documentation/search/functions_3.js

var searchData=
[
  ['data',['data',['../classarm__compute_1_1_c_l_lut_allocator.xhtml#a6a731c70d12750586b67c6cde637b650',1,'arm_compute::CLLutAllocator::data()'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6a731c70d12750586b67c6cde637b650',1,'arm_compute::CLTensorAllocator::data()'],['../classarm__compute_1_1_lut_allocator.xhtml#a738d0f4e90cfddb07316f368a855e50b',1,'arm_compute::LutAllocator::data()'],['../classarm__compute_1_1_tensor_allocator.xhtml#a738d0f4e90cfddb07316f368a855e50b',1,'arm_compute::TensorAllocator::data()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ad3b74abc0bab69f337c70783e73f5bef',1,'arm_compute::test::CLAccessor::data() const '],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a0189be0971a32a0171c51b90a1ab1020',1,'arm_compute::test::CLAccessor::data()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#ad3b74abc0bab69f337c70783e73f5bef',1,'arm_compute::test::Accessor::data() const '],['../classarm__compute_1_1test_1_1_accessor.xhtml#a0189be0971a32a0171c51b90a1ab1020',1,'arm_compute::test::Accessor::data()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0',1,'arm_compute::test::SimpleTensor::data() const '],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#adc1e16b293a89a9ccc9541058b5ca560',1,'arm_compute::test::SimpleTensor::data()']]],
  ['data_5fsize_5ffrom_5ftype',['data_size_from_type',['../namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab',1,'arm_compute']]],
  ['data_5ftest_5fcase',['DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a122e3a9ceeb35b23b5d9e0ecaff76e50',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), framework::dataset::make("InPlace",{false, true})), shape, data_type, in_place)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4a6e9fa189c54b63aef5111693d855b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy",{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), shape, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a202aebdc4af23a8c566add5554b9e7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",{DataType::U8, DataType::S16})), framework::dataset::make("ConvertPolicy",{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), shape, data_type, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1bac1c97d07b355dbf758eae66ae2450',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomBatchNormalizationLayerDataset(), framework::dataset::make("DataType",{DataType::QS8, DataType::QS16, DataType::F16, DataType::F32})), shape0, shape1, epsilon, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43b142f2fd7735c8dbb2b1b4e456482b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af654ad5ee4e9af35cd82a2a0f3f8e1aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), shape, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8703762e8291b913c69ce32376c1fb14',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2935775c5b9a41621abf138222cb0a2e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy",{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), DepthConvertShiftDataset), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb7f384bdc06f0a935fc09baeffa2ebd',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",{DataType::QS8, DataType::QS16})), framework::dataset::make("ConvertPolicy",{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), DepthConvertFixedPointQuantizedDataset), shape, dt, policy, fixed_point_position)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd3bff121f3d1b361014931aba336060',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make("DataType", DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6977e5dada34102dfca07ad1bd3acc63',1,'arm_compute::test::validation::DATA_TEST_CASE(FillBorder, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::BorderModes()), BorderSizesDataset), PaddingSizesDataset), framework::dataset::make("DataType", DataType::U8)), shape, border_mode, size, padding, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a993ad7954889c7044c5d3ccd82243f6d