documentation/search/functions_11.js - platform/external/ComputeLibrary - Git at Google

 var searchData=
 [
   ['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 &amp;&amp;)=default']]],
   ['randombatchnormalizationlayerdataset',['RandomBatchNormalizationLayerDataset',['../classarm__compute_1_1test_1_1datasets_1_1_random_batch_normalization_layer_dataset.xhtml#a34a1071bfde7e9232990f70bdb5f7a75',1,'arm_compute::test::datasets::RandomBatchNormalizationLayerDataset']]],
   ['range',['range',['../classarm__compute_1_1_i_distribution1_d.xhtml#ac548d0ee88978d0ba481323aab25e46a',1,'arm_compute::IDistribution1D']]],
   ['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 &amp;&amp;)=default']]],
   ['raw',['raw',['../classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml#a3fe723fdc332e453550710b2925002a0',1,'arm_compute::test::fixed_point_arithmetic::fixed_point']]],
   ['rawlutaccessor',['RawLutAccessor',['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a240f6b5226a09537d27d812498b20318',1,'arm_compute::test::RawLutAccessor::RawLutAccessor(std::map&lt; T, T &gt; &amp;lut)'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ac73e9acd175097a3afe144cb38c1c648',1,'arm_compute::test::RawLutAccessor::RawLutAccessor(const RawLutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ab52bde5747185f43a35b851d202dae64',1,'arm_compute::test::RawLutAccessor::RawLutAccessor(RawLutAccessor &amp;&amp;)=default']]],
   ['rawtensor',['RawTensor',['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#ad5f076c202d054557fde207a7e3b3b41',1,'arm_compute::test::RawTensor::RawTensor(TensorShape shape, Format format, int fixed_point_position=0)'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#af878b348cac7129792bd35d9a016b2d4',1,'arm_compute::test::RawTensor::RawTensor(TensorShape shape, DataType data_type, int num_channels=1, int fixed_point_position=0)'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#aef0b9d628bdb5fe0a533a20e6c49e29f',1,'arm_compute::test::RawTensor::RawTensor(SimpleTensor&lt; T &gt; &amp;&amp;tensor)'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#ac1b3afa1c0a4618768b43a7a0d930cd6',1,'arm_compute::test::RawTensor::RawTensor(const RawTensor &amp;tensor)'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a5dcfdb740cfee882a573929d51e3cf9b',1,'arm_compute::test::RawTensor::RawTensor(RawTensor &amp;&amp;)=default']]],
   ['read_5ffile',['read_file',['../namespacearm__compute.xhtml#aefa4a4d3136d77b85cccfce344f9f37f',1,'arm_compute']]],
   ['read_5ftexels4',['read_texels4',['../warp__helpers_8h.xhtml#aba42442a4c991cdbb52727fa370676f1',1,'warp_helpers.h']]],
   ['reduction_5foperation',['reduction_operation',['../reduction__operation_8cl.xhtml#af8f01aa7a1c524a2a9e2674f2cbae54d',1,'reduction_operation():&#160;reduction_operation.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0959ac5a94af6e44f1e2b3124d6511f4',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa87350949ad1bfc7a723b31f9b08bf48',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; float &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)']]],
   ['reductionoperations',['ReductionOperations',['../classarm__compute_1_1test_1_1datasets_1_1_reduction_operations.xhtml#a5e696b945de1f229a7ddadd3ac6c44f4',1,'arm_compute::test::datasets::ReductionOperations']]],
   ['register_5ffixture_5fdata_5ftest_5fcase',['REGISTER_FIXTURE_DATA_TEST_CASE',['../namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a365d9325d2bba7fbf9983f80bfe8c796',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a2abd12df8c0c36eed83982ee073db2ff',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a8457ac77df7a142e86354ac08fd5ba30',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a80d1181d85aefe33d6a8720152dba80b',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#ac18e51057a61f7db456d1c8b9b03aa09',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a3e452462cb397897f476f6d83b468914',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#aecd85eec5df288174be9b7e0fac6d1fe',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#aea25c6951a5d4bcfeb95750105154506',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#ac62a5389a4a60e89fabb6bb2153adfc5',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a65a028ab7f8ba81db43d5963ea5343a4',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a6773bc983eece85b34d67c4ba3c09554',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a4bdfdac4318cf7e4b09cc13a553363a7',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a34df6fb97233366fc9083d79c13a5737',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a5a371e1a37be130dc9e8c905cd5efc29',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{1, 4})))'],['../namespacearm__compute_1_1test.xhtml#a7473924d4fdf2b5dec0d8ee9aa11e25d',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{1, 4, 8})))'],['../namespacearm__compute_1_1test.xhtml#ad7d919409d3d679cfbf28b2dae757fec',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvolution, CLDepthwiseConvolutionFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{1})))'],['../namespacearm__compute_1_1test.xhtml#a1f4b9eae17da2aebc223b0fdeee74cea',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseSeparableConvolutionLayer, CLDepthwiseSeparableConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseSeparableConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{1})))'],['../namespacearm__compute_1_1test.xhtml#ad52c9735c67d5972016f143cd15ea874',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#aa971f54dfef950c44d8973db82b91e4e',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#aa0a358cbff96894b77c9b3cfba3c2db4',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#afd1574f92e2d5a179c3c7f0e8e438bba',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a91a53a55f1c814837ea5374d1c2095e8',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a959373f15eeea41ce740f0bc0ce2244a',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#abb38304d29f99717ecc5c528962972a5',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#ae88c882e06dad040d2bb6278ef8c4c84',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#ab0595cda883cec6b1b3a5389fd786e9f',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{1, 