string_with_format',['../namespacearm__compute_1_1logging.xhtml#a1ee67c2cdc03648fa752d866d6b44890',1,'arm_compute::logging']]],
- ['stringdecorator',['StringDecorator',['../classarm__compute_1_1logging_1_1_string_decorator.xhtml#a771c01048077563edb8c5bfe596cd5e6',1,'arm_compute::logging::StringDecorator']]],
- ['substream',['SubStream',['../classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml#abbc925e1a1607e3535e7b6f618032ac1',1,'arm_compute::graph::frontend::SubStream']]],
- ['subtensor',['SubTensor',['../classarm__compute_1_1_sub_tensor.xhtml#a29f0969775d17df94d8e87c40b7b7df1',1,'arm_compute::SubTensor::SubTensor()'],['../classarm__compute_1_1_sub_tensor.xhtml#a4d0af8325f260b3642402e3b05a6c0df',1,'arm_compute::SubTensor::SubTensor(ITensor *parent, const TensorShape &tensor_shape, const Coordinates &coords, bool extend_parent=false)'],['../classarm__compute_1_1_sub_tensor.xhtml#ab7280b618490cedd24a18fe8849b4679',1,'arm_compute::SubTensor::SubTensor(const SubTensor &)=delete'],['../classarm__compute_1_1_sub_tensor.xhtml#a366eac7e6cd70c8032528a17da5c3999',1,'arm_compute::SubTensor::SubTensor(SubTensor &&)=default']]],
- ['subtensorinfo',['SubTensorInfo',['../classarm__compute_1_1_sub_tensor_info.xhtml#a9025d7eb7c8e0d40239ddc3568d2e201',1,'arm_compute::SubTensorInfo::SubTensorInfo()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a76662f85dcac7c47e14753c03e61123f',1,'arm_compute::SubTensorInfo::SubTensorInfo(ITensorInfo *parent, TensorShape tensor_shape, Coordinates coords, bool extend_parent=false)'],['../classarm__compute_1_1_sub_tensor_info.xhtml#ae2f91fa1c229a5e05f81c4b50e667236',1,'arm_compute::SubTensorInfo::SubTensorInfo(const SubTensorInfo &)=default'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a3504ac3cf390bdc4eadbc5dca081e07a',1,'arm_compute::SubTensorInfo::SubTensorInfo(SubTensorInfo &&)=default']]],
- ['sum',['sum',['../reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782',1,'reduction_operation.cl']]],
- ['supported_5fradix',['supported_radix',['../classarm__compute_1_1_c_l_f_f_t_radix_stage_kernel.xhtml#a058f31a004475bd61913f02fbf251ddb',1,'arm_compute::CLFFTRadixStageKernel::supported_radix()'],['../classarm__compute_1_1_n_e_f_f_t_radix_stage_kernel.xhtml#a058f31a004475bd61913f02fbf251ddb',1,'arm_compute::NEFFTRadixStageKernel::supported_radix()']]],
- ['supports_5fdynamic_5fscheduling',['supports_dynamic_scheduling',['../classarm__gemm_1_1_gemm_hybrid.xhtml#a1bb76b8a32e09fb5ffffd66e04d7f741',1,'arm_gemm::GemmHybrid::supports_dynamic_scheduling()'],['../classarm__gemm_1_1_gemm_hybrid_quantized.xhtml#a1bb76b8a32e09fb5ffffd66e04d7f741',1,'arm_gemm::GemmHybridQuantized::supports_dynamic_scheduling()'],['../classarm__gemm_1_1_gemm_native.xhtml#a1bb76b8a32e09fb5ffffd66e04d7f741',1,'arm_gemm::GemmNative::supports_dynamic_scheduling()']]],
- ['suppress_5fnon_5fmaximum',['suppress_non_maximum',['../canny_8cl.xhtml#a8c233c75ee1010bcec8601d559f4be68',1,'canny.cl']]],
- ['suppress_5fsize',['suppress_size',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a0c1430ec3d495d93f98731a5f1c89f08',1,'arm_compute::BoxNMSLimitInfo']]],
- ['swap',['swap',['../namespacearm__compute.xhtml#ae70b8de3a0b147a476cabb07b8707d7f',1,'arm_compute::swap()'],['../namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3',1,'arm_compute::test::swap()']]],
- ['sync',['sync',['../classarm__compute_1_1_c_l_scheduler.xhtml#ad55f80ed3cd8b6c4f247763b747016af',1,'arm_compute::CLScheduler']]],
- ['sync_5fif_5fnecessary',['sync_if_necessary',['../namespacearm__compute_1_1test.xhtml#a5967bb62a612be6b300aa96049a2166a',1,'arm_compute::test']]],
- ['sync_5ftensor_5fif_5fnecessary',['sync_tensor_if_necessary',['../namespacearm__compute_1_1test.xhtml#a619736e19838c20cac8f668ab13aae37',1,'arm_compute::test']]]
+ ['randomaccessor',['RandomAccessor',['../classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#a47e2e3f731e842dde7baaf69634a9530',1,'arm_compute::graph_utils::RandomAccessor::RandomAccessor(PixelValue lower, PixelValue upper, const std::random_device::result_type seed=0)'],['../classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#a220e3aa92e1b83c41e0df00505894a5a',1,'arm_compute::graph_utils::RandomAccessor::RandomAccessor(RandomAccessor &&)=default']]],
+ ['range',['range',['../classarm__compute_1_1_i_distribution1_d.xhtml#a39bcb5b07a60b37fb1d6b5c9f83f85e9',1,'arm_compute::IDistribution1D::range()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b',1,'arm_compute::test::validation::reference::range(SimpleTensor< T > &dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad7059348bb7b955422375b8759747abb',1,'arm_compute::test::validation::reference::range(SimpleTensor< uint8_t > &dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a212bceee8ca9a28470ed0b9576f8f0da',1,'arm_compute::test::validation::reference::range(SimpleTensor< float > &dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af736e2b03b30fa5c7c98b387d3625f7c',1,'arm_compute::test::validation::reference::range(SimpleTensor< half > &dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7addbd608f3a8bc3d6b7bcd8bf31d6c6',1,'arm_compute::test::validation::reference::range(SimpleTensor< int8_t > &dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6683ba7c5a30679bc9d47a6a67cd85ac',1,'arm_compute::test::validation::reference::range(SimpleTensor< uint16_t > &dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3ab673882fe9a507e864e4cf0377ef33',1,'arm_compute::test::validation::reference::range(SimpleTensor< int16_t > &dst, float start, const size_t num_of_elements, float step)']]],
+ ['rangedataset',['RangeDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#a8c87c8a244d6842642bdbcf8873b1e06',1,'arm_compute::test::framework::dataset::RangeDataset::RangeDataset(std::string name, T start, T end, T step=1)'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#abbe90a5f39f36d8160747d349be64f36',1,'arm_compute::test::framework::dataset::RangeDataset::RangeDataset(RangeDataset &&)=default']]],
+ ['rangeduniformdistribution',['RangedUniformDistribution',['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml#acdb30d4796b1e97c4c7edd03da2b690b',1,'arm_compute::utils::random::RangedUniformDistribution']]],
+ ['raw_5fdata',['raw_data',['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#a825ce38606348c854b147f0b19afb96c',1,'arm_compute::test::framework::Measurement']]],
+ ['rawfloat',['RawFloat',['../unionarm__compute_1_1helpers_1_1float__ops_1_1_raw_float.xhtml#aa3817c2ed0584cd3c3c818ff598bacb9',1,'arm_compute::helpers::float_ops::RawFloat']]],
+ ['rawlutaccessor',['RawLutAccessor',['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a240f6b5226a09537d27d812498b20318',1,'arm_compute::test::RawLutAccessor::RawLutAccessor(std::map< T, T > &lut)'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ac73e9acd175097a3afe144cb38c1c648',1,'arm_compute::test::RawLutAccessor::RawLutAccessor(const RawLutAccessor &)=delete'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ab52bde5747185f43a35b851d202dae64',1,'arm_compute::test::RawLutAccessor::RawLutAccessor(RawLutAccessor &&)=default']]],
+ ['rawtensor',['RawTensor',['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a370d2eeb42fcf98ffe3383f1089d48c5',1,'arm_compute::test::RawTensor::RawTensor(TensorShape shape, Format format)'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a895ebe3a982950356cb7d93599e977a2',1,'arm_compute::test::RawTensor::RawTensor(TensorShape shape, DataType data_type, int num_channels=1)'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#aef0b9d628bdb5fe0a533a20e6c49e29f',1,'arm_compute::test::RawTensor::RawTensor(SimpleTensor< T > &&tensor)'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#ac1b3afa1c0a4618768b43a7a0d930cd6',1,'arm_compute::test::RawTensor::RawTensor(const RawTensor &tensor)'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a5dcfdb740cfee882a573929d51e3cf9b',1,'arm_compute::test::RawTensor::RawTensor(RawTensor &&)=default']]],
+ ['rdft_5f1d',['rdft_1d',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9b8dffeef6fede89bb1d53aa94821357',1,'arm_compute::test::validation::reference::rdft_1d(const SimpleTensor< T > &src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0bf45a393588a4696b3c828dcffb2581',1,'arm_compute::test::validation::reference::rdft_1d(const SimpleTensor< float > &src)']]],
+ ['rdft_5f2d',['rdft_2d',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad12f9453958fc91c32e2ba138bbe85c2',1,'arm_compute::test::validation::reference::rdft_2d(const SimpleTensor< T > &src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8ecde15afcabe3298032697a97f633ee',1,'arm_compute::test::validation::reference::rdft_2d(const SimpleTensor< float > &src)']]],
+ ['read_5ffile',['read_file',['../namespacearm__compute.xhtml#ae0d288429eb20baf6da6109f3a21e6bb',1,'arm_compute']]],
+ ['read_5ftexels4',['read_texels4',['../warp__helpers_8h.xhtml#aba42442a4c991cdbb52727fa370676f1',1,'warp_helpers.h']]],
+ ['recurrent_5fto_5finput_5fweights',['recurrent_to_input_weights',['../classarm__compute_1_1_l_s_t_m_params.xhtml#a35e4b6311397e1f9532fb37560aa9996',1,'arm_compute::LSTMParams']]],
+ ['reduction_5foperation',['reduction_operation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af60a1dac48760822d607c1063ebbe6a7',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor< T > &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab2a6f67d2a23c6ab5a772b303b91afa5',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor< uint8_t > &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af370d00b3b6863d969845ed80a3c03b2',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor< float > &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a53019eeae43ef98c9168ddee974fbb1c',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor< half > &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a63f8f41d2973e8c37088c661ced7f142',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor< int32_t > &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op)']]],
+ ['reference',['reference',['../classarm__compute_1_1utils_1_1_verify_accessor.xhtml#a5e789efce616d0a2398de4c7f57f293f',1,'arm_compute::utils::VerifyAccessor']]],
+ ['region',['region',['../classarm__compute_1_1_c_l_memory.xhtml#a146cb960b44f4b1fb11ef4420382021a',1,'arm_compute::CLMemory::region() final'],['../classarm__compute_1_1_c_l_memory.xhtml#a71ae8f88077f2d892643da1d89c48ac4',1,'arm_compute::CLMemory::region() const final'],['../classarm__compute_1_1_g_c_memory.xhtml#a146cb960b44f4b1fb11ef4420382021a',1,'arm_compute::GCMemory::region() final'],['../classarm__compute_1_1_g_c_memory.xhtml#a71ae8f88077f2d892643da1d89c48ac4',1,'arm_compute::GCMemory::region() const final'],['../classarm__compute_1_1_i_memory.xhtml#ab2258b6ffc84dbbb1894448c4c4ff30c',1,'arm_compute::IMemory::region()=0'],['../classarm__compute_1_1_i_memory.xhtml#a27dab25f7225ed143200b499a0ce27e8',1,'arm_compute::IMemory::region() const =0'],['../classarm__compute_1_1_memory.xhtml#a146cb960b44f4b1fb11ef4420382021a',1,'arm_compute::Memory::region() final'],['../classarm__compute_1_1_memory.xhtml#a71ae8f88077f2d892643da1d89c48ac4',1,'arm_compute::Memory::region() const final']]],
+ ['register_5ffixture_5fdata_5ftest_5fcase',['REGISTER_FIXTURE_DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a26d2c096943c3472db3273f5abff57be',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), data_GB), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), batch_one))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a61b437e2b1664780b6706b6b1b3f4135',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_GB), data_act), batch_one))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2d0142c092bc1c96961cf1ff8b64a536',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_GB), data_act), batch_one))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa4635e5c305c338e9f9544d554fc91d1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), data_GB), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), batch_four_eight))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38b009261ccad458c4835c521ed33a94',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_GB), data_act), batch_four_eight))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a24f2b494f690a28503af0732c67a588e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_GB), data_act), batch_four_eight))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac3b83f97332d0af2c066392c0d0c385a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLCannyEdgeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), canny_edge_dataset), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4ceb722841ee996004f926e323d07ddb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLCannyEdgeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), canny_edge_dataset), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1d7c5c1490675619b518fde0a89c334a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3110d9e17b2fed7a59da5069d55b21f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a71624fad883b263ef7b1551195e19a78',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0c581bbf035477ef229090525ae7d9c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4328aa51911dbced422bc5f1374c97c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8a3d4a326b999635418fd320a069e051',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b3799c76bc466c6423cf2f8a752181b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad503e02071cab2e13ef0801abdd0c341',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a97550db9243678761ddb38280dd826fe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f3062c305e7969eee012cf432c24596',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a124635f8b10320b4455601daf5b3c79e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8403220ebf3aefd218946561bbfd2b97',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4004862c92977b9ff4e06bc3846035b4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2005c37de050ddb1b2d4bb11da0447dd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5a92b3ee2fcc563a0f4a44c078cc05f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acb79998463382b7311bcf059d7486ec7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a49cf83c578e0ba7ba4706fb35200ae46',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d68da6a68164bb16d77d1e557b20d1f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36b6de2d4ed5bf8af8bd535ef38d75fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4b146d2e09231c1471fc2e4bd1f3b128',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a65b32653c55f72770c245d3fa4278121',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a777849e3541e0ee6639bf6e87f1975f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a73e4f62985e7f7ceb19dfe45225d8b67',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a089c3967587901ac53fbae9236078b09',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac70bb2f1a1f8bb55130fc1c8936c5c50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44058bc0e71c0fe1cc60e78efb2c61f2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5d1cefe8a632132b773f0c851663c18a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a37b8e74b53fe13c61a98015e14518784',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86e82e9ff4b88f09f3e6fdcaa648e3a7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 3, 5, 7, 9 })), framework::dataset::make("FilterSize", { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeacb2c4ea3808efe7b53b8c7499fc50e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 3, 5, 7, 9 })), framework::dataset::make("FilterSize", { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a779b3119cea86730153a49fa068d38f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 3, 5, 7, 9 })), framework::dataset::make("FilterSize", { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8dab429067a52460b5ccf7e8b6446049',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(ResNet12FFTLayer, CLFFTConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::ResNet12FFTConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F32 })), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9417b987aac4f6d77fe0108abd72995f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a973ba17f360be01d2e090f8170198171',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a01fb0312846c8e57522e1541901b7c0c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afdc916bf4504c6af319b2cfcb7845c2b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afacf77d173154bfb7ab8fcacb95941b2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5dae5a6368d157c789be6341c2b07f56',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8aabacf89d78613a6bc23acb31b1cda2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae54757aa5a1c17aa54e07e6870583c6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2aed5930b7e89685d562842c50cd1522',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acc33a8b2bd22f6e932d743e73d45ae22',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a41c9e0bb6ed93f1d6cf0ed832ad3f6cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a68b51ca8c47f73e53a2784caec578f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a026ba76d826a3808560aecf0c0862ef6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0af44d42b10be152a26535c7d656fe7e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abde1c68457adfe37e1782ed24ae738ef',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a023437471ee7946587c06790482d4e57',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 1, 4 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a91419c0af2990af4a2a0345bad857b0e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af872c90c8899feafedfec2f3e13a6e51',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac1c0404c57964d104f14ade5aff5a1ba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1fdc6b13682f64eb954a4d4843d1f0db',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aed82491d6fe02b439aa52f565c2cd749',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a785883955ec28a4da99cfb87d75dfa8e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a374381807389133299d7ad40af1f52f9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::DepthConcatenateLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a18d5e3cd4773c56cf110b15f4e531a66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvLayer, CLDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38f1923ee95713989bf0c88f113c6265',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(DequantizationLayer, CLDequantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::Small3DShapes(), data_types_src), data_types_dst))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0dd702fa665a3913967d2358888a6481',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac69b8e819769eab70f8c59c2885e3413',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a670e11cac9944ed7a60800d30b35b862',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44fd9b3d4374ee2eac0bbdf47892dc7b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a21adbb35afcde51a66b4af4046ec411b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad27f2b2d0f3991cc8066efe4f6b2850a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afc8958d43d50bf76cd6bc6510f618a93',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1bf2067685426f4e637e11a153ddf149',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8d7c889387e998cc04d4b5943bd731ff',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a72ce01118174a53114c6244cdace2942',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaff395c00ddf4de60ac3db3fa25dd839',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLEqualizeHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallImageShapes(), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4bf19467c71f190f563eaff509b44496',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLEqualizeHistogramFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeImageShapes(), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86fd448c4518f7bd66c0dde729795bfd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLFastCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make("Format", { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46e71c16217f24cdd0d1f929b4bbc57b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLFastCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make("Format", { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aabb67e728a6e247e536ed05a0a294e31',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(FFT1D, CLFFT1DFixture, framework::DatasetMode::ALL, framework::dataset::combine(shapes, data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a10be2e56e43b568bea27ecb6212c841c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(FFT2D, CLFFT2DFixture, framework::DatasetMode::ALL, framework::dataset::combine(shapes, data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acb90a54a6f00090059efd9fd4ad88b37',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Flatten, CLFlattenLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small4DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a05d179d11539e3a2e103dd8ffcdabb6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Floor, CLFloorFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a83f3fe8598aedfba981fa9f6211282ac',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a70f2866f451484cec556a5f9b081f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4b7ebda47c36e379e7f499bf7dcd39b6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af192f8f19bea0c33f4f1dc95e606b484',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0b725ec1516ff80d3ddb58e190d9f08b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abaaf4150acf57cdb752646732d4a8497',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb6c5a6dad25f46607bf18ba4b8a537f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0ffd1acebad54a188610ebf552682afb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad97aeefe40c8b77ebd52acf5403ba70e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a854bdabe0fa80187acfeed829fcbfee0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7cc4d60e89dcd4148f61e64601cd33cc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Medium2DShapes(), datasets::BorderModes()) *framework::dataset::make("numlevels", 2, 4))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac07c697a9fcf444cc4c40fc74cd3f2df',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), datasets::BorderModes()) *framework::dataset::make("numlevels", 2, 5))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a28897eaf05aeeec9d9c641e8d8c594af',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, CLGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9c2eca4c70bb9efd10046abd0862ca22',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, CLGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf4ac350b9926548b9e5f1733c6f0b50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, CLGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a67758981e21ab8f0fe4766925534bf1b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetGEMM, CLGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af1d48e15c7be8a45c2b728b5c3f06941',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::ALL, datasets::GoogLeNetInceptionV1GEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8efa7963298d783c90a889a0641316a9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::ALL, datasets::MatrixMultiplyGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a75cd4ecf15af3d69df876354170802a8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::GoogleNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6487e1c6181335668af736618fd75175',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::AlexNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac347366b1dc3027a3847eac3bf962411',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHarrisCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make("Format", { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5c55e4bdf921ddda690999fc748dcc9c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHarrisCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make("Format", { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac7fe5491a602d21f43582a6c152c6405',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a639dead2c294e70a02dba42d89fc7470',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Large2DShapes(), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abdbb1a633319ee35e084693b7030493d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make("Format", { Format::U8 })), framework::dataset::make("BorderMode", {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a409f567eb6680bbbb5295c993a5b3d4d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make("Format", { Format::U8 })), framework::dataset::make("BorderMode", {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8e3e503c2b7a815297d82efc8c1961a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make("Format", Format::U8)), framework::dataset::make("BorderMode", {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ea346443c42892bee3bff51d66ae13a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make("Format", Format::U8)), framework::dataset::make("BorderMode", {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4c52e79075ee58c3c54e2b7e41b4f68d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make("Format", Format::U8)), framework::dataset::make("BorderMode", {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make("NonMaximaSuppression", {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa381c21349af741ca7c38fe21fc839f7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make("Format", Format::U8)), framework::dataset::make("BorderMode", {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make("NonMaximaSuppression", {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a83e00ebc65cd94796350dc272aef03e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLIntegralImageFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab94a4e2729a6b05fc3c325ed7ac9baba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLIntegralImageFixture, framework::DatasetMode::NIGHTLY, datasets::LargeImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afca07124af826e617eec131efc75f432',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, CLL2NormalizeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallShapes(), data_types), framework::dataset::make("Axis", { 0, 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8ce2c014f648c6edb61311522edee4ef',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, CLL2NormalizeLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LargeShapes(), data_types), framework::dataset::make("Axis", { 0, 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a768eb9c2b8ff754ad9874cbae0551acd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1cf8721318bc0e99364e7fd7c7131d16',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afed3b37f0d366e14275f0e7bc3dd57c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a303febdbb0bd20fcb08e1e9c01204a41',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a767bb4c24d3f10ef8f7df1998a7f751e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLocallyConnectedLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a25762e1bd63d9d9ea61f686c305ddcb3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLocallyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae9a1f8a5b4ec0e76d13b4ce08981042c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMagnitudeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make("Format", { Format::S16, Format::S32 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a08a02d4645daa35c8682275ebd4b7631',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make("Format", { Format::S16, Format::S32 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2d30a95563225783604f9bc4875500c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a34a6a00d941e068fe8f68339ba34eae7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a298337d558d3140fbc6977ffd1dae318',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMedian3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a37cdd43d4e3ee5d24219b8e598b0f358',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMedian3x3Fixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8349a4aadac8be7ebb481554c9d9b85c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7eb5f5ab11becc4bb26ab739b98214cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3dd9b9d119081dd23818b83fee75fb28',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af31dc32801e13b57ef0ba8b7c6b3d445',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acdb5d935210462b730906adfd2e166c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acec794dbb7f6c77bdefa188d83fc80c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af184664dd6a26cf0033aaa08086c8166',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make("Format", Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa02e5ce562079aab339c3ba2621119be',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make("Format", Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a02ca91a6c0d63e1205a6a0b27cfabd56',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLPhaseFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make("Format", { Format::S16, Format::S32 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6d94743ce734d38d1d13fa3176f10778',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make("Format", { Format::S16, Format::S32 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac72a34207876080af72a11fc15e486e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa1fafc76fe74ce2a8778aa356d400d55',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a72dcaf1318a784cfe7a53c9ac27203',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af40b5ded15ece77611fd323c401fb826',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af5de9e9950e88b4f8ae838606730e330',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a97a5c3434c3234e4b1f4bb4729d4f610',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4d4104e5bf2e89104503e1605970b701',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a32d46130028346966574200df4f3400f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adaeac2f5f2b60f6fcd6162630049ef1a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a23ab205742fe9cc0f257a43f11351e47',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44462bfadb6a17d68d22603e2bc21ee3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a306992d7991224f6c93ab2bd2cb8cc82',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a71ac9d0528424387587a34c8de12c93c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad32c7c18d077ec839615f4def1d36873',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a72137eb08df4d9f86b665d896e423c79',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(QuantizationLayer, CLQuantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small3DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abd2d66b69693b552fe2b2de99dae7ccd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLRemapFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36a07a6af470661e63ff9c3629b4d5f0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLRemapFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a645c5d8049df6be8802127b5a0f5dc6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(ReshapeLayer, CLReshapeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaf09547cb7c655a676a5820cc4ca8dee',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayerHalf, CLROIPoolingLayerFixture< half >, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make("DataType", { DataType::F16 })), framework::dataset::make("Batches", { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a462f553ba4c003d4eee2f06e27449db4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayerFloat, CLROIPoolingLayerFixture< float >, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make("DataType", { DataType::F32 })), framework::dataset::make("Batches", { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8f885760a2999df64ef74af8896f4752',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallImageShapes(), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("DataLayout", { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9006364fe01ad6003b9fd1e22e867f8b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeImageShapes(), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("DataLayout", { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a20b94f15214d7c47a2f3c5a789e4239d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab7f0b47566794de8a1eba850c8a70de8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adbc6f044a841d3be870c15b2ddf20d14',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a00327218cc49bc03f3b6212e511cd941',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab40fb86088d18a1e1bb742593058659e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae5fb384579f031f7e2ca6a6c9e9a7bb9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae7a5d7731ec1b78a57f8df17faa165cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerSmall, CLSoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab7309826f753a35d7d0b6894761ecfd3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerLarge, CLSoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa93e0813e4037a192c5e89ceb98c4597',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(framework::dataset::concat(datasets::Small1DShapes(), datasets::Small2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a78edddf8941fa2a0f3641a30b7473330',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::concat(datasets::Large1DShapes(), datasets::Large2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a784d4dd06dfc9cd36022f140d40255eb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpAffineFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a28838403c9e6de78e0174642f248e640',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpAffineFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3ed4058cf4b82dfdebbcc6e78a60678b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1dfbc031d0c86142e4239822adf1ec66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a77b744f692f8c35220a1d905167dd262',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4133c8b0f564ccdeac225da89824553b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a301b9aab3b47acf98c9ffbea1269911c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1048ec999ae340208e1a1c033a43675d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adea7f909fbd3e5d3e6c40ac5d1879719',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1557ffc6ba536038b0d16352a980eef4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2f639b10dd9b08c65f8b4c93e22f66bf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2811e81083eb58ab85993bde3af7a4b2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8cc83b705ff514d8f5534e7da588a55f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a3f8948e3799baed18ea97248e933c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a53825ad938117a261152614438c64d50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abfb690d2582dccefbb12aabda917aef6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a92230b6b1264f0e6b01cfca16d6535fd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2bbd1a50f47699e52c948b924c0cb04f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5a15420ab3c4bbd1b6b97f96ee053960',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma", { false, true }), framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afdae3be6b069fcfa0a96abb07525f114',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma", { false, true }), framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb121ec66d22b16ff2ae61dc4a8757a9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma", { false, true }), framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae115f392f75c49dd88d7fe3f2567b4d1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma", { false, true }), framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a114488245626540cc9bc1a825b35fb25',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma", { false, true }), framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3491046a5c9d60cf61951f28260a6fda',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma", { false, true }), framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aff2e32d5a461c91f9971cc5f18890f14',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47dc5b272eef08d8b7fdf3d3436fd6d7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95c5d5e904babdb3e0adacbad8bb8bb3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9e882d1266e97a481ddd86ce669c92cf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abc9d22356774677325ff5d65a70c50f4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aad4b857f8ad9cbade31224b8fd691ffd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a76af6c8c914c3c17f0dac65effb4a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6135ec380c0a7b25d6c7e07a4de27873',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa5cc5415b680552469fa19120c900114',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ead4fe11b3040de16a9e44d1d427af1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab018c842ba3a92c9d61d90ca072b3022',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 1, 4 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5b5cc1ee4163f7b272b4b01bb244609d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aef09be0f2985dd43a15ff2aa234d82af',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvLayer, GCDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a06df6e45f8c921a073b0d4be3c8ef602',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a301c57132c04f7b04226118f82f9e39a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#add78c3dd5bc0df9ec1756824cfa78805',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adfa88b04c050b541d8d4119884e7ebc1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1dbe0bb0f37a3b84fa666d7ca16f6cbe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1547c664856478b2b22737445af290ba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae601e98ed76552b28b4a31c3ba69b762',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f31c2f9a85c4b2b80475aae58655b6a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae78c5cdebb118dfe13665532177192f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aec64960568d02b312e41476346b583c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a300e663e27206e0b4c86cb86b5c79227',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a09732c26c355eee11819f4a82707fa50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9ebef23e7eb9aa4b8830701796dd8ae8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adfd4f132a85967837490b52c10546879',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a61889832d8d8dde590f6cf89c684368c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a08de795101191f4855d91695dd4c9252',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a41ee1666a1552bcdaff9b8ece34da221',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad188d3a8f5f935bd7f3a76a5d01cfa1e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1cca624618c04b68b590a11c25aa6991',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a924d18348cb58e58237cb8166eb5f89a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acf1f53b508211bdce9df8f414d7631d0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, GCGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6f7cb8f52316219cc1aa283f62974e84',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, GCGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a728cadcb1212e943b39b36991782cbda',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, GCGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47b7b455c07d599085a0a542b9b2fb94',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4NormalizePlanarYUVLayer, GCNormalizePlanarYUVLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46a465db5b9971a1c8fd7565f662d84d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a31abe9383857109b70df7ce609e7dd98',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3819a5acaf865c8e1ef0ea2db1c20b89',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac090413c838baf960868dd77ed4b9f02',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af8b0084d13fd87fb5ff49680a0be7757',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae8875137faa40cc6ec1ac1e2f9bdd405',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac46fd1e4ec1f7e81e40a98dc1f65260f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7e685e7da2bc543450b1e0ca0d7aa421',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a65f9b4d1f9d65090766c9a2d47d3be4c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab782809f4a63350a671e38da61888ccb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a82524eed2c8d16db8611512881da13b1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae4637a919829ea2404b266155a578cdd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad92aa2e55292d58a8dfdcf8f1aee19a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a03d0cd3ce5a722b28590e2994cb96ad9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d1cfb07aed28f2eceead2e9fe638f09',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallScaleLayer, GCScaleLayerFixture< half >, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallScaleLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a24c2c410f8b24d6d20b66a3f8f89e6bf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LargeScaleLayer, GCScaleLayerFixture< half >, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::LargeScaleLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47b6123139b38becb150b3c6951f6340',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayer, GCSoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf9cd56222ef78a33a938c301bf56338',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayer, GCSoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afe85d1bcce6077f33f0faf9299dd5d76',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a30e82c7a9c701ffc580f8f78450edb63',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae2a4f34d394cf250046374e9456099e9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad6b485d855f34043c09be7efb438cfc3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a194ce865169bf399932dafeafc2c2415',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a80f6971287fad7f1104d501d951ed905',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af187c18fa8b1e30e140926d7e808d433',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad3dd59ecea895a1b783a49e00a5067c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3cd53ae7bbc8025595e65ef8cdefa531',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8bf01762a593a19b5907ecdc99de57dd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1990f5acf59bcbaeb2cd0951c4779c3d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2a2e751a377da9a31eef6960da4cfc3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86764fdd8961d92d8065366d5245bd6c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acfa87d4b24c094169da9bd340ce98280',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8aa94d36ece5e7970d0168c173e3ad3f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acf80bd27d4a6c988f22f89d2667e77fa',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3704657a587916b2b0f688082b53fa6d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a17a9073f5270b0d202815413a541cc80',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a09f8fb04a7375bf4a0ce27af805911a3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma", { false, true }), framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a80860945328cd5da627d979d5c0485ae',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma", { false, true }), framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace12ed82a92dce7a3bc3ffacb6b7e58d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma", { false, true }), framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a16f671e2af5cb9687d10393a9495acc7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma", { false, true }), framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a727091446d370d4c533f7fc4267ef6d7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma", { false, true }), framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0a10501d43bf31dde16815cdcb223984',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma", { false, true }), framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a93331fe3f64bef02fbf8689e004ea926',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NECannyEdgeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), canny_edge_dataset), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3c9d1c42998e67b51cd4f9c8fef58709',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NECannyEdgeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), canny_edge_dataset), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4adf2c31c9668a635ba7a16620eac36e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a177a877f56d3311b7f4bd4d7f24b19fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0de424b12484ba2cad2fb4aa5e0a840a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8f7df98385513ab246a09f26ec53f7d8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad14a5471a936562e38e9443b3fc80dc9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ada77cb4a0d44ccda26b8770188e9bf6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb0f8798014e59e07214939e62a88172',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1d06c39d80a4ed2e52ce9f071760b5f0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d0a8409b71d2cd895507345570ab736',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abda62451c0731d19b121142c69d575b6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a87a623a31a7e1be53583999dbd81b0ec',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abc0656cf27fc23a2b77a2a37eacb2c27',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac9fee2e9fde80ef64eeab5295d49198f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abdec8ccdaf630613d37cd4923c98093f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46f8d142c65bbea99e44da409807c761',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa642990b61d14397ac4bfa6900f98188',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a229c50f5995c6fb037a0fbe6496b942e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a15211414bb92e3100470dc74a5d39a0f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a557bfa30aa3ff122c773f64f487bff42',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ade6bf311a285336931b6265819eba73c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a52e53990877cd44d2ab1c236c2c83c76',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6a3f2454c7c432c9ee688590ea2178f8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a31536797434dcde02c80e3f3a0296300',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a07c625bb00238c503b8cb61e6b4efba5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a79f2694d9c9b93236bcc627d4f53377c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38961bb09686a79e580e8dd04d0006cf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ed302d084b8a7f4a9ff088cf53694e1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0e09ab22541be863c2e1044e96448ae8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac37dfb4d68f4e9b7dd53f022d3a71ca5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 3, 5, 7, 9 })), framework::dataset::make("FilterSize", { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ff0a8211ae74af972ba9254ac68088a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 3, 5, 7, 9 })), framework::dataset::make("FilterSize", { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8ccfb3ac37783e9edaa794bd932fc10f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("FilterSize", { 3, 5, 7, 9 })), framework::dataset::make("FilterSize", { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a505b7c1500ac3452e7326207a00c9dc2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(ResNet12FFTLayer, NEFFTConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::ResNet12FFTConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F32 })), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae64ea047f5fecc53c38f44edfc2f9e2f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4289ff786f50f37426620089776e4e51',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6e9ac9c1caa8ef81f7a49cadfd3f566e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7d7d9dab9b30acc5be85c0cafc665f3c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeaa7ae7e6c5bcab28477975a78a4a615',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeb5f6615f1eed518fd622d512a0f52bd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acaa44fb5402f3a53408ca20473ebee7e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a120a0568f2011c0f2662cf2f635d6a92',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa24183d5951a857dc215ea274d972ebc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4880fe8eeacc7495b786b047253c2343',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2cc7903afaf24db2e46932282848f046',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad1aaab2bc13204f6628293fab8b81c23',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a25703347a0c587f054c3d45d02876248',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab287ad2324d4647a052a9ddcc653e372',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small3DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a645fb0a5cdd1bdd921af63c7d534374a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::ConcatenateLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ae2d33127b4e582a68d072b3569a7a1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(DequantizationLayer, NEDequantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::Small3DShapes(), data_types_src), data_types_dst))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a35b38e85b1472199517852b2a08f3de5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8df5d9aaa2811d4f3e08406689ff34d8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7093f92dbaff59384b610ddf5190e194',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a17ffb70ec6a66463634d219e4683da95',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af80fea95594b6c37134e8dbad8a3d09b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a697d50481845dae362eed1cecce8a85a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afd91714995b912e44692139f9f7917f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1929ec4e9f107b414583906f986d8571',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad11bc1cc961bcd4fd3228280e8ded24c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7d00b1986a7944db488cdeeaf50f32f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a13d5d02514a1b4987e5697a56695d418',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESinLayerFixture< float >, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa649bdb1f0e0e26924a34e6342758e17',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESinLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3dcda471facdd859544dba0e88d73c29',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEEqualizeHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallImageShapes(), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ce4636544f6f3aa1eb2a5ad1265c9ce',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEEqualizeHistogramFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeImageShapes(), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf22ffe7b0feee1f55b07d918953c1e5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEFastCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make("Format", { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a16dd7600cea9274280c53f3b2374018d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEFastCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make("Format", { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a770e4bc39b7b6527b7004cb1947a9a5b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(FFT1D, NEFFT1DFixture, framework::DatasetMode::ALL, framework::dataset::combine(shapes, data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad66bcfcd49e2ad20541791cd9f844e1f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(FFT2D, NEFFT2DFixture, framework::DatasetMode::ALL, framework::dataset::combine(shapes, data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af87e31c7c9788c66acfa2b37edd303cd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(FlattenLayer, NEFllattenLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small4DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6426d9dab3e82b38f5b47c8eb04aff96',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Floor, NEFloorFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1e674082c974b9a273a1a6c49d2dc878',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#addfb561cc0a06a5c08fc650f6a5a7ad9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2c5501211b852813f78d003ff62de167',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad1d0001ec4a8ee0902c476630f9c5c3e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a170cbe81df505d952fa5d37a5aa69fc8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af44a72e7bb01707603a88217ab068e10',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a753d5f7db47643e3d4bfb636fcba2641',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7ac1a0e4495c15edecb866448ac0ef11',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af0ef4c568a945a479c090b9f5f6c9216',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af30496a8f903bf030a46e301ad3d37e4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abfc83e6a68ae2bfa9028fe1f4f4f9489',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Medium2DShapes(), datasets::BorderModes()) *framework::dataset::make("numlevels", 2, 4))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4130928c451203d11b950d806033a3da',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), datasets::BorderModes()) *framework::dataset::make("numlevels", 2, 5))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab20fc35760f27f4188de749a820955ec',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afa18e5d4c46dcd54694860f26ed45aa8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a349033f2a23697ed336112498589ae85',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, NEGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f26adaebbdf28ebe92a33a8a4e833e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::ALL, datasets::GoogLeNetInceptionV1GEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac5e8fe1ef996dfe0ec45e8976fa16aa7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::ALL, datasets::MatrixMultiplyGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a410d3f62b50597ac16057cc8553c9b4e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::GoogleNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aad65e9549e68a0293552a8b73130d8fe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHarrisCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make("Format", { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab56c4df58f3f00d41df0eb7af2e4433b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHarrisCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make("Format", { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8119c95e4a5f59485a98082cb62130b7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a84684a7158dec308c7f3fc75d03c0e10',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Large2DShapes(), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab33fdf235a708613adfb53d1b7db5739',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make("Format", { Format::U8 })), framework::dataset::make("BorderMode", {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac9dc9d705611669b387e0ec0db1fed1d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make("Format", { Format::U8 })), framework::dataset::make("BorderMode", {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7cfc1a0822ec74c78c85170085b4a166',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make("Format", Format::U8)), framework::dataset::make("BorderMode", {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a02d388ce0aaa3f046acc5005e74a4da3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make("Format", Format::U8)), framework::dataset::make("BorderMode", {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a57528fa93bdde8a61964014f39865021',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make("Format", Format::U8)), framework::dataset::make("BorderMode", {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make("NonMaximaSuppression", {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a04f4f6ca47e16cdf5a94b740a8394d01',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make("Format", Format::U8)), framework::dataset::make("BorderMode", {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make("NonMaximaSuppression", {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae7d62fc3fc234b6b8ed133d02a152e86',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEIntegralImageFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a445627eab55cf7e8d35a3d6b8012db57',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEIntegralImageFixture, framework::DatasetMode::NIGHTLY, datasets::LargeImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac8f6101af27d1155a895622fce95bbda',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, NEL2NormalizeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallShapes(), data_types), framework::dataset::make("Axis", { 0, 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa38dcc0de5d1e5aa54d690c859002e2f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, NEL2NormalizeLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LargeShapes(), data_types), framework::dataset::make("Axis", { 0, 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a833c2620a79106b76c9e1edab3e7769c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad85f4086eab6de98194f326a4b635450',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a227fe287f288276cd9dc8538cc6d3fea',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9bddb5e41b925cacac06899120495b54',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7ae24eef22cb5f8f964a60a61cdaa453',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELocallyConnectedLayerFixture, framework::DatasetMode::ALL, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab6fdadbf82a2d2bdcc1e241abf0b5501',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELocallyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa1e1822e12bfd1cd8521817f806e278f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMagnitudeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make("Format", { Format::S16 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95b806569fe42bd36910e21d1679a786',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMagnitudeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make("Format", { Format::S16 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b7b29cde73a0869c1a29a3cf4b7fdd4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2ec80a73c4d2985f707e942343b6606',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeee4ba3016231917563b40f161815430',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMedian3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af714566539a21e39c124940925978f9e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMedian3x3Fixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6c541608c6fedf7043ff687fb2e027a7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae3bdd2d29095692096ce524edac7e516',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaa6f215191d7304e523d8bfab9bf517d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7afa86fe61a4d4a0de8ae9456fb3d9b8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8cb2c48b101fa61581a643a61feb6522',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a57bfc96665657ab37d10af783791cd01',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4f40a5cef95f9852dde086ef4574aa11',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make("Format", Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1403a63e94c3197d93ed462e1128b1fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make("Format", Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2fd8bdc1e846dbaf420b2cb172f7524d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunF32, NEPaddingFixture< float >, framework::DatasetMode::ALL, combine(combine(combine(Fssd_25_8bit_ShapesDataset, framework::dataset::make("DataType", { DataType::F32 })), PaddingSizesDataset), framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af43a8bfb42d3be576ebedbec06efb6cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunQASYMM8, NEPaddingFixture< uint8_t >, framework::DatasetMode::ALL, combine(combine(combine(Fssd_25_8bit_ShapesDataset, framework::dataset::make("DataType", { DataType::QASYMM8 })), PaddingSizesDataset), framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aefa2bb4e6caf6e34154827361a0705e2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEPhaseFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make("Format", { Format::S16 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af24caacc20302d86a5776ce647aecc8f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEPhaseFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make("Format", { Format::S16 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a8c93750692d748602976a79d63a409',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3c3bb6166f756cef06811f326a7d9c46',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae860380f4b6dbc090d8e71ba36e4fdd8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa0daa8f9d0d130847b947fd4ae56e919',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a30df2f9e500ac44da9b82fa64c640731',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad67e44287b7094f5c28234c64dedf83e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a04fa5154efc283b2234ab8fb44869176',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2e2dc939e5f46c7f75019f1db788c34',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a747d9bc055986e09d11565be07a8ce31',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa7c44a359be63e92bb39253dd4d2724f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aea7e4ed3efceb7e41c2bea91235ff0b4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a157e951ba958c0f8fd985b6a056a19f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa20951eb44cc8a80c022752025a9c64a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af1a415974472765d6985031853420a7f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make("Batches", { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ec9e5d7a877be057d6dd4cf14a92b66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(QuantizationLayer, NEQuantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small3DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a716888d24c4863d6af8b757c22be524a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NERemapFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7984b4301667b336d9230bd3666352c2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NERemapFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95843823aad3b52cbd8a573573a7896c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Reshape, NEReshapeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a163aa89fe219b033b59a1163a6b3dd9d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayerFloat, NEROIPoolingLayerFixture< float >, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make("DataType", { DataType::F32 })), framework::dataset::make("Batches", { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3fc4871eea05243c9bd01a5e0043b7df',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallImageShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16, DataType::F32 })), framework::dataset::make("DataLayout", { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), framework::dataset::make("SamplingPolicy", { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace4720989cea42c4f2ef64175355fc52',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeImageShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16, DataType::F32 })), framework::dataset::make("DataLayout", { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), framework::dataset::make("SamplingPolicy", { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad4f51211d330c936ba68a9e6dcd5ecd7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a48888b1f732b75f9e0c3f52b2eca3b35',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace95c1e9ff286e28d94624830f3b8eb1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2efd8b626becc95cc4c683cea7bcb0ff',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a59b7b4c2043abe77363c1026b836f6a1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aafc4ce2982d2cad5106de5cec8b78ebb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make("Format", Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adcc030b3d6973f4cda3e6346f36601f2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerSmall, NESoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1ee133304fd83360d6082e5110e45dbd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerLarge, NESoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adab32c907c1b1085676f7bd8467e31c6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(framework::dataset::concat(datasets::Small1DShapes(), datasets::Small2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af02a31727fe5148b0e6738d341127f16',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::concat(datasets::Large1DShapes(), datasets::Large2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8c90cb4df98ef8f2fdceb6c2065accfa',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpAffineFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a085f4c3829fae0cd8cf50b2a5d7bd425',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpAffineFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), data_type), interpolation_types), datasets::BorderModes()))']]],