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallFullyConnectedLayerDataset(), datasets::LargeFullyConnectedLayerDataset()), FullyConnectedParameters), CNNDataTypes), src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd7a6dbd100ac000c0d5ff06290dda88',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallGEMMDataset(), datasets::LargeGEMMDataset()), CNNDataTypes), shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07488d59b3ffaa49592976f74b50e62e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), framework::dataset::make("Format", Format::U8)), shape, gradient_size, block_size, border_mode, use_fp16, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03ce389355dedb591f21f5abc0f22cce',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af47ccf8173fbf22b22f0649949789046',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::NonLinearFilterFunctions()), framework::dataset::make("MaskSize",{3U, 5U})), datasets::MatrixPatterns()), datasets::BorderModes()), shape, function, mask_size, pattern, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6da83731448ca19e1a954872f123f45c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, framework::dataset::make("DataType", DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aac5ebbe30a422715cbafb5eeeea9a019',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make("InterpolationPolicy",{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a712c785a9475eb2bb0a5a24e43d282cc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), framework::dataset::make("Format", Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2160e7c7ecc7014f3ef632d8b1337a9',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed9aa4d1158f6ac09286cd55d3494c8b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",{DataType::U8, DataType::S16})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7ddc226714d859ef20d3f5bafc55c38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::MixedThresholdDataset()), framework::dataset::make("DataType", DataType::U8)), shape, threshold, false_value, true_value, type, upper, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9784587ac5d84c4f806fe3d8072a897d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", DataType::U8)), framework::dataset::make("InterpolationPolicy",{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae1fa81d8077d7990785e72cc6b253c2f',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomBatchNormalizationLayerDataset(), framework::dataset::make("DataType",{DataType::QS8, DataType::QS16, DataType::F32})), shape0, shape1, epsilon, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af59c9c2f279864a5b2eb0d718b60af94',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make("InterpolationPolicy",{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad412ecd41b1d50856911faf4fc5f42ee',1,'arm_compute::test::validation::DATA_TEST_CASE(FixedPointQS8Inputs, framework::DatasetMode::ALL, combine(FuncNamesDataset, framework::dataset::make("FractionalBits", 1, 7)), func_name, frac_bits)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a94dd73849f393b64ff5a72db51a9bc',1,'arm_compute::test::validation::DATA_TEST_CASE(FixedPointQS8Outputs, framework::DatasetMode::ALL, zip(combine(FuncNamesDataset, framework::dataset::make("FractionalBits", 1, 7)), framework::dataset::make("ExpectedFailures",{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 13, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 33, 96})), func_name, frac_bits, expected_failures)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a266d4ed76808bf96f2ba534883af6cbb',1,'arm_compute::test::validation::DATA_TEST_CASE(AutoPadding, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("TensorShape",{TensorShape{}, TensorShape{10U}, TensorShape{10U, 10U}, TensorShape{10U, 10U, 10U}, TensorShape{10U, 10U, 10U, 10U}, TensorShape{10U, 10U, 10U, 10U, 10U}, TensorShape{10U, 10U, 10U, 10U, 10U, 10U}}), framework::dataset::make("PaddingSize",{PaddingSize{0, 0, 0, 0}, PaddingSize{0, 36, 0, 4}, PaddingSize{4, 36, 4, 4}, PaddingSize{4, 