4, 8})))'],['../namespacearm__compute_1_1test.xhtml#aabdb95f3f541376f38e03d63957cd0af',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{1, 4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a6e81878e7ca8fecdd9f6e6bcc2a7b794',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(Floor, CLFloorFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test.xhtml#ae5411ce056673117b799d20c1c9484dd',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#ae63877ff99387d51d4abc340a50f1093',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a49ab3e510552d29b5698d55ef52674c3',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a8cf1a9e06ce42b8ff57bf13aa2c2c047',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a8388dbd479dceaffb21c8fc564c5c420',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#ab8549a72a0983f5281a5612979669e2d',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#adb9a698039f2f9414f3296a4d9070893',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a6fef2cd462f91f3b071ee7d02322dbb6',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a463d7f372ea5c6217b8ee151b47f596e',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#ad5d101b25bb35a8d9b1efc70102bb3a4',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a2b1950a60a98dec32a7ca7531fded8ad',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, CLGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types))'],['../namespacearm__compute_1_1test.xhtml#aef76c7b3cf7d1e3c6fc7ff96804a5753',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, CLGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types))'],['../namespacearm__compute_1_1test.xhtml#af935c08091163839aead6ac3023c2147',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, CLGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types))'],['../namespacearm__compute_1_1test.xhtml#a70d28ab3b5936a6454451d42f3c170f3',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#afc6ba7f0f4b792e2df1270d8f83f138d',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#ae4dd72b2a2e5af0c89c5ce7d2443e115',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a62af6d63be834c648f251c0497e7b59f',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a0e999f1d9f9608da6fb4bbde4afc078e',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a0889351f9ee837c8009925f17dd4688b',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a903e3acaf54969c5d276058e979a753c',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a85078031088e419e7f928e5ad5bbafa9',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a27cf9c407e83adbf0c837240a6bc3534',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#afd017468a129b6650b73cb65ecc40516',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a36cad137a713f8be3263a1a6466c6bd7',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a4558b577be27af2ceffffd986b1aab7f',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a731977f1de2e0d6dd1512818540ab608',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a967825a64c529b573ca62e74179ee921',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#ac06bd6612edf1bbb0c0f4b0d4aa86b32',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a5f97a3f0575116d348f47489487d4214',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a6a51ef57457c994f04d0b54e76387add',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a7d579c9d463693975486ea2248adc966',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#ac7d54f1a842ebb07f378846c21ccbe97',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayer, CLROIPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIPoolingLayerDataset(), framework::dataset::make(&quot;DataType&quot;,{DataType::F16, DataType::F32})), framework::dataset::make(&quot;Batches&quot;,{1, 4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a69b2d4f81544c38878bd196d49d41360',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNet, CLAlexNetFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::make(&quot;DataType&quot;,{DataType::F16, DataType::F32}), framework::dataset::make(&quot;Batches&quot;,{1, 4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a485c6b6af55e2f12c1b7ef40546c08f7',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5, CLLeNet5Fixture, framework::DatasetMode::ALL, framework::dataset::make(&quot;Batches&quot;,{1, 4, 8}))'],['../namespacearm__compute_1_1test.xhtml#abfd4fd028574ac46a9d056e7a1ead6f7',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a70381b263268259b4b6fbff88a0526c4',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#add697a0c19a1638874c37d5d15fc2d83',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a117bc733390c845f7493e6dad0b75191',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a70f04129817692e0b5727fb542f9153c',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#ab10eddd065a1bdb9c6b09cb1e1382f5a',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a572b94c09ce496eda95d8d544dc1c4d1',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a7677396611ac11166c6f7344f9e0ef12',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a1afabd3008ddf541288b01fe746ab284',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a164c7e1e8e2e4de0ce6282d2b0835dd0',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a6ada452bc1053385b8574f38d341ffc9',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a6692a58c12e2eff315715e6c971d0230',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a26e3678291b5f879d82808eda0d39bc2',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#ab77581768cf2f7433ba92c2b42c4617e',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a9e4dd8377091a877cf271bb34f2ed7da',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