+ ['register_5fgroup',['register_group',['../classarm__compute_1_1_i_lifetime_manager.xhtml#af9aed2d52d9469aa2a49f8c7ece1f082',1,'arm_compute::ILifetimeManager::register_group()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a93fc2c6a7ebb5d8f44c67d492347d054',1,'arm_compute::ISimpleLifetimeManager::register_group()']]],
+ ['register_5fpool',['register_pool',['../classarm__compute_1_1_i_pool_manager.xhtml#af5ecacf4a9d67777dacc2bf917a52db4',1,'arm_compute::IPoolManager::register_pool()'],['../classarm__compute_1_1_pool_manager.xhtml#a40713b55ad2d6ddb4ccead1f9e535a05',1,'arm_compute::PoolManager::register_pool()']]],
+ ['reinterpret_5finput_5fas_5f3d',['reinterpret_input_as_3d',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#a00330b8913cac3b07029ac0c3350e806',1,'arm_compute::GEMMReshapeInfo::reinterpret_input_as_3d()'],['../classarm__compute_1_1_g_e_m_m_info.xhtml#a00330b8913cac3b07029ac0c3350e806',1,'arm_compute::GEMMInfo::reinterpret_input_as_3d()']]],
+ ['relative_5fstandard_5fdeviation',['relative_standard_deviation',['../classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml#aae553cf57322b9e4e22ecc325233e1e8',1,'arm_compute::test::framework::InstrumentsStats::relative_standard_deviation()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a9666a65078cee68787a9aad555ad0793',1,'arm_compute::test::framework::Measurement::Value::relative_standard_deviation()']]],
+ ['relative_5ftolerance',['relative_tolerance',['../classarm__compute_1_1utils_1_1_verify_accessor.xhtml#a666345f7004743b3470c4c9fda6bce80',1,'arm_compute::utils::VerifyAccessor']]],
+ ['relativetolerance',['RelativeTolerance',['../classarm__compute_1_1test_1_1validation_1_1_relative_tolerance.xhtml#afba8d635945ce2a2787199919de28572',1,'arm_compute::test::validation::RelativeTolerance::RelativeTolerance()=default'],['../classarm__compute_1_1test_1_1validation_1_1_relative_tolerance.xhtml#a646bf2ba26847ea66d436ae933883c73',1,'arm_compute::test::validation::RelativeTolerance::RelativeTolerance(value_type value)']]],
+ ['release',['release',['../classarm__compute_1_1utils_1_1mmap__io_1_1_m_mapped_file.xhtml#a23b477d0e2d399f75d585d154c346591',1,'arm_compute::utils::mmap_io::MMappedFile::release()'],['../classarm__compute_1_1_blob_memory_pool.xhtml#af47c67ca8d1961b09543879bb734e8be',1,'arm_compute::BlobMemoryPool::release()'],['../classarm__compute_1_1weights__transformations_1_1_c_l_convert_fully_connected_weights_managed.xhtml#ad7ed3842c3160ae4b9f51acbf4564438',1,'arm_compute::weights_transformations::CLConvertFullyConnectedWeightsManaged::release()'],['../classarm__compute_1_1weights__transformations_1_1_c_l_fully_connected_layer_reshape_weights_managed.xhtml#ad7ed3842c3160ae4b9f51acbf4564438',1,'arm_compute::weights_transformations::CLFullyConnectedLayerReshapeWeightsManaged::release()'],['../classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#ad7ed3842c3160ae4b9f51acbf4564438',1,'arm_compute::weights_transformations::CLGEMMReshapeRHSMatrixKernelManaged::release()'],['../classarm__compute_1_1weights__transformations_1_1_c_l_convolution_layer_reshape_weights_transform.xhtml#ad7ed3842c3160ae4b9f51acbf4564438',1,'arm_compute::weights_transformations::CLConvolutionLayerReshapeWeightsTransform::release()'],['../classarm__compute_1_1_i_memory_group.xhtml#aab0a52fdd148a54108e7bf49287d7c47',1,'arm_compute::IMemoryGroup::release()'],['../classarm__compute_1_1_i_memory_pool.xhtml#ab9d340d42cc3ec933f5da369f1f808bb',1,'arm_compute::IMemoryPool::release()'],['../classarm__compute_1_1_i_transform_weights.xhtml#aab0a52fdd148a54108e7bf49287d7c47',1,'arm_compute::ITransformWeights::release()'],['../classarm__compute_1_1_memory_group.xhtml#ad7ed3842c3160ae4b9f51acbf4564438',1,'arm_compute::MemoryGroup::release()'],['../classarm__compute_1_1weights__transformations_1_1_n_e_convert_fully_connected_weights_managed.xhtml#ad7ed3842c3160ae4b9f51acbf4564438',1,'arm_compute::weights_transformations::NEConvertFullyConnectedWeightsManaged::release()'],['../classarm__compute_1_1weights__transformations_1_1_n_e_fully_connected_layer_reshape_weights_managed.xhtml#ad7ed3842c3160ae4b9f51acbf4564438',1,'arm_compute::weights_transformations::NEFullyConnectedLayerReshapeWeightsManaged::release()'],['../classarm__compute_1_1weights__transformations_1_1_n_e_convolution_layer_reshape_weights_transform.xhtml#ad7ed3842c3160ae4b9f51acbf4564438',1,'arm_compute::weights_transformations::NEConvolutionLayerReshapeWeightsTransform::release()'],['../classarm__compute_1_1_offset_memory_pool.xhtml#af47c67ca8d1961b09543879bb734e8be',1,'arm_compute::OffsetMemoryPool::release()'],['../classarm__gemm_1_1_buffer.xhtml#a3299507dea21c693b66a23c77bfc3a7a',1,'arm_gemm::Buffer::release()'],['../classarm__gemm_1_1_buffer_manager.xhtml#a29a2894a4403bc4cc19aacc35cb91d54',1,'arm_gemm::BufferManager::release()'],['../classarm__compute_1_1utils_1_1_j_p_e_g_loader.xhtml#a23b477d0e2d399f75d585d154c346591',1,'arm_compute::utils::JPEGLoader::release()']]],
+ ['release_5fbackend_5fcontext',['release_backend_context',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#aa24d3f58d6e9c1d8c171d25defcdfb54',1,'arm_compute::graph::backends::CLDeviceBackend::release_backend_context()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#aa24d3f58d6e9c1d8c171d25defcdfb54',1,'arm_compute::graph::backends::GCDeviceBackend::release_backend_context()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#aa24d3f58d6e9c1d8c171d25defcdfb54',1,'arm_compute::graph::backends::NEDeviceBackend::release_backend_context()'],['../classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#a449129d5832bab24106f9f67583dc8a1',1,'arm_compute::graph::backends::IDeviceBackend::release_backend_context()']]],
+ ['release_5fdefault_5fgraph_5fcontext',['release_default_graph_context',['../namespacearm__compute_1_1graph.xhtml#a9562c1c1399af2f10714a7d901e19311',1,'arm_compute::graph']]],
+ ['release_5fgroup',['release_group',['../classarm__compute_1_1_i_lifetime_manager.xhtml#a3f4261f28eada7ef0bc83053b55bee8c',1,'arm_compute::ILifetimeManager::release_group()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a2f3b9c36674e2c4097552d9ffb30fbf2',1,'arm_compute::ISimpleLifetimeManager::release_group()']]],
+ ['release_5fif_5funused',['release_if_unused',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214',1,'arm_compute::graph::backends::CLSubTensorHandle::release_if_unused()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214',1,'arm_compute::graph::backends::CLTensorHandle::release_if_unused()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214',1,'arm_compute::graph::backends::GCTensorHandle::release_if_unused()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214',1,'arm_compute::graph::backends::NESubTensorHandle::release_if_unused()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214',1,'arm_compute::graph::backends::NETensorHandle::release_if_unused()'],['../classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#abbc6c72c0ecfa294674f11e9e63a7779',1,'arm_compute::graph::ITensorHandle::release_if_unused()']]],
+ ['release_5fpool',['release_pool',['../classarm__compute_1_1_i_pool_manager.xhtml#afb8e8d8fbcedfdb45e2b0c07571dd987',1,'arm_compute::IPoolManager::release_pool()'],['../classarm__compute_1_1_pool_manager.xhtml#ab8959b1c8bd6265ff3d39623db34505b',1,'arm_compute::PoolManager::release_pool()']]],
+ ['release_5funused_5ftensors',['release_unused_tensors',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a28280ac6b0db4c2385ac8c18a4ad8f3c',1,'arm_compute::graph::detail']]],
+ ['relu',['relu',['../structarm__compute_1_1detail_1_1relu.xhtml#afa289c53544950f1d702ac963124a5c8',1,'arm_compute::detail::relu']]],
+ ['relu_5fop',['relu_op',['../activation__quant__helpers_8h.xhtml#a75e592782269093560081144973b1227',1,'activation_quant_helpers.h']]],
+ ['remap',['remap',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aed42c1608aca814177de65bc078660c9',1,'arm_compute::test::validation::reference::remap(const SimpleTensor< T > &in, SimpleTensor< float > &map_x, SimpleTensor< float > &map_y, SimpleTensor< T > &valid_mask, InterpolationPolicy policy, BorderMode border_mode, T constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae76991329781f552c3a2d66a9dd5af79',1,'arm_compute::test::validation::reference::remap(const SimpleTensor< uint8_t > &src, SimpleTensor< float > &map_x, SimpleTensor< float > &map_y, SimpleTensor< uint8_t > &valid_mask, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value)']]],
+ ['remap_5fbilinear',['remap_bilinear',['../remap_8cl.xhtml#a1d771133d1dfea450fdbacda1c34ce49',1,'remap.cl']]],
+ ['remap_5fnearest_5fneighbour',['remap_nearest_neighbour',['../remap_8cl.xhtml#a786803611cc128275d32d9584376713e',1,'remap.cl']]],
+ ['remove',['remove',['../classarm__compute_1_1_dimensions.xhtml#a3e0f41c0e7278cadd08bf9216623ada3',1,'arm_compute::Dimensions']]],
+ ['remove_5fconnection',['remove_connection',['../classarm__compute_1_1graph_1_1_graph.xhtml#a4c8c62ae543a38ec4aac8f1a167fbb51',1,'arm_compute::graph::Graph']]],
+ ['remove_5fdimension',['remove_dimension',['../classarm__compute_1_1_tensor_shape.xhtml#acb74edf42335de0dca0da5158b704c4b',1,'arm_compute::TensorShape']]],
+ ['remove_5flogger',['remove_logger',['../classarm__compute_1_1logging_1_1_logger_registry.xhtml#a04f9779505522e380dde1c613d9cc9e8',1,'arm_compute::logging::LoggerRegistry']]],
+ ['remove_5fnode',['remove_node',['../classarm__compute_1_1graph_1_1_graph.xhtml#a09f8d22de4cd2a2881730ad58096c7c1',1,'arm_compute::graph::Graph']]],
+ ['reorg_5flayer',['reorg_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae1f5beb81386b778b885aff723e6ebac',1,'arm_compute::test::validation::reference::reorg_layer(const SimpleTensor< T > &src, int32_t stride)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a686f6c85f504943e52d8c31bf0901cfc',1,'arm_compute::test::validation::reference::reorg_layer(const SimpleTensor< int32_t > &src, int32_t stride)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae45075f9ad201b87cfb3b13ceb238e97',1,'arm_compute::test::validation::reference::reorg_layer(const SimpleTensor< int16_t > &src, int32_t stride)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a200c0a6470a0c4163afd69c527d2b12d',1,'arm_compute::test::validation::reference::reorg_layer(const SimpleTensor< int8_t > &src, int32_t stride)']]],
+ ['reorglayer',['ReorgLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_reorg_layer.xhtml#a4c1d6ae3354f4dfa1c4e703e8c545dff',1,'arm_compute::graph::frontend::ReorgLayer']]],
+ ['reorglayernode',['ReorgLayerNode',['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#adea3ce500d24b0f4c2abc96809ff80aa',1,'arm_compute::graph::ReorgLayerNode']]],
+ ['requantize_5fblock_5f32',['requantize_block_32',['../namespacearm__gemm.xhtml#a5367d66fa8e4648db3f690e9cfa7d498',1,'arm_gemm']]],
+ ['requested_5ftarget',['requested_target',['../classarm__compute_1_1graph_1_1_i_node.xhtml#afc6514aa006c1820217d9a8d832cc656',1,'arm_compute::graph::INode']]],
+ ['required_5fpadding',['required_padding',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#abec0bfe8236c33407bc339ecba079855',1,'arm_compute::test::PaddingCalculator::required_padding() const'],['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a9fcfe18b4133adc12eb49ebaf0ce9b27',1,'arm_compute::test::PaddingCalculator::required_padding(Option option) const']]],
+ ['reset',['reset',['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#ad39ad962255c717dcd5e53315ae37546',1,'arm_compute::CLMinMaxLayerKernel::reset()'],['../classarm__compute_1_1_iterator.xhtml#a599f5025b7e6b8bfead740a88e56d5bc',1,'arm_compute::Iterator::reset()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#ad20897c5c8bd47f5d4005989bead0e55',1,'arm_compute::NEMinMaxLayerKernel::reset()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#ad20897c5c8bd47f5d4005989bead0e55',1,'arm_compute::NEMinMaxKernel::reset()'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#ad20897c5c8bd47f5d4005989bead0e55',1,'arm_compute::test::framework::PMU::reset()'],['../classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ad20897c5c8bd47f5d4005989bead0e55',1,'arm_compute::graph_utils::ValidationOutputAccessor::reset()']]],
+ ['reset_5fpadding',['reset_padding',['../classarm__compute_1_1_i_tensor_info.xhtml#afc135290818a7ae02d2195c013796fdd',1,'arm_compute::ITensorInfo::reset_padding()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#ad29c039b6f3c4534928ed99aa9f53027',1,'arm_compute::SubTensorInfo::reset_padding()'],['../classarm__compute_1_1_tensor_info.xhtml#a5a80b3a6ae624417617d6a8d3209add5',1,'arm_compute::TensorInfo::reset_padding()']]],
+ ['reshape_5fb_5fonly_5fon_5ffirst_5frun',['reshape_b_only_on_first_run',['../classarm__compute_1_1_g_e_m_m_info.xhtml#a4c8f9fa843de1086c27c86a6b8cf4582',1,'arm_compute::GEMMInfo']]],
+ ['reshape_5flayer',['reshape_layer',['../reshape__layer_8cl.xhtml#acdcb27be2437616997a28a2d8ba45315',1,'reshape_layer(): reshape_layer.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#adeeeba93b83ffdad47f4357c08cfea0e',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor< T > &src, const TensorShape &output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afea45dc2b397b75108739c4300aa18ad',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor< uint8_t > &src, const TensorShape &output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a572f373a0f24d9e7d749454280411318',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor< int8_t > &src, const TensorShape &output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a79a315f543d17f87f44d7b142e1efbbe',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor< uint16_t > &src, const TensorShape &output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1b2ecbb6f4180bb42c65ed575c8fd313',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor< int16_t > &src, const TensorShape &output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a42623cecebd86038ac287252a1ead241',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor< uint32_t > &src, const TensorShape &output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1406fe85a6bec4007f13cc57c4e99767',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor< int32_t > &src, const TensorShape &output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a60d98374b4adcd883653831e70b13b4c',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor< half > &src, const TensorShape &output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac3850e0704ba9d6ef260170e87ca1e66',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor< float > &src, const TensorShape &output_shape)']]],
+ ['reshapelayer',['ReshapeLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml#aa3c4c9fd2bc62c95238f22172e8c10f1',1,'arm_compute::graph::frontend::ReshapeLayer']]],
+ ['reshapelayernode',['ReshapeLayerNode',['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#ad73495f25d71224729f8b237a6a3f9f4',1,'arm_compute::graph::ReshapeLayerNode']]],
+ ['resize',['resize',['../classarm__compute_1_1_i_array.xhtml#ae21b0e95ded2dcfb5e62848ea0193828',1,'arm_compute::IArray::resize()'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a0cafaca7cb86d89b5f20f987448c341c',1,'arm_compute::test::CLArrayAccessor::resize()'],['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml#aa3243d314953e018ebcaf98128068110',1,'arm_compute::test::IArrayAccessor::resize()'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#a0cafaca7cb86d89b5f20f987448c341c',1,'arm_compute::test::ArrayAccessor::resize()']]],
+ ['resizelayer',['ResizeLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_resize_layer.xhtml#a6de958db405f92c48214eedd8c5a2a7b',1,'arm_compute::graph::frontend::ResizeLayer']]],
+ ['resizelayernode',['ResizeLayerNode',['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a23f214610ee778b923f9f9ffc5bf1b3e',1,'arm_compute::graph::ResizeLayerNode']]],
+ ['restore_5fprogram_5fcache_5ffrom_5ffile',['restore_program_cache_from_file',['../namespacearm__compute_1_1utils.xhtml#a394a7513744bff536de8290ce870fd85',1,'arm_compute::utils']]],
+ ['restore_5fscheduler',['restore_scheduler',['../classarm__compute_1_1test_1_1framework_1_1_i_scheduler_user.xhtml#a82cd5cd76f2e24a56b7f0f502d218d5d',1,'arm_compute::test::framework::ISchedulerUser::restore_scheduler()'],['../classarm__compute_1_1test_1_1_context_scheduler_user.xhtml#a91120cee5bba8b80e50ad8fdd3251404',1,'arm_compute::test::ContextSchedulerUser::restore_scheduler()']]],
+ ['retain_5finternal_5fweights',['retain_internal_weights',['../classarm__compute_1_1_weights_info.xhtml#ac9e7f8fc8a688fd119d3fb2892cce6b9',1,'arm_compute::WeightsInfo::retain_internal_weights()'],['../classarm__compute_1_1_g_e_m_m_info.xhtml#ac9e7f8fc8a688fd119d3fb2892cce6b9',1,'arm_compute::GEMMInfo::retain_internal_weights()']]],