36, 4, 4}, PaddingSize{4, 36, 4, 4}, PaddingSize{4, 36, 4, 4}, PaddingSize{4, 36, 4, 4}})), framework::dataset::make("Strides",{Strides{}, Strides{1U, 50U}, Strides{1U, 50U}, Strides{1U, 50U, 900U}, Strides{1U, 50U, 900U, 9000U}, Strides{1U, 50U, 900U, 9000U, 90000U}, Strides{1U, 50U, 900U, 9000U, 90000U, 900000U}})), framework::dataset::make("Offset",{0U, 4U, 204U, 204U, 204U, 204U, 204U})), shape, auto_padding, strides, offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68528b9f127ac5a691a19bc791282f01',1,'arm_compute::test::validation::DATA_TEST_CASE(Construction, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("TensorShape",{TensorShape{}, TensorShape{1U}, TensorShape{2U}, TensorShape{2U, 3U}, TensorShape{2U, 3U, 5U}, TensorShape{2U, 3U, 5U, 7U}, TensorShape{2U, 3U, 5U, 7U, 11U}, TensorShape{2U, 3U, 5U, 7U, 11U, 13U}}), framework::dataset::make("NumDimensions",{0U, 1U, 1U, 2U, 3U, 4U, 5U, 6U})), framework::dataset::make("TotalSize",{0U, 1U, 2U, 6U, 30U, 210U, 2310U, 30030U})), shape, num_dimensions, total_size)'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a28f88254f098ec103dc5986d3752660a',1,'DATA_TEST_CASE(RoundHalfUp, framework::DatasetMode::ALL, zip(framework::dataset::make("FloatIn",{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make("FloatOut",{1.f, 1.f, 2.f, 3.f, 3.f,-3.f,-3.f,-4.f,-4.f,-4.f})), value, result): Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#affbe24fd09600ac3016a471ee841fc57',1,'DATA_TEST_CASE(RoundHalfEven, framework::DatasetMode::ALL, zip(framework::dataset::make("FloatIn",{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make("FloatOut",{1.f, 1.f, 2.f, 2.f, 3.f,-3.f,-4.f,-4.f,-4.f,-4.f})), value, result): Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#aa73947e5521690b18f251cfcc8b3ddfa',1,'DATA_TEST_CASE(Index2Coord, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("Shape",{TensorShape{1U}, TensorShape{2U}, TensorShape{2U, 3U}}), framework::dataset::make("Index",{0, 1, 2})), framework::dataset::make("Coordinates",{Coordinates{0}, Coordinates{1}, Coordinates{0, 1}})), shape, index, ref_coordinate): Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a9e461b3ac0012c8c7193c1e180c91f67',1,'DATA_TEST_CASE(Coord2Index, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("Shape",{TensorShape{1U}, TensorShape{2U}, TensorShape{2U, 3U}}), framework::dataset::make("Coordinates",{Coordinates{0}, Coordinates{1}, Coordinates{0, 1}})), framework::dataset::make("Index",{0, 1, 2})), shape, coordinate, ref_index): Utils.cpp']]],
  ['data_5ftype',['data_type',['../classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba',1,'arm_compute::ITensorInfo::data_type()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::SubTensorInfo::data_type()'],['../classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::TensorInfo::data_type()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::CLAccessor::data_type()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba',1,'arm_compute::test::IAccessor::data_type()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::Accessor::data_type()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::SimpleTensor::data_type()']]],
  ['data_5ftype_5ffor_5fconvolution',['data_type_for_convolution',['../namespacearm__compute.xhtml#a01adc12d8e07c06cdb0f03c56a455bf3',1,'arm_compute']]],
  ['data_5ftype_5ffor_5fconvolution_5fmatrix',['data_type_for_convolution_matrix',['../namespacearm__compute.xhtml#a3992df9e8723140a53e49dc194d89ef5',1,'arm_compute']]],
  ['data_5ftype_5ffrom_5fformat',['data_type_from_format',['../namespacearm__compute.xhtml#a59846ef5ca75cd81cdb7e8a1ce08f9db',1,'arm_compute']]],
  ['dataset',['Dataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_dataset.xhtml#a6c77d69d08daa8c99952d9e40de8d086',1,'arm_compute::test::framework::dataset::Dataset']]],
  ['dataset_5fmode_5ffrom_5fname',['dataset_mode_from_name',['../namespacearm__compute_1_1test_1_1framework.xhtml#a1afd1c498fb3a1d2315e4c6d87d15754',1,'arm_compute::test::framework']]],