a09be4cd69df94f0929598f03b32001f0',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#aa37f90a45822a6f45002ad5fd1e69560',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#aa93e94a58a377d2493868e24d746531b',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a4fc639ce3410d3609337137d44a68ac9',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a7da7dbada8d8e076c78d1402743b7de9',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a9c30ac20d9eae69db3b004f36d8efaca',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#abe4e6a4ff5c68a5403ec4dc38149d097',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a2a91a938df2a246bb92811fe90bf5ee0',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a8c86e43926d24040dbbc73e5ad638dea',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a11c4e187683f0687472d48d8f279c8fc',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a3df552423cbf598c725b9dc615f06315',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a4470fc8180788f756fccdb77f9a25886',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a029d80ad64be335749e827cc64efd88c',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a68166bcb788035f5a6c17fe0c68ae730',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{1, 4})))'],['../namespacearm__compute_1_1test.xhtml#a0ca04d4de125be45c16b579b43d53835',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{1, 4, 8})))'],['../namespacearm__compute_1_1test.xhtml#abe7167f9af260495f067dd8f36251a3b',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#adc3f7b3f1d06144af1980e8705253583',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a9cc3e01ede750344f389191184d4682d',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a9c7a41c764eb85334c2d75df71d40cc4',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#ad8c07298bae2d7cd7ace3ad869371b0b',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a981537b01124fe1025ab51dfe0dde1ee',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a27446bd5b343d26d6028cd2ab34065a6',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a13170587db62e123a041d2b8cab82ef8',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a1f92978c7363135053baa95b94501676',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{1, 4, 8})))'],['../namespacearm__compute_1_1test.xhtml#af3310a6693b1d28b4d474e2a025b8777',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{1, 4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a6faf0b684dd2c7e5bb111dd8f8f8c6f1',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(Floor, NEFloorFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test.xhtml#a16176f104b13866fa9c0379d3fd9ef1f',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#ad83dbea09b27679e5c1d7950ae035f3a',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a597d20f8105ae670eccdc44b0486ad4e',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a033a42b308036c4e46a8bef7536d88f9',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a4b45a5a8afe0c81a4aafef1ba2ba96e8',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a4325316dca63988d0c63c8e761143557',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a4ecb06077e2a789221648d0479e61809',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#adeee41f0a436718ca296fc99f2e2a151',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#af5e14e7ca5ce517a75fb019b02108797',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a1d77d86fcdca1b8578756eae70fcac85',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a1d515029981b77ba7d02f20251013a3b',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types))'],['../namespacearm__compute_1_1test.xhtml#a5dbda869f12c5e1ffa17a2dce7e82609',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types))'],['../namespacearm__compute_1_1test.xhtml#ac9eaa20c5215f43c16202896b7ea9118',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, NEGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types))'],['../namespacearm__compute_1_1test.xhtml#a3d815590d056717dde89027c469fba5a',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a04a6f03a4f0b85f507735cd409a8b74d',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a962c45074ad2b94899bc7003b3db0509',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#ab17878545b689878d626f8e2298d2b1b',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#af33a8fe45c20501be3c2fa7aaa32bf26',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a7d7ea7b966b70d0931772f51a2cfcdb0',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#ac4a14a4ebd0a6067fa657e06d6e6d9ec',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a97400b4e200d00d86169b2afc584d2e3',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#aa7edcfdce59bb3cb0f1ed784a28fb6d2',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#ab644feafdb4a10f39c7e4acca32744eb',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a49f6de6126e559d77c77ec1252ead9e1',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test.xhtml#a8050efac909e6e8fce5791d2205fe0a8',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a0a1da94fb11977ec74784861c2c56246',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#ad5101e30d9b5306231c7ed2ce71f350b',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#ad0b2b0d1564cc6c5ac951a7b8e59bda8',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#aa973f66482fdadbd2ab72cdb6face4b5',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a9adba78f24e5c87b2c95a1c5e23883e9',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a03474ce6764bea95de0edb583d281017',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))'],['../namespacearm__compute_1_1test.xhtml#aa14390b7bed93ce327f5dedd89fc8928',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayer, NEROIPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIPoolingLayerDataset(), framework::dataset::make(&quot;DataType&quot;,{DataType::F32})), framework::dataset::make(&quot;Batches&quot;,{1, 4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a4fa3f7aa92292c25a9876a3b1cded7c9',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNet, NEAlexNetFixture, framework::DatasetMode::ALL, framework::dataset::combine(alex_net_data_types, framework::dataset::make(&quot;Batches&quot;,{1, 4, 8})))'],['../namespacearm__compute_1_1test.xhtml#a9ba464da0fc25dbd0cb96fe5c61494c4',1,'arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5, NELeNet5Fixture, framework::DatasetMode::ALL, framework::dataset::make(&quot;Batches&quot;,{1, 4, 8}))']]],