+ ['reverse',['reverse',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1936f5feb8c9357acc4555686d4e5cf2',1,'arm_compute::test::validation::reference::reverse(const SimpleTensor< T > &src, const SimpleTensor< uint32_t > &axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a919cf3591c7a0a86389412346be0b295',1,'arm_compute::test::validation::reference::reverse(const SimpleTensor< uint8_t > &src, const SimpleTensor< uint32_t > &axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3092826e827607da8aa2799f2a231118',1,'arm_compute::test::validation::reference::reverse(const SimpleTensor< half > &src, const SimpleTensor< uint32_t > &axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8b105426832fc39c634bdcaf8d5d9a1b',1,'arm_compute::test::validation::reference::reverse(const SimpleTensor< float > &src, const SimpleTensor< uint32_t > &axis)']]],
+ ['reverse_5fiterable',['reverse_iterable',['../classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#a5053b946ca74887955fc65054f6df4e8',1,'arm_compute::utils::iterable::reverse_iterable']]],
+ ['reverse_5fiterate',['reverse_iterate',['../namespacearm__compute_1_1utils_1_1iterable.xhtml#ad093dbcab3409be5ca29a73556df5290',1,'arm_compute::utils::iterable']]],
+ ['rgb888_5fto_5fiyuv_5fbt709',['RGB888_to_IYUV_bt709',['../color__convert_8cl.xhtml#a0e87467985f2b64c5aaf073ee5c64267',1,'color_convert.cl']]],
+ ['rgb888_5fto_5fnv12_5fbt709',['RGB888_to_NV12_bt709',['../color__convert_8cl.xhtml#aa07d313ff115012737d4b522efc6079f',1,'color_convert.cl']]],
+ ['rgb888_5fto_5frgba8888_5fbt709',['RGB888_to_RGBA8888_bt709',['../color__convert_8cl.xhtml#a2a21de930ca0898bed0a081f40cb4406',1,'color_convert.cl']]],
+ ['rgb888_5fto_5fu8_5fbt709',['RGB888_to_U8_bt709',['../color__convert_8cl.xhtml#a25f017c5de97048db44e1a5eb431c32a',1,'color_convert.cl']]],
+ ['rgb888_5fto_5fyuv444_5fbt709',['RGB888_to_YUV444_bt709',['../color__convert_8cl.xhtml#a917c100f2da4a0e773bb63dd4f87de0b',1,'color_convert.cl']]],
+ ['rgb_5fto_5fyuv_5fcalculation',['rgb_to_yuv_calculation',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#ad37cb1ddab526d6cd50c79355cb48238',1,'arm_compute::test::colorconvert_helper::detail']]],
+ ['rgba8888_5fto_5fiyuv_5fbt709',['RGBA8888_to_IYUV_bt709',['../color__convert_8cl.xhtml#a18ef3b2b70de9af3e4386b2a07f2cd36',1,'color_convert.cl']]],
+ ['rgba8888_5fto_5fnv12_5fbt709',['RGBA8888_to_NV12_bt709',['../color__convert_8cl.xhtml#a9ef9b466943c743b2a0f2865a70f741a',1,'color_convert.cl']]],
+ ['rgba8888_5fto_5frgb888_5fbt709',['RGBA8888_to_RGB888_bt709',['../color__convert_8cl.xhtml#ae424d47188a7fffd83a3a9d0c0e1ce6e',1,'color_convert.cl']]],
+ ['rgba8888_5fto_5fyuv444_5fbt709',['RGBA8888_to_YUV444_bt709',['../color__convert_8cl.xhtml#aee9a7e06c86387d2a46aad341fa940d0',1,'color_convert.cl']]],
+ ['ridft_5f1d',['ridft_1d',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a913f2b2a80ba620a225ab364822702b6',1,'arm_compute::test::validation::reference::ridft_1d(const SimpleTensor< T > &src, bool is_odd=false)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8ed62e13b9cf7f6b3eda27029dba2446',1,'arm_compute::test::validation::reference::ridft_1d(const SimpleTensor< float > &src, bool is_odd)']]],
+ ['ridft_5f2d',['ridft_2d',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a381efef2cd1cc9b5fde49437b91db230',1,'arm_compute::test::validation::reference::ridft_2d(const SimpleTensor< T > &src, bool is_odd=false)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae8285d2e58ae1ee57e5e45c23d35dc30',1,'arm_compute::test::validation::reference::ridft_2d(const SimpleTensor< float > &src, bool is_odd)']]],
+ ['roi_5falign_5f1x1',['roi_align_1x1',['../namespacearm__compute.xhtml#ad04c9c3a53fde2e48e97bbec5dcacd9c',1,'arm_compute']]],
+ ['roi_5falign_5f1x1_5fqasymm8',['roi_align_1x1_qasymm8',['../namespacearm__compute.xhtml#a2d37af8393d4b6b8d0c3440a6f1b386b',1,'arm_compute']]],
+ ['roi_5falign_5flayer',['roi_align_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9bbd156793389376a90cd4f1f8ea2a9b',1,'arm_compute::test::validation::reference::roi_align_layer(const SimpleTensor< T > &src, const SimpleTensor< TRois > &rois, const ROIPoolingLayerInfo &pool_info, const QuantizationInfo &output_qinfo)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab06381fbe6e1527607e2786753d93a2c',1,'arm_compute::test::validation::reference::roi_align_layer(const SimpleTensor< float > &src, const SimpleTensor< float > &rois, const ROIPoolingLayerInfo &pool_info, const QuantizationInfo &output_qinfo)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aaea6754c563c202b0cf1b0733a8d5e31',1,'arm_compute::test::validation::reference::roi_align_layer(const SimpleTensor< half > &src, const SimpleTensor< half > &rois, const ROIPoolingLayerInfo &pool_info, const QuantizationInfo &output_qinfo)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0f5cccbb4934a1409f09b402769be9ad',1,'arm_compute::test::validation::reference::roi_align_layer(const SimpleTensor< uint8_t > &src, const SimpleTensor< uint16_t > &rois, const ROIPoolingLayerInfo &pool_info, const QuantizationInfo &output_qinfo)']]],
+ ['roi_5fpool_5f1x1',['roi_pool_1x1',['../roi__pooling__layer_8cl.xhtml#aa23d7bc09d4a60b853c5b3ba5425c2ec',1,'roi_pooling_layer.cl']]],
+ ['roi_5fpooling_5flayer',['roi_pooling_layer',['../roi__pooling__layer_8cl.xhtml#a2225a0fdbe433c31126daa25249acd8b',1,'roi_pooling_layer.cl']]],
+ ['roialignlayer',['ROIAlignLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#aee31512297b466bfd6fadd4e79384887',1,'arm_compute::graph::frontend::ROIAlignLayer::ROIAlignLayer(SubStream &&sub_stream_input, SubStream &&sub_stream_rois, ROIPoolingLayerInfo pool_info)'],['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#a59543e51d359cdbc63df97c9906c40fd',1,'arm_compute::graph::frontend::ROIAlignLayer::ROIAlignLayer(const ROIAlignLayer &)=delete']]],
+ ['roialignlayernode',['ROIAlignLayerNode',['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a3dc3a0ce0219139b6f55396afee2154f',1,'arm_compute::graph::ROIAlignLayerNode::ROIAlignLayerNode(ROIPoolingLayerInfo &pool_info)'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a49a8c24874736d0aa28dd3aff6996554',1,'arm_compute::graph::ROIAlignLayerNode::ROIAlignLayerNode(const ROIAlignLayerNode &)=delete']]],
+ ['roipoolinglayerinfo',['ROIPoolingLayerInfo',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml#aabcaf278d82498bd5ba1e8d2ce1196cc',1,'arm_compute::ROIPoolingLayerInfo']]],
+ ['round',['round',['../classarm__compute_1_1_pad_stride_info.xhtml#a711b72c2817604dfbb9d20d142882bab',1,'arm_compute::PadStrideInfo::round()'],['../namespacearm__compute.xhtml#aaae2b6b1c3f4404121346a4c27b22647',1,'arm_compute::round()'],['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a995d306fa75c139b6a878506701e6e07',1,'arm_compute::utils::rounding::round()'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#ab71c35ca207b916a9f8b0336ab88484e',1,'arm_compute::support::cpp11::round()']]],
+ ['round_5faway_5ffrom_5fzero',['round_away_from_zero',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a4d6feea06f0c1ad779760e477348db6b',1,'arm_compute::utils::rounding']]],
+ ['round_5fhalf_5faway_5ffrom_5fzero',['round_half_away_from_zero',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#aeecc6e8935077dc93cc5079fe98d3adc',1,'arm_compute::utils::rounding']]],
+ ['round_5fhalf_5fdown',['round_half_down',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a4a17ff00e5272477260c040731aa1d36',1,'arm_compute::utils::rounding']]],
+ ['round_5fhalf_5feven',['round_half_even',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#af1c8bd162677ab8a8ae5dfddc55ca9b8',1,'arm_compute::utils::rounding::round_half_even()'],['../namespacearm__compute_1_1test.xhtml#ad93bb148a873f19ad7692756e59617f4',1,'arm_compute::test::round_half_even()']]],
+ ['round_5fhalf_5fto_5fzero',['round_half_to_zero',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a2b38aea22003d34e97d6678f329896d9',1,'arm_compute::utils::rounding']]],
+ ['round_5fhalf_5fup',['round_half_up',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a7d412c5e09b4d4be67727d85d24d51be',1,'arm_compute::utils::rounding::round_half_up()'],['../namespacearm__compute_1_1test.xhtml#af4bcf30f8c56f547f66d61c7c5ae01db',1,'arm_compute::test::round_half_up()']]],
+ ['round_5fto_5fzero',['round_to_zero',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a02f57d08fe3b3f4efd408fb4875c0789',1,'arm_compute::utils::rounding']]],
+ ['rounding_5fdivide_5fby_5fpow2',['rounding_divide_by_pow2',['../namespacearm__compute.xhtml#a77e02c19b498c3ff4ee373b0825cfd19',1,'arm_compute::rounding_divide_by_pow2(int32x4_t x, int32x4_t exponent)'],['../namespacearm__compute.xhtml#a5e28a3911204ac952601f512c82b48f1',1,'arm_compute::rounding_divide_by_pow2(int32x4_t x, int exponent)'],['../namespacearm__compute.xhtml#afe3908fe41d9f2559f4a9eab1997fe61',1,'arm_compute::rounding_divide_by_pow2(int32_t x, int exponent)']]],
+ ['rounding_5fpolicy',['rounding_policy',['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a0f09377db195c78de49f1d2be26ee649',1,'arm_compute::graph::EltwiseLayerNode']]],
+ ['roundup',['roundup',['../utils_8hpp.xhtml#a8f6fbf8b243a10af40ce8d47a1013384',1,'utils.hpp']]],
+ ['row_5freduce_5fmax_5f3',['row_reduce_max_3',['../non__linear__filter__helpers_8h.xhtml#a3138dafa8474a59f73dd837073f18ed7',1,'non_linear_filter_helpers.h']]],
+ ['row_5freduce_5fmax_5f5',['row_reduce_max_5',['../non__linear__filter__helpers_8h.xhtml#a310f21b7cf0409431ddf246c4a98e52e',1,'non_linear_filter_helpers.h']]],
+ ['row_5freduce_5fmin_5f3',['row_reduce_min_3',['../non__linear__filter__helpers_8h.xhtml#ae3e09114bb887de4e20122eed42671a1',1,'non_linear_filter_helpers.h']]],
+ ['row_5freduce_5fmin_5f5',['row_reduce_min_5',['../non__linear__filter__helpers_8h.xhtml#aa9d1bdcaf911a5b861c2082181e6a716',1,'non_linear_filter_helpers.h']]],
+ ['run',['run',['../classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51',1,'arm_compute::ICLKernel::run()'],['../classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::ICLSimple2DKernel::run()'],['../classarm__compute_1_1_i_c_l_simple3_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::ICLSimple3DKernel::run()'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLActivationLayerKernel::run()'],['../classarm__compute_1_1_c_l_batch_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBatchConcatenateLayerKernel::run()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBatchToSpaceLayerKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseAndKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseOrKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseXorKernel::run()'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBoundingBoxTransformKernel::run()'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGradientKernel::run()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::run()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLEdgeTraceKernel::run()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelCombineKernel::run()'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelExtractKernel::run()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelShuffleLayerKernel::run()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCol2ImKernel::run()'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLColorConvertKernel::run()'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLComparisonKernel::run()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::run()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLConvolutionRectangleKernel::run()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCopyKernel::run()'],['../classarm__compute_1_1_c_l_crop_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCropKernel::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::run()'],['../classarm__compute_1_1_c_l_deconvolution_reshape_output_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDeconvolutionReshapeOutputKernel::run()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_c_l_depth_to_space_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthToSpaceLayerKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_native_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayerNativeKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::run()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDequantizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDerivativeKernel::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLElementwiseOperationKernel::run()'],['../classarm__compute_1_1_c_l_element_wise_unary_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLElementWiseUnaryLayerKernel::run()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFastCornersKernel::run()'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCopyToArrayKernel::run()'],['../classarm__compute_1_1_c_l_f_f_t_digit_reverse_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFFTDigitReverseKernel::run()'],['../classarm__compute_1_1_c_l_f_f_t_radix_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFFTRadixStageKernel::run()'],['../classarm__compute_1_1_c_l_f_f_t_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFFTScaleKernel::run()'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFillBorderKernel::run()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFlattenLayerKernel::run()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFloorKernel::run()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFuseBatchNormalizationKernel::run()'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGatherKernel::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGaussianPyramidHorKernel::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGaussianPyramidVertKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_native_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixMultiplyNativeKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_only_r_h_s_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_native_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixMultiplyNativeKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixMultiplyReshapedOnlyRHSKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::run()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLComputeAllAnchorsKernel::run()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHarrisScoreKernel::run()'],['../classarm__compute_1_1_c_l_height_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHeightConcatenateLayerKernel::run()'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHistogramKernel::run()'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHistogramBorderKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHOGOrientationBinningKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHOGBlockNormalizationKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ac8f1ca778b425c6408a93b672b041dd0',1,'arm_compute::CLHOGDetectorKernel::run()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLIm2ColKernel::run()'],['../classarm__compute_1_1_c_l_instance_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLInstanceNormalizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLIntegralImageVertKernel::run()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLL2NormalizeLayerKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_init_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerInitKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerFinalizeKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerStage0Kernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerStage1Kernel::run()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMagnitudePhaseKernel::run()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMeanStdDevKernel::run()'],['../classarm__compute_1_1_c_l_mean_std_dev_normalization_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMeanStdDevNormalizationKernel::run()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMemsetKernel::run()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxLayerKernel::run()'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxKernel::run()'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxLocationKernel::run()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLNormalizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::run()'],['../classarm__compute_1_1_c_l_pad_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPadLayerKernel::run()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPermuteKernel::run()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_c_l_complex_pixel_wise_multiplication_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLComplexPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPoolingLayerKernel::run()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPriorBoxLayerKernel::run()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLQuantizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLRangeKernel::run()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReductionOperationKernel::run()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLRemapKernel::run()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReorgLayerKernel::run()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReshapeLayerKernel::run()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReverseKernel::run()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#ac8f1ca778b425c6408a93b672b041dd0',1,'arm_compute::CLROIAlignLayerKernel::run()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLROIPoolingLayerKernel::run()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLScaleKernel::run()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLScharr3x3Kernel::run()'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSelectKernel::run()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel3x3Kernel::run()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel5x5HorKernel::run()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel5x5VertKernel::run()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel7x7HorKernel::run()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel7x7VertKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DShiftExpSumKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DNormKernel::run()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSpaceToBatchLayerKernel::run()'],['../classarm__compute_1_1_c_l_space_to_depth_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSpaceToDepthLayerKernel::run()'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLStackLayerKernel::run()'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLStridedSliceKernel::run()'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLTileKernel::run()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLUpsampleLayerKernel::run()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWeightsReshapeKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenate2TensorsKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenate4TensorsKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradFilterTransformKernel::run()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradInputTransformKernel::run()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradOutputTransformKernel::run()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLYOLOLayerKernel::run()'],['../classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef',1,'arm_compute::ICPPKernel::run()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::run()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPCornerCandidatesKernel::run()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::run()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPFlipWeightsKernel::run()'],['../classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPNonMaximumSuppressionKernel::run()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPPermuteKernel::run()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPSortEuclideanDistanceKernel::run()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPTopKVKernel::run()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPUpsampleKernel::run()'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#a6f56c8bb44166634652b877d6eb7a9a2',1,'arm_compute::IGCKernel::run()'],['../classarm__compute_1_1_i_g_c_simple2_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::IGCSimple2DKernel::run()'],['../classarm__compute_1_1_i_g_c_simple3_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::IGCSimple3DKernel::run()'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCActivationLayerKernel::run()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCCol2ImKernel::run()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::run()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDropoutLayerKernel::run()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCFillBorderKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCIm2ColKernel::run()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCNormalizationLayerKernel::run()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::run()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCPoolingLayerKernel::run()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCScaleKernel::run()'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCLogits1DShiftExpSumKernel::run()'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCLogits1DNormKernel::run()'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCTensorShiftKernel::run()'],['../classarm__compute_1_1_g_c_transpose_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCTransposeKernel::run()'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateWeightedKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateSquaredKernel::run()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEActivationLayerKernel::run()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEArithmeticSubtractionKernel::run()'],['../classarm__compute_1_1_n_e_batch_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBatchConcatenateLayerKernel::run()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_batch_to_space_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBatchToSpaceLayerKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseAndKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseNotKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseOrKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseXorKernel::run()'],['../classarm__compute_1_1_n_e_bounding_box_transform_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBoundingBoxTransformKernel::run()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBox3x3Kernel::run()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGradientKernel::run()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::run()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEEdgeTraceKernel::run()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelCombineKernel::run()'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelExtractKernel::run()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelShuffleLayerKernel::run()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECol2ImKernel::run()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEColorConvertKernel::run()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::run()'],['../classarm__compute_1_1_n_e_convert_quantized_signedness_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvertQuantizedSignednessKernel::run()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvolutionKernel::run()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESeparableConvolutionHorKernel::run()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESeparableConvolutionVertKernel::run()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvolutionRectangleKernel::run()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECopyKernel::run()'],['../classarm__compute_1_1_n_e_crop_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECropKernel::run()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECumulativeDistributionKernel::run()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthConvertLayerKernel::run()'],['../classarm__compute_1_1_n_e_depth_to_space_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthToSpaceLayerKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer_native_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseConvolutionLayerNativeKernel::run()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDequantizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDerivativeKernel::run()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDilateKernel::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::run()'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEElementwiseOperationKernel::run()'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEElementwiseUnaryKernel::run()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEErodeKernel::run()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFastCornersKernel::run()'],['../classarm__compute_1_1_n_e_f_f_t_digit_reverse_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFFTDigitReverseKernel::run()'],['../classarm__compute_1_1_n_e_f_f_t_radix_stage_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFFTRadixStageKernel::run()'],['../classarm__compute_1_1_n_e_f_f_t_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFFTScaleKernel::run()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillArrayKernel::run()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillBorderKernel::run()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillInnerBorderKernel::run()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFlattenLayerKernel::run()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFloorKernel::run()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFuseBatchNormalizationKernel::run()'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGatherKernel::run()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian3x3Kernel::run()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian5x5HorKernel::run()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian5x5VertKernel::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussianPyramidHorKernel::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussianPyramidVertKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpOffsetContributionOutputStageKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_n_e_compute_all_anchors_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEComputeAllAnchorsKernel::run()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHarrisScoreKernel::run()'],['../classarm__compute_1_1_n_e_height_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHeightConcatenateLayerKernel::run()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHistogramKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGOrientationBinningKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGBlockNormalizationKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGDetectorKernel::run()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEIm2ColKernel::run()'],['../classarm__compute_1_1_n_e_instance_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEInstanceNormalizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEIntegralImageKernel::run()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEL2NormalizeLayerKernel::run()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELKTrackerKernel::run()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMagnitudePhaseKernel::run()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMeanStdDevKernel::run()'],['../classarm__compute_1_1_n_e_mean_std_dev_normalization_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMeanStdDevNormalizationKernel::run()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMedian3x3Kernel::run()'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMemsetKernel::run()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxLayerKernel::run()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxKernel::run()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxLocationKernel::run()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENonLinearFilterKernel::run()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENonMaximaSuppression3x3Kernel::run()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENormalizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_pad_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPadLayerKernel::run()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPermuteKernel::run()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_n_e_complex_pixel_wise_multiplication_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEComplexPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPoolingLayerKernel::run()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPriorBoxLayerKernel::run()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEQuantizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NERangeKernel::run()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReductionOperationKernel::run()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NERemapKernel::run()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReorgLayerKernel::run()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReshapeLayerKernel::run()'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReverseKernel::run()'],['../classarm__compute_1_1_n_e_r_o_i_align_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEROIAlignLayerKernel::run()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEROIPoolingLayerKernel::run()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEScaleKernel::run()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEScharr3x3Kernel::run()'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESelectKernel::run()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel3x3Kernel::run()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel5x5HorKernel::run()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel5x5VertKernel::run()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel7x7HorKernel::run()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel7x7VertKernel::run()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELogits1DMaxKernel::run()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELogits1DSoftmaxKernel::run()'],['../classarm__compute_1_1_n_e_space_to_batch_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESpaceToBatchLayerKernel::run()'],['../classarm__compute_1_1_n_e_space_to_depth_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESpaceToDepthLayerKernel::run()'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEStackLayerKernel::run()'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEStridedSliceKernel::run()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETableLookupKernel::run()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEThresholdKernel::run()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETileKernel::run()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETransposeKernel::run()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEUpsampleLayerKernel::run()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::INEWarpKernel::run()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWidthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformInputKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformOutputKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::run()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEYOLOLayerKernel::run()'],['../classarm__compute_1_1graph_1_1backends_1_1_fused_convolution_batch_normalization_function.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::graph::backends::FusedConvolutionBatchNormalizationFunction::run()'],['../classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction::run()'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::graph::frontend::Stream::run()'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a8eca648ee39ca1381dfb511c11b31d96',1,'arm_compute::graph::PassManager::run()'],['../classarm__compute_1_1_c_l_arg_min_max_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLArgMinMaxLayer::run()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLBatchNormalizationLayer::run()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLBatchToSpaceLayer::run()'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLCannyEdge::run()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConcatenateLayer::run()'],['../classarm__compute_1_1weights__transformations_1_1_c_l_convert_fully_connected_weights_managed.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::weights_transformations::CLConvertFullyConnectedWeightsManaged::run()'],['../classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionSquare::run()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_crop_resize.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLCropResize::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDeconvolutionLayer::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDeconvolutionLayerUpsample::run()'],['../classarm__compute_1_1_c_l_depth_to_space_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthToSpaceLayer::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDirectConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_direct_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDirectDeconvolutionLayer::run()'],['../classarm__compute_1_1_c_l_equalize_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLEqualizeHistogram::run()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFastCorners::run()'],['../classarm__compute_1_1_c_l_f_f_t1_d.