  ['datatestcasefactory',['DataTestCaseFactory',['../classarm__compute_1_1test_1_1framework_1_1_data_test_case_factory.xhtml#aacdf355fbfb7579c36e50c757809c148',1,'arm_compute::test::framework::DataTestCaseFactory']]],
  ['debug',['debug',['../namespacearm__compute.xhtml#a5930b66fce0674d707fbf4f2dfcacc8f',1,'arm_compute']]],
  ['default_5finit',['default_init',['../classarm__compute_1_1_c_l_scheduler.xhtml#a46ecf9ef0fe80ba2ed35acfc29856b7d',1,'arm_compute::CLScheduler']]],
  ['default_5fndrange',['default_ndrange',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a6dc2398a934f02224ad3743185f27699',1,'arm_compute::CLKernelLibrary']]],
  ['delta_5fbilinear_5fc1',['delta_bilinear_c1',['../namespacearm__compute.xhtml#ad656a27ce8a507e31096ca45683ba9a5',1,'arm_compute']]],
  ['depth_5fconvert',['depth_convert',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a742cdbdf3c1db76c9a189f1bcd745579',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor< T1 > &src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87c420d7f8a98dead76b0b32b2df6777',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor< uint8_t > &src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa23e45fa7a8f9f196704d4473721d6ab',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor< uint16_t > &src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a968f4da89a68d28ad39d8e39d8d19f93',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor< int16_t > &src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae3f03fb276c241cb8545e8f19b0718dc',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor< int8_t > &src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a77181952330fca74c9b3528f9a51fa10',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor< float > &src, DataType dt_out, ConvertPolicy policy, uint32_t shift)']]],
  ['depthconcatenate_5flayer',['depthconcatenate_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aaca2b6bea6bd88fd39489d1104497330',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector< SimpleTensor< T >> &srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a998bf347ddc146fb533250b9ef9ce927',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector< SimpleTensor< float >> &srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8a116b530186cf21c5f6c7da7acbd178',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector< SimpleTensor< half >> &srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab9d829efe5d789bf902be0ecdc42ee7f',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector< SimpleTensor< qint8_t >> &srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a05d54bc26134fcc90aa9889fd85beaad',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector< SimpleTensor< qint16_t >> &srcs)']]],
  ['depthconcatenateshapes',['DepthConcatenateShapes',['../classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_shapes.xhtml#a9fa589980f42f44513272bc9ffd2c2e9',1,'arm_compute::test::datasets::DepthConcatenateShapes']]],
  ['depthwise_5fconvolution',['depthwise_convolution',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f8ec1b43b35c3c618cbacbbb4608b3b',1,'arm_compute::test::validation::reference::depthwise_convolution(const SimpleTensor< T > &src, const SimpleTensor< T > &weights, const TensorShape &dst_shape, const PadStrideInfo &conv_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a07eb27301d565f8f4018310e3dd000c3',1,'arm_compute::test::validation::reference::depthwise_convolution(const SimpleTensor< float > &src, const SimpleTensor< float > &weights, const TensorShape &dst_shape, const PadStrideInfo &conv_info)']]],