   ['register_5fgroup',['register_group',['../classarm__compute_1_1_blob_lifetime_manager.xhtml#a93fc2c6a7ebb5d8f44c67d492347d054',1,'arm_compute::BlobLifetimeManager::register_group()'],['../classarm__compute_1_1_i_lifetime_manager.xhtml#af9aed2d52d9469aa2a49f8c7ece1f082',1,'arm_compute::ILifetimeManager::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()']]],
   ['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_1_blob_memory_pool.xhtml#af47c67ca8d1961b09543879bb734e8be',1,'arm_compute::BlobMemoryPool::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_memory_group_base.xhtml#ad7ed3842c3160ae4b9f51acbf4564438',1,'arm_compute::MemoryGroupBase::release()']]],
   ['relu_5fop',['relu_op',['../activation__layer_8cl.xhtml#a75e592782269093560081144973b1227',1,'activation_layer.cl']]],
   ['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_5fdimension',['remove_dimension',['../classarm__compute_1_1_tensor_shape.xhtml#acb74edf42335de0dca0da5158b704c4b',1,'arm_compute::TensorShape']]],
   ['required_5fpadding',['required_padding',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a2435ae6ac8638f53c4f315d3f11e84a7',1,'arm_compute::test::PaddingCalculator::required_padding() const '],['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a60c75fe00658b7111117dab64d41467e',1,'arm_compute::test::PaddingCalculator::required_padding(Option option) const ']]],
   ['rescale',['rescale',['../classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml#a80db15090eed5a0bb5e7977eabeae132',1,'arm_compute::test::fixed_point_arithmetic::fixed_point']]],
   ['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()']]],
   ['reshape_5flayer',['reshape_layer',['../reshape__layer_8cl.xhtml#acdcb27be2437616997a28a2d8ba45315',1,'reshape_layer():&#160;reshape_layer.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#adeeeba93b83ffdad47f4357c08cfea0e',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afea45dc2b397b75108739c4300aa18ad',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor&lt; uint8_t &gt; &amp;src, const TensorShape &amp;output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a572f373a0f24d9e7d749454280411318',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor&lt; int8_t &gt; &amp;src, const TensorShape &amp;output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a79a315f543d17f87f44d7b142e1efbbe',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor&lt; uint16_t &gt; &amp;src, const TensorShape &amp;output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1b2ecbb6f4180bb42c65ed575c8fd313',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor&lt; int16_t &gt; &amp;src, const TensorShape &amp;output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a42623cecebd86038ac287252a1ead241',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor&lt; uint32_t &gt; &amp;src, const TensorShape &amp;output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1406fe85a6bec4007f13cc57c4e99767',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor&lt; int32_t &gt; &amp;src, const TensorShape &amp;output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a60d98374b4adcd883653831e70b13b4c',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor&lt; half &gt; &amp;src, const TensorShape &amp;output_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac3850e0704ba9d6ef260170e87ca1e66',1,'arm_compute::test::validation::reference::reshape_layer(const SimpleTensor&lt; float &gt; &amp;src, const TensorShape &amp;output_shape)']]],
   ['reshape_5fto_5fcolumns',['reshape_to_columns',['../convolution__layer_8cl.xhtml#ab6358b28d1e7bc946950075d94412013',1,'convolution_layer.cl']]],
   ['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()']]],
   ['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_5fyuv444_5fbt709',['RGB888_to_YUV444_bt709',['../color__convert_8cl.xhtml#a917c100f2da4a0e773bb63dd4f87de0b',1,'color_convert.cl']]],
   ['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']]],
   ['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#a635f6123e4bdfef756e8959061a743b5',1,'roi_pooling_layer.cl']]],
   ['roipoolinglayerinfo',['ROIPoolingLayerInfo',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml#aeb18f7aaaa12486cd2cf6499c19059db',1,'arm_compute::ROIPoolingLayerInfo']]],
   ['round',['round',['../classarm__compute_1_1_pad_stride_info.xhtml#a3d7de69b5d597f77362f3279c6ec1c44',1,'arm_compute::PadStrideInfo::round()'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#ab71c35ca207b916a9f8b0336ab88484e',1,'arm_compute::support::cpp11::round()']]],
   ['round_5fhalf_5feven',['round_half_even',['../namespacearm__compute_1_1test.xhtml#ad93bb148a873f19ad7692756e59617f4',1,'arm_compute::test']]],
   ['round_5fhalf_5fup',['round_half_up',['../namespacearm__compute_1_1test.xhtml#af4bcf30f8c56f547f66d61c7c5ae01db',1,'arm_compute::test']]],
