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5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 5),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true})), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b6fe9d1f1a157a4208b976d197d4f04',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, 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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;Scale&quot;,{2.f, 2.f, 2.f,-1.f, 1.f, 1.f, 1.f, 1.f, 3.f})), framework::dataset::make(&quot;Expected&quot;,{true, true, false, false, false, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47e7a0c703e8e092534551b3a614f084',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS16, 11), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), 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framework::dataset::make(&quot;PoolInfo&quot;,{PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false, true})), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6da83731448ca19e1a954872f123f45c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, 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framework::dataset::make(&quot;ConvolvedHeight&quot;,{4, 4, 4, 4, 4})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true})), input_info, output_info, convolved_width, convolved_height, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a793e248a361022afcb4c80450415b8dd',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::LargeDepthwiseConvolutionLayerDataset3x3()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), input_shape, weights_shape, bias_shape, output_shape, info, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72a64c233879d9e811495d201031ee61',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), 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TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(64U, 16U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(8U, 11U), 1, DataType::S32), TensorInfo(TensorShape(64U, 32U), 1, DataType::S32),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true})), a_info, b_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a01cbfbd5aab74c85cdac08a60f26288a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;,{TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), 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DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;NormInfo&quot;,{NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 1),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true})), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a561cc4612c658b22561a7e8bb659ed18',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), framework::dataset::make(&quot;Input2Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS16, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;Scale&quot;,{scale_unity, scale_unity, scale_unity,-1.f, scale_unity, scale_unity, scale_unity, scale_unity, 3.f})), framework::dataset::make(&quot;Expected&quot;,{true, true, false, false, false, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ae7460640c71d16d6a8a9f582ac6064',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)), shape, dt1, dt2, scale, convert_policy, rounding_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27ac60db7db3cedacf4b351107c38c76',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS16, 11), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS8, 5), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS16, 11), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;PoolInfo&quot;,{PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false, true})), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa9eed316785a6b4a608639e6da60f08b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;,{SamplingPolicy::CENTER})), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af4d6e3d65360b21e82835490dc160f8b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, 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+  ['depthwiseconvolutionlayervalidationquantizedfixture',['DepthwiseConvolutionLayerValidationQuantizedFixture',['../classarm__compute_1_1test_1_1validation_1_1_depthwise_convolution_layer_validation_quantized_fixture.xhtml',1,'arm_compute::test::validation']]],
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+  ['depthwiseseparableconvolutionlayer_2ecpp',['DepthwiseSeparableConvolutionLayer.cpp',['../validation_2_n_e_o_n_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'']]],
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index 26706a5..0be6574 100644
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+  ['poolinglayervalidationgenericfixture',['PoolingLayerValidationGenericFixture',['../classarm__compute_1_1test_1_1validation_1_1_pooling_layer_validation_generic_fixture.xhtml',1,'arm_compute::test::validation']]],