  ['depthwise_5fseparable_5fconvolution_5flayer',['depthwise_separable_convolution_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a001cc2899961f6e89ad6a775339cf5c4',1,'arm_compute::test::validation::reference::depthwise_separable_convolution_layer(const SimpleTensor< T > &src, const SimpleTensor< T > &depthwise_weights, const TensorShape &depthwise_out_shape, const SimpleTensor< T > &pointwise_weights, const SimpleTensor< T > &biases, const TensorShape &dst_shape, const PadStrideInfo &depthwise_conv_info, const PadStrideInfo &pointwise_conv_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6b86c6d4d446e068d2eaf96b67c2dfed',1,'arm_compute::test::validation::reference::depthwise_separable_convolution_layer(const SimpleTensor< float > &in, const SimpleTensor< float > &depthwise_weights, const TensorShape &depthwise_out_shape, const SimpleTensor< float > &pointwise_weights, const SimpleTensor< float > &biases, const TensorShape &dst_shape, const PadStrideInfo &depthwise_conv_info, const PadStrideInfo &pointwise_conv_info)']]],
  ['dequantization_5flayer',['dequantization_layer',['../dequantization__layer_8cl.xhtml#a60e9b00d30a2743653c1f589e33467b9',1,'dequantization_layer(): dequantization_layer.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab77dd3bd732636010753d8080608cd3c',1,'arm_compute::test::validation::reference::dequantization_layer(const SimpleTensor< T > &src, const SimpleTensor< float > &min_max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6633ef7fc0852265b2f158a5ef7ae900',1,'arm_compute::test::validation::reference::dequantization_layer(const SimpleTensor< uint8_t > &src, const SimpleTensor< float > &min_max)']]],
  ['derivative',['derivative',['../derivative_8cl.xhtml#a5bd0ba0e3feaf66458557426291f2a77',1,'derivative.cl']]],
  ['description',['description',['../structarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::datasets::BatchNormalizationLayerDataset::iterator::description()'],['../structarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::datasets::ConvolutionLayerDataset::iterator::description()'],['../structarm__compute_1_1test_1_1datasets_1_1_depthwise_convolution_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::datasets::DepthwiseConvolutionDataset::iterator::description()'],['../structarm__compute_1_1test_1_1datasets_1_1_depthwise_separable_convolution_layer_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::datasets::DepthwiseSeparableConvolutionLayerDataset::iterator::description()'],['../structarm__compute_1_1test_1_1datasets_1_1_fully_connected_layer_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::datasets::FullyConnectedLayerDataset::iterator::description()'],['../structarm__compute_1_1test_1_1datasets_1_1_g_e_m_m_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::datasets::GEMMDataset::iterator::description()'],['../structarm__compute_1_1test_1_1datasets_1_1_pooling_layer_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::datasets::PoolingLayerDataset::iterator::description()'],['../structarm__compute_1_1test_1_1datasets_1_1_reshape_layer_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::datasets::ReshapeLayerDataset::iterator::description()'],['../structarm__compute_1_1test_1_1datasets_1_1_r_o_i_pooling_layer_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::datasets::ROIPoolingLayerDataset::iterator::description()'],['../structarm__compute_1_1test_1_1datasets_1_1_threshold_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::datasets::ThresholdDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::description()']]],
  ['descriptor',['descriptor',['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a548b8c6fda024da07113ff6cf6ec6af6',1,'arm_compute::ICLHOG::descriptor()'],['../classarm__compute_1_1_i_h_o_g.xhtml#afc824305b2eaceab36baf5b66a535316',1,'arm_compute::IHOG::descriptor()'],['../classarm__compute_1_1_h_o_g.xhtml#a548b8c6fda024da07113ff6cf6ec6af6',1,'arm_compute::HOG::descriptor()']]],
  ['descriptor_5fsize',['descriptor_size',['../classarm__compute_1_1_h_o_g_info.xhtml#a8f6435e0a7c016e3cb0fc94b33067e50',1,'arm_compute::HOGInfo']]],
  ['detection_5fwindow_5fsize',['detection_window_size',['../classarm__compute_1_1_h_o_g_info.xhtml#a0279e383beb758e477ce0673c5db8d57',1,'arm_compute::HOGInfo']]],
  ['dilate',['dilate',['../dilate_8cl.xhtml#ae69f64c97993985f7623a252cf9fbe69',1,'dilate.cl']]],