   ['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_arithmetic_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLArithmeticSubtractionKernel::run()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBatchNormalizationLayerKernel::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_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_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_convolution_rectangle_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLConvolutionRectangleKernel::run()'],['../classarm__compute_1_1_c_l_depth_concatenate_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthConcatenateKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolution3x3Kernel::run()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseIm2ColKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseVectorToTensorKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::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_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_fill_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFillBorderKernel::run()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFloorKernel::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_interleave4x4_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMInterleave4x4Kernel::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_matrix_accumulate_biases_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixAdditionKernel::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_vector_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHarrisScoreKernel::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_integral_image_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLIntegralImageVertKernel::run()'],['../classarm__compute_1_1_c_l_l2_normalize_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLL2NormalizeKernel::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_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_pixel_wise_multiplication_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPoolingLayerKernel::run()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLQuantizationLayerKernel::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_reshape_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReshapeLayerKernel::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_scharr3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLScharr3x3Kernel::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_norm_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DNormKernel::run()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWeightsReshapeKernel::run()'],['../classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef',1,'arm_compute::ICPPKernel::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_sort_euclidean_distance_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPSortEuclideanDistanceKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_a_arch32_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMAArch32Kernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_a_arch64_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMAArch64Kernel::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_weighted_f_p16_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateWeightedFP16Kernel::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_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBatchNormalizationLayerKernel::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_box3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBox3x3Kernel::run()'],['../classarm__compute_1_1_n_e_box3x3_f_p16_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBox3x3FP16Kernel::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_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_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_cumulative_distribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECumulativeDistributionKernel::run()'],['../classarm__compute_1_1_n_e_depth_concatenate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthConcatenateKernel::run()'],['../classarm__compute_1_1_n_e_depth_convert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthConvertKernel::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_bias_accumulate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDirectConvolutionLayerBiasAccumulateKernel::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDirectConvolutionLayerKernel::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_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_floor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFloorKernel::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_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_transpose1x_w_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHarrisScoreKernel::run()'],['../classarm__compute_1_1_n_e_harris_score_f_p16_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHarrisScoreFP16Kernel::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_integral_image_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEIntegralImageKernel::run()'],['../classarm__compute_1_1_n_e_l2_normalize_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEL2NormalizeKernel::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_magnitude_phase_f_p16_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMagnitudePhaseFP16Kernel::run()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMeanStdDevKernel::run()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMedian3x3Kernel::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_pixel_wise_multiplication_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPoolingLayerKernel::run()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEQuantizationLayerKernel::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_reshape_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReshapeLayerKernel::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_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_shift_exp_sum_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELogits1DShiftExpSumKernel::run()'],['../classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELogits1DNormKernel::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_transpose_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETransposeKernel::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_1graph_1_1_c_l_map.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::graph::CLMap::run()'],['../classarm__compute_1_1graph_1_1_c_l_unmap.