+  ['poolinglayervalidationquantizedfixture',['PoolingLayerValidationQuantizedFixture',['../classarm__compute_1_1test_1_1validation_1_1_pooling_layer_validation_quantized_fixture.xhtml',1,'arm_compute::test::validation']]],
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index 519b239..7d9c149 100644
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index 4cbf834..fc26b70 100644
--- a/documentation/search/classes_11.js
+++ b/documentation/search/classes_11.js
@@ -1,5 +1,7 @@
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index 4240e9f..1f1842b 100644
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index 3c4a361..d58a223 100644
--- a/documentation/search/classes_12.js
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+  ['remapvalidationfixture',['RemapValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_remap_validation_fixture.xhtml',1,'arm_compute::test::validation']]],
+  ['reshapelayer',['ReshapeLayer',['../classarm__compute_1_1graph_1_1_reshape_layer.xhtml',1,'arm_compute::graph']]],
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index 3c44c2d..59251e1 100644
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index ffdb593..9811124 100644
--- a/documentation/search/classes_13.js
+++ b/documentation/search/classes_13.js
@@ -1,13 +1,17 @@
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+  ['scharrvalidationfixture',['ScharrValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_scharr_validation_fixture.xhtml',1,'arm_compute::test::validation']]],
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   ['simpletensor_3c_20float_20_3e',['SimpleTensor&lt; float &gt;',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml',1,'arm_compute::test']]],
+  ['simpletensor_3c_20int32_5ft_20_3e',['SimpleTensor&lt; int32_t &gt;',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml',1,'arm_compute::test']]],
   ['simpletensor_3c_20t2_20_3e',['SimpleTensor&lt; T2 &gt;',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml',1,'arm_compute::test']]],
+  ['simpletensor_3c_20t3_20_3e',['SimpleTensor&lt; T3 &gt;',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml',1,'arm_compute::test']]],
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-  ['subtensor',['SubTensor',['../classarm__compute_1_1_sub_tensor.xhtml',1,'arm_compute']]],
+  ['stringdecorator',['StringDecorator',['../classarm__compute_1_1logging_1_1_string_decorator.xhtml',1,'arm_compute::logging']]],
+  ['subgraph',['SubGraph',['../classarm__compute_1_1graph_1_1_sub_graph.xhtml',1,'arm_compute::graph']]],
   ['subtensor',['SubTensor',['../classarm__compute_1_1graph_1_1_sub_tensor.xhtml',1,'arm_compute::graph']]],
+  ['subtensor',['SubTensor',['../classarm__compute_1_1_sub_tensor.xhtml',1,'arm_compute']]],
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index 6aeae25..142f0ee 100644
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-  ['tensor4d',['Tensor4D',['../struct_tensor4_d.xhtml',1,'']]],
+  ['tensor4d',['Tensor4D',['../class_tensor4_d.xhtml',1,'']]],
+  ['tensor4dshape',['Tensor4DShape',['../struct_tensor4_d_shape.xhtml',1,'']]],
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+  ['threadiddecorator',['ThreadIdDecorator',['../classarm__compute_1_1logging_1_1_thread_id_decorator.xhtml',1,'arm_compute::logging']]],
   ['threadinfo',['ThreadInfo',['../structarm__compute_1_1_thread_info.xhtml',1,'arm_compute']]],
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   ['toggleoption',['ToggleOption',['../classarm__compute_1_1test_1_1framework_1_1_toggle_option.xhtml',1,'arm_compute::test::framework']]],
+  ['topnpredictionsaccessor',['TopNPredictionsAccessor',['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml',1,'arm_compute::graph_utils']]],
   ['transformimpl',['TransformImpl',['../struct_transform_impl.xhtml',1,'']]],
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-  ['typedmeasurement',['TypedMeasurement',['../structarm__compute_1_1test_1_1framework_1_1_typed_measurement.xhtml',1,'arm_compute::test::framework']]],
-  ['typedmeasurement_3c_20double_20_3e',['TypedMeasurement&lt; double &gt;',['../structarm__compute_1_1test_1_1framework_1_1_typed_measurement.xhtml',1,'arm_compute::test::framework']]]
+  ['transposevalidationfixture',['TransposeValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_transpose_validation_fixture.xhtml',1,'arm_compute::test::validation']]]
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index 46b5e1e..87ace5c 100644
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index 007b811..eb9d393 100644
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index 2119dcc..fec0442 100644
--- a/documentation/search/classes_16.js
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@@ -1,6 +1,7 @@
 var searchData=
 [
   ['validregion',['ValidRegion',['../structarm__compute_1_1_valid_region.xhtml',1,'arm_compute']]],