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFFT1D::run()'],['../classarm__compute_1_1_c_l_f_f_t2_d.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFFT2D::run()'],['../classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFFTConvolutionLayer::run()'],['../classarm__compute_1_1weights__transformations_1_1_c_l_fully_connected_layer_reshape_weights_managed.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::weights_transformations::CLFullyConnectedLayerReshapeWeightsManaged::run()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFullyConnectedLayer::run()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFuseBatchNormalization::run()'],['../classarm__compute_1_1_c_l_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussian5x5::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussianPyramidHalf::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussianPyramidOrb::run()'],['../classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::weights_transformations::CLGEMMReshapeRHSMatrixKernelManaged::run()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMM::run()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1weights__transformations_1_1_c_l_convolution_layer_reshape_weights_transform.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::weights_transformations::CLConvolutionLayerReshapeWeightsTransform::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMMConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMMDeconvolutionLayer::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::run()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGenerateProposalsLayer::run()'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHarrisCorners::run()'],['../classarm__compute_1_1_c_l_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHistogram::run()'],['../classarm__compute_1_1_c_l_h_o_g_descriptor.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGDescriptor::run()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGDetector::run()'],['../classarm__compute_1_1_c_l_h_o_g_gradient.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGGradient::run()'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGMultiDetection::run()'],['../classarm__compute_1_1_c_l_integral_image.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLIntegralImage::run()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLL2NormalizeLayer::run()'],['../classarm__compute_1_1_c_l_laplacian_pyramid.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLaplacianPyramid::run()'],['../classarm__compute_1_1_c_l_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLaplacianReconstruct::run()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLocallyConnectedLayer::run()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLSTMLayer::run()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLSTMLayerQuantized::run()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLMeanStdDev::run()'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLMinMaxLocation::run()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLNormalizationLayer::run()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLNormalizePlanarYUVLayer::run()'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLOpticalFlow::run()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLPadLayer::run()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLReduceMean::run()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLReductionOperation::run()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLRNNLayer::run()'],['../classarm__compute_1_1_c_l_sobel5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSobel5x5::run()'],['../classarm__compute_1_1_c_l_sobel7x7.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSobel7x7::run()'],['../classarm__compute_1_1_c_l_softmax_layer_generic.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSoftmaxLayerGeneric::run()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSpaceToBatchLayer::run()'],['../classarm__compute_1_1_c_l_space_to_depth_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSpaceToDepthLayer::run()'],['../classarm__compute_1_1_c_l_split.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSplit::run()'],['../classarm__compute_1_1_c_l_stack_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLStackLayer::run()'],['../classarm__compute_1_1_c_l_unstack.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLUnstack::run()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLUpsampleLayer::run()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLWinogradConvolutionLayer::run()'],['../classarm__compute_1_1_i_c_l_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::ICLSimpleFunction::run()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimit::run()'],['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CPPDetectionOutputLayer::run()'],['../classarm__compute_1_1_c_p_p_detection_post_process_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CPPDetectionPostProcessLayer::run()'],['../classarm__compute_1_1_i_c_p_p_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::ICPPSimpleFunction::run()'],['../classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCBatchNormalizationLayer::run()'],['../classarm__compute_1_1_g_c_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCConcatenateLayer::run()'],['../classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCConvolutionLayer::run()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_g_c_direct_convolution_layer.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCDirectConvolutionLayer::run()'],['../classarm__compute_1_1_g_c_dropout_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCDropoutLayer::run()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCFullyConnectedLayer::run()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCGEMM::run()'],['../classarm__compute_1_1_g_c_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCNormalizationLayer::run()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCNormalizePlanarYUVLayer::run()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCPoolingLayer::run()'],['../classarm__compute_1_1_g_c_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCSoftmaxLayer::run()'],['../classarm__compute_1_1_i_g_c_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::IGCSimpleFunction::run()'],['../classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b',1,'arm_compute::IFunction::run()'],['../classarm__compute_1_1_i_transform_weights.xhtml#a18954417d3124a8095783ea13dc6d00b',1,'arm_compute::ITransformWeights::run()'],['../classarm__compute_1_1_i_weights_manager.xhtml#a73808ac61e51d72c7d6349d6d51dcf37',1,'arm_compute::IWeightsManager::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_assembly_dispatch.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseConvolutionAssemblyDispatch::run()'],['../classarm__compute_1_1_n_e_arg_min_max_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEArgMinMaxLayer::run()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEBatchNormalizationLayer::run()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NECannyEdge::run()'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvertFullyConnectedWeights::run()'],['../classarm__compute_1_1weights__transformations_1_1_n_e_convert_fully_connected_weights_managed.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::weights_transformations::NEConvertFullyConnectedWeightsManaged::run()'],['../classarm__compute_1_1_n_e_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionSquare::run()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_crop_resize.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NECropResize::run()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDeconvolutionLayer::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer_optimized.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseConvolutionLayerOptimized::run()'],['../classarm__compute_1_1_n_e_derivative.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDerivative::run()'],['../classarm__compute_1_1_n_e_detection_post_process_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDetectionPostProcessLayer::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDirectConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_equalize_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEEqualizeHistogram::run()'],['../classarm__compute_1_1_n_e_fast_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFastCorners::run()'],['../classarm__compute_1_1_n_e_f_f_t1_d.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFFT1D::run()'],['../classarm__compute_1_1_n_e_f_f_t2_d.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFFT2D::run()'],['../classarm__compute_1_1_n_e_f_f_t_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFFTConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_fill_border.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFillBorder::run()'],['../classarm__compute_1_1weights__transformations_1_1_n_e_fully_connected_layer_reshape_weights_managed.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::weights_transformations::NEFullyConnectedLayerReshapeWeightsManaged::run()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFullyConnectedLayer::run()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFuseBatchNormalization::run()'],['../classarm__compute_1_1_n_e_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussian5x5::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussianPyramidHalf::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussianPyramidOrb::run()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMM::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml#a18954417d3124a8095783ea13dc6d00b',1,'arm_compute::NEGEMMAssemblyDispatch::IFallback::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMAssemblyDispatch::run()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1weights__transformations_1_1_n_e_convolution_layer_reshape_weights_transform.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::weights_transformations::NEConvolutionLayerReshapeWeightsTransform::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMLowpAssemblyMatrixMultiplyCore::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::run()'],['../classarm__compute_1_1_n_e_generate_proposals_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGenerateProposalsLayer::run()'],['../classarm__compute_1_1_n_e_harris_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHarrisCorners::run()'],['../classarm__compute_1_1_n_e_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHistogram::run()'],['../classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGDescriptor::run()'],['../classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGGradient::run()'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGMultiDetection::run()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEIm2Col::run()'],['../classarm__compute_1_1_n_e_instance_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEInstanceNormalizationLayer::run()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEL2NormalizeLayer::run()'],['../classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELaplacianPyramid::run()'],['../classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELaplacianReconstruct::run()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELocallyConnectedLayer::run()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELSTMLayer::run()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer_quantized.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELSTMLayerQuantized::run()'],['../classarm__compute_1_1_n_e_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEMeanStdDev::run()'],['../classarm__compute_1_1_n_e_min_max_location.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEMinMaxLocation::run()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NENormalizationLayer::run()'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEOpticalFlow::run()'],['../classarm__compute_1_1_n_e_pad_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEPadLayer::run()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEPoolingLayer::run()'],['../classarm__compute_1_1_n_e_range.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NERange::run()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEReduceMean::run()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEReductionOperation::run()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NERNNLayer::run()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEROIPoolingLayer::run()'],['../classarm__compute_1_1_n_e_scale.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEScale::run()'],['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::NESimpleAssemblyFunction::run()'],['../classarm__compute_1_1_n_e_sobel5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESobel5x5::run()'],['../classarm__compute_1_1_n_e_sobel7x7.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESobel7x7::run()'],['../classarm__compute_1_1_n_e_softmax_layer_generic.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESoftmaxLayerGeneric::run()'],['../classarm__compute_1_1_n_e_space_to_batch_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESpaceToBatchLayer::run()'],['../classarm__compute_1_1_n_e_space_to_depth_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESpaceToDepthLayer::run()'],['../classarm__compute_1_1_n_e_split.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESplit::run()'],['../classarm__compute_1_1_n_e_stack_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEStackLayer::run()'],['../classarm__compute_1_1_n_e_unstack.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEUnstack::run()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEUpsampleLayer::run()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEWinogradConvolutionLayer::run()'],['../classarm__compute_1_1_i_n_e_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::INESimpleFunction::run()'],['../classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::INESimpleFunctionNoBorder::run()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function_init_output_with_zero_and_with_zero_constant_border.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::test::CLSynthetizeFunctionInitOutputWithZeroAndWithZeroConstantBorder::run()'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a149ad6701e3e2414cb566bb414029841',1,'arm_compute::test::framework::Framework::run()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06403ad5596b5405787cfca12e5b815e',1,'arm_compute::test::validation::run()']]],
+ ['run_5fall',['run_all',['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a8ff5886e2e39da2a4db7029e8dc143e2',1,'arm_compute::graph::PassManager']]],
+ ['run_5fexample',['run_example',['../namespacearm__compute_1_1utils.xhtml#a8249d4be92399495c0d3c9a5004aeb40',1,'arm_compute::utils::run_example(int argc, char **argv, std::unique_ptr< Example > example)'],['../namespacearm__compute_1_1utils.xhtml#afdb36468694a529fa7c5389b278aa14b',1,'arm_compute::utils::run_example(int argc, char **argv, std::unique_ptr< ValidateExample > example)'],['../namespacearm__compute_1_1utils.xhtml#ac6126fda74b244d4c9a75328a3f436a3',1,'arm_compute::utils::run_example(int argc, char **argv)']]],
+ ['run_5fnmslimit',['run_nmslimit',['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a09b1eba6110aafce761e0e12d79cd12b',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel']]],
+ ['run_5freverse',['run_reverse',['../namespacearm__compute.xhtml#a57de30d9ebd8eed0393798583555dd16',1,'arm_compute']]],
+ ['run_5ftagged_5fworkloads',['run_tagged_workloads',['../classarm__compute_1_1_i_scheduler.xhtml#a3becf955da8cad5036399bcb90f1408d',1,'arm_compute::IScheduler']]],
+ ['runtimecontext',['RuntimeContext',['../classarm__compute_1_1_runtime_context.xhtml#af3a5f92c25138524976ffd7493131de2',1,'arm_compute::RuntimeContext::RuntimeContext()'],['../classarm__compute_1_1_runtime_context.xhtml#a1e507017df0a74553afdcf801e25f142',1,'arm_compute::RuntimeContext::RuntimeContext(const RuntimeContext &)=delete'],['../classarm__compute_1_1_runtime_context.xhtml#a599395bda0ad9efc91949f693c878852',1,'arm_compute::RuntimeContext::RuntimeContext(RuntimeContext &&)=default']]]
];