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::graph::CLUnmap::run()'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::graph::Graph::run()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLBatchNormalizationLayer::run()'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#a108972ffc2f5536ceee15428b2b130ad',1,'arm_compute::CLCannyEdge::run()'],['../classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionSquare::run()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_depth_concatenate.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthConcatenate::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution3x3.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseConvolution3x3::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseConvolution::run()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDequantizationLayer::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDirectConvolutionLayer::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_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFullyConnectedLayer::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_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMM::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMMLowp::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.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLL2Normalize::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_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_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLOpticalFlow::run()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLQuantizationLayer::run()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLReductionOperation::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.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSoftmaxLayer::run()'],['../classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e',1,'arm_compute::ICLSimpleFunction::run()'],['../classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b',1,'arm_compute::IFunction::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_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionSquare::run()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_depth_concatenate.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthConcatenate::run()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDequantizationLayer::run()'],['../classarm__compute_1_1_n_e_derivative.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDerivative::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_fill_border.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFillBorder::run()'],['../classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFullyConnectedLayerReshapeWeights::run()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFullyConnectedLayer::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_lowp.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMLowp::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_l2_normalize.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEL2Normalize::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_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_pooling_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEPoolingLayer::run()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEQuantizationLayer::run()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEReductionOperation::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_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.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESoftmaxLayer::run()'],['../classarm__compute_1_1_i_n_e_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e',1,'arm_compute::INESimpleFunction::run()'],['../classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::ActivationLayerFixture::run()'],['../classarm__compute_1_1test_1_1_alex_net_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::AlexNetFixture::run()'],['../classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::BatchNormalizationLayerFixture::run()'],['../classarm__compute_1_1test_1_1_convolution_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::ConvolutionLayerFixture::run()'],['../classarm__compute_1_1test_1_1_depthwise_convolution_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::DepthwiseConvolutionFixture::run()'],['../classarm__compute_1_1test_1_1_depthwise_separable_convolution_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::DepthwiseSeparableConvolutionLayerFixture::run()'],['../classarm__compute_1_1test_1_1_floor_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::FloorFixture::run()'],['../classarm__compute_1_1test_1_1_fully_connected_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::FullyConnectedLayerFixture::run()'],['../classarm__compute_1_1test_1_1_g_e_m_m_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::GEMMFixture::run()'],['../classarm__compute_1_1test_1_1_le_net5_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::LeNet5Fixture::run()'],['../classarm__compute_1_1test_1_1_normalization_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::NormalizationLayerFixture::run()'],['../classarm__compute_1_1test_1_1_pooling_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::PoolingLayerFixture::run()'],['../classarm__compute_1_1test_1_1_r_o_i_pooling_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::ROIPoolingLayerFixture::run()'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a149ad6701e3e2414cb566bb414029841',1,'arm_compute::test::framework::Framework::run()'],['../classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::networks::AlexNetNetwork::run()'],['../classarm__compute_1_1test_1_1networks_1_1_le_net5_network.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::test::networks::LeNet5Network::run()']]],
   ['run_5fexample',['run_example',['../namespacearm__compute_1_1utils.xhtml#a4c9395db2c8b8d0c336656a7b58fca3e',1,'arm_compute::utils']]]
 ];