+  ['value',['Value',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml',1,'arm_compute::test::framework::Measurement']]],
   ['vector',['Vector',['../struct_vector.xhtml',1,'']]],
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index c3d936d..b233ea1 100644
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index 1ad0038..89e8372 100644
--- a/documentation/search/classes_17.js
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   ['weightsinfo',['WeightsInfo',['../classarm__compute_1_1_weights_info.xhtml',1,'arm_compute']]],
-  ['window',['Window',['../classarm__compute_1_1_window.xhtml',1,'arm_compute']]]
+  ['window',['Window',['../classarm__compute_1_1_window.xhtml',1,'arm_compute']]],
+  ['winograd3x3f32',['Winograd3x3F32',['../classarm__compute_1_1_winograd3x3_f32.xhtml',1,'arm_compute']]],
+  ['winogradlayervalidationfixture',['WinogradLayerValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_winograd_layer_validation_fixture.xhtml',1,'arm_compute::test::validation']]]
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index 5e1f8c2..17b626e 100644
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index a12c5e5..9ac6829 100644
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index f65d263..014caf8 100644
--- a/documentation/search/classes_2.html
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diff --git a/documentation/search/classes_2.js b/documentation/search/classes_2.js
index baa634c..72828ab 100644
--- a/documentation/search/classes_2.js
+++ b/documentation/search/classes_2.js
@@ -13,5 +13,7 @@
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   ['bordersize',['BorderSize',['../structarm__compute_1_1_border_size.xhtml',1,'arm_compute']]],
-  ['box3x3validationfixture',['Box3x3ValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_box3x3_validation_fixture.xhtml',1,'arm_compute::test::validation']]]
+  ['box3x3validationfixture',['Box3x3ValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_box3x3_validation_fixture.xhtml',1,'arm_compute::test::validation']]],
+  ['branchlayer',['BranchLayer',['../classarm__compute_1_1graph_1_1_branch_layer.xhtml',1,'arm_compute::graph']]],
+  ['bufferparam',['BufferParam',['../classarm__compute_1_1_i_g_c_kernel_1_1_buffer_param.xhtml',1,'arm_compute::IGCKernel']]]
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index 927e837..2e97201 100644
--- a/documentation/search/classes_3.html
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index 7ee1f6a..01c7941 100644
--- a/documentation/search/classes_3.js
+++ b/documentation/search/classes_3.js
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   ['clbufferallocator',['CLBufferAllocator',['../classarm__compute_1_1_c_l_buffer_allocator.xhtml',1,'arm_compute']]],
+  ['clbuildoptions',['CLBuildOptions',['../classarm__compute_1_1_c_l_build_options.xhtml',1,'arm_compute']]],
   ['clcannyedge',['CLCannyEdge',['../classarm__compute_1_1_c_l_canny_edge.xhtml',1,'arm_compute']]],
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@@ -51,13 +52,13 @@
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   ['clcopytoarraykernel',['CLCopyToArrayKernel',['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml',1,'arm_compute']]],
-  ['cldepthconcatenate',['CLDepthConcatenate',['../classarm__compute_1_1_c_l_depth_concatenate.xhtml',1,'arm_compute']]],
-  ['cldepthconcatenatekernel',['CLDepthConcatenateKernel',['../classarm__compute_1_1_c_l_depth_concatenate_kernel.xhtml',1,'arm_compute']]],
-  ['cldepthconvert',['CLDepthConvert',['../classarm__compute_1_1_c_l_depth_convert.xhtml',1,'arm_compute']]],
-  ['cldepthconvertkernel',['CLDepthConvertKernel',['../classarm__compute_1_1_c_l_depth_convert_kernel.xhtml',1,'arm_compute']]],
-  ['cldepthwiseconvolution',['CLDepthwiseConvolution',['../classarm__compute_1_1_c_l_depthwise_convolution.xhtml',1,'arm_compute']]],
-  ['cldepthwiseconvolution3x3',['CLDepthwiseConvolution3x3',['../classarm__compute_1_1_c_l_depthwise_convolution3x3.xhtml',1,'arm_compute']]],
-  ['cldepthwiseconvolution3x3kernel',['CLDepthwiseConvolution3x3Kernel',['../classarm__compute_1_1_c_l_depthwise_convolution3x3_kernel.xhtml',1,'arm_compute']]],
+  ['cldepthconcatenatelayer',['CLDepthConcatenateLayer',['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml',1,'arm_compute']]],
+  ['cldepthconcatenatelayerkernel',['CLDepthConcatenateLayerKernel',['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml',1,'arm_compute']]],
+  ['cldepthconvertlayer',['CLDepthConvertLayer',['../classarm__compute_1_1_c_l_depth_convert_layer.xhtml',1,'arm_compute']]],
+  ['cldepthconvertlayerkernel',['CLDepthConvertLayerKernel',['../classarm__compute_1_1_c_l_depth_convert_layer_kernel.xhtml',1,'arm_compute']]],
+  ['cldepthwiseconvolutionlayer',['CLDepthwiseConvolutionLayer',['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml',1,'arm_compute']]],