  ['dimension',['Dimension',['../classarm__compute_1_1_window_1_1_dimension.xhtml#a2c532d398a5661ff04367252701fa3d4',1,'arm_compute::Window::Dimension::Dimension()'],['../classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2',1,'arm_compute::ITensorInfo::dimension()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97',1,'arm_compute::SubTensorInfo::dimension()'],['../classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97',1,'arm_compute::TensorInfo::dimension()']]],
  ['dimensions',['Dimensions',['../classarm__compute_1_1_dimensions.xhtml#aa521fcebc508ef8447da413cc64d020a',1,'arm_compute::Dimensions::Dimensions(Ts...dims)'],['../classarm__compute_1_1_dimensions.xhtml#aa2c609345b3b6fa8da2486f75fff8ed8',1,'arm_compute::Dimensions::Dimensions(Dimensions &&)=default'],['../classarm__compute_1_1_i_distribution.xhtml#a254be7b34cd78d12ffc7ed2aba4882b1',1,'arm_compute::IDistribution::dimensions()'],['../classarm__compute_1_1_i_distribution1_d.xhtml#ad251169c06da412071bdfb6e92444e6e',1,'arm_compute::IDistribution1D::dimensions()']]],
  ['directconvolutionlayerdataset',['DirectConvolutionLayerDataset',['../classarm__compute_1_1test_1_1datasets_1_1_direct_convolution_layer_dataset.xhtml#ad091161b4638cc29d326237f9a8ac9e5',1,'arm_compute::test::datasets::DirectConvolutionLayerDataset']]],
  ['disabled_5ffixture_5fdata_5ftest_5fcase',['DISABLED_FIXTURE_DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ced46674ba128087c940287fa8bd838',1,'arm_compute::test::validation']]],
  ['distribution1d',['Distribution1D',['../classarm__compute_1_1_distribution1_d.xhtml#a243c829bced69df597b496eb7456efb0',1,'arm_compute::Distribution1D']]],
  ['div',['div',['../structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a72d043524e13bf27c605c2dee2e20a2a',1,'arm_compute::test::fixed_point_arithmetic::detail::functions::div()'],['../namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d53af9692ab2f7ae6fc0017faeb46f0',1,'arm_compute::test::fixed_point_arithmetic::detail::div()']]],
  ['div_5fceil',['DIV_CEIL',['../namespacearm__compute.xhtml#a12705a88669cb9fb90451ebe0db53c41',1,'arm_compute']]],
  ['div_5fsat_5fqs16',['div_sat_qs16',['../fixed__point_8h.xhtml#a8d2c17065a15f7b298145b13c28ef349',1,'fixed_point.h']]],
  ['div_5fsat_5fqs16x16',['div_sat_qs16x16',['../fixed__point_8h.xhtml#af57ae5abe45efdd8ec58130e3d4726cb',1,'fixed_point.h']]],
  ['div_5fsat_5fqs16x8',['div_sat_qs16x8',['../fixed__point_8h.xhtml#ae915e52782d10b155502837e6caa9721',1,'fixed_point.h']]],
  ['div_5fsat_5fqs8',['div_sat_qs8',['../fixed__point_8h.xhtml#a77995d58e1505e2182a75ee199d8b01e',1,'fixed_point.h']]],
  ['div_5fsat_5fqs8x16',['div_sat_qs8x16',['../fixed__point_8h.xhtml#a524ddfb8ca9b49eb0870b73ee3bd720c',1,'fixed_point.h']]],
  ['do_5frun',['do_run',['../classarm__compute_1_1test_1_1framework_1_1_test_case.xhtml#a90b4bc2c4bae857bc3536f4a18e29772',1,'arm_compute::test::framework::TestCase']]],
  ['do_5fsetup',['do_setup',['../classarm__compute_1_1test_1_1framework_1_1_test_case.xhtml#a5bf6aaa253bb8a13013294d33e168c45',1,'arm_compute::test::framework::TestCase']]],
  ['do_5fteardown',['do_teardown',['../classarm__compute_1_1test_1_1framework_1_1_test_case.xhtml#a9b3acd6be09cf86066760caaa89f7be5',1,'arm_compute::test::framework::TestCase']]],
  ['draw_5fdetection_5frectangle',['draw_detection_rectangle',['../namespacearm__compute_1_1utils.xhtml#ad1b5373f466a3945e1f0ef1c9943c357',1,'arm_compute::utils']]],
  ['dummyaccessor',['DummyAccessor',['../classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ac5ae9597ba20e5581726743fe7c154b5',1,'arm_compute::graph_utils::DummyAccessor::DummyAccessor(unsigned int maximum=1)'],['../classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#a4a48cd865f33e4a907338c42d652d80f',1,'arm_compute::graph_utils::DummyAccessor::DummyAccessor(DummyAccessor &&)=default']]],
  ['duplicate',['duplicate',['../classarm__compute_1_1_blob_memory_pool.xhtml#aceea990dd135afa94795f0ad3a532df5',1,'arm_compute::BlobMemoryPool::duplicate()'],['../classarm__compute_1_1_i_memory_pool.xhtml#af6c6c5e675fab42e482d11d02df2a79e',1,'arm_compute::IMemoryPool::duplicate()']]]
];