+  ['cldepthwiseconvolutionlayer3x3',['CLDepthwiseConvolutionLayer3x3',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml',1,'arm_compute']]],
+  ['cldepthwiseconvolutionlayer3x3kernel',['CLDepthwiseConvolutionLayer3x3Kernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_kernel.xhtml',1,'arm_compute']]],
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-  ['clgemmlowp',['CLGEMMLowp',['../classarm__compute_1_1_c_l_g_e_m_m_lowp.xhtml',1,'arm_compute']]],
+  ['clgemmlowpmatrixareductionkernel',['CLGEMMLowpMatrixAReductionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml',1,'arm_compute']]],
+  ['clgemmlowpmatrixbreductionkernel',['CLGEMMLowpMatrixBReductionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml',1,'arm_compute']]],
+  ['clgemmlowpmatrixmultiplycore',['CLGEMMLowpMatrixMultiplyCore',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml',1,'arm_compute']]],
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+  ['clgemmlowpoffsetcontributionkernel',['CLGEMMLowpOffsetContributionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml',1,'arm_compute']]],
+  ['clgemmlowpquantizedownint32touint8scale',['CLGEMMLowpQuantizeDownInt32ToUint8Scale',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml',1,'arm_compute']]],
+  ['clgemmlowpquantizedownint32touint8scalebyfixedpoint',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml',1,'arm_compute']]],
+  ['clgemmlowpquantizedownint32touint8scalebyfixedpointkernel',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml',1,'arm_compute']]],
+  ['clgemmlowpquantizedownint32touint8scalekernel',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml',1,'arm_compute']]],
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@@ -125,8 +133,8 @@
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-  ['cll2normalize',['CLL2Normalize',['../classarm__compute_1_1_c_l_l2_normalize.xhtml',1,'arm_compute']]],
-  ['cll2normalizekernel',['CLL2NormalizeKernel',['../classarm__compute_1_1_c_l_l2_normalize_kernel.xhtml',1,'arm_compute']]],
+  ['cll2normalizelayer',['CLL2NormalizeLayer',['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml',1,'arm_compute']]],
+  ['cll2normalizelayerkernel',['CLL2NormalizeLayerKernel',['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml',1,'arm_compute']]],
   ['cllaplacianpyramid',['CLLaplacianPyramid',['../classarm__compute_1_1_c_l_laplacian_pyramid.xhtml',1,'arm_compute']]],
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+  ['cpppermute',['CPPPermute',['../classarm__compute_1_1_c_p_p_permute.xhtml',1,'arm_compute']]],
+  ['cpppermutekernel',['CPPPermuteKernel',['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml',1,'arm_compute']]],
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index eac3176..d839376 100644
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+  ['deconvolutionvalidationfixture',['DeconvolutionValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_deconvolution_validation_fixture.xhtml',1,'arm_compute::test::validation']]],
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   ['directconvolutionvalidationfixture',['DirectConvolutionValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_fixture.xhtml',1,'arm_compute::test::validation']]],
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+  ['directconvolutionvalidationquantizedfixture',['DirectConvolutionValidationQuantizedFixture',['../classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_quantized_fixture.xhtml',1,'arm_compute::test::validation']]],
+  ['directconvolutionvalidationwithtensorshapesfixture',['DirectConvolutionValidationWithTensorShapesFixture',['../classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_fixture.xhtml',1,'arm_compute::test::validation']]],
+  ['directconvolutionvalidationwithtensorshapesquantizedfixture',['DirectConvolutionValidationWithTensorShapesQuantizedFixture',['../classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_with_tensor_shapes_quantized_fixture.xhtml',1,'arm_compute::test::validation']]],
   ['distribution1d',['Distribution1D',['../classarm__compute_1_1_distribution1_d.xhtml',1,'arm_compute']]],
+  ['dropoutlayervalidationfixture',['DropoutLayerValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_dropout_layer_validation_fixture.xhtml',1,'arm_compute::test::validation']]],
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index 154ed8e..b2714b1 100644
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+  ['enumoption',['EnumOption',['../classarm__compute_1_1test_1_1framework_1_1_enum_option.xhtml',1,'arm_compute::test::framework']]],
+  ['erodevalidationfixture',['ErodeValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_erode_validation_fixture.xhtml',1,'arm_compute::test::validation']]]
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index cd5af51..91a5c50 100644
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@@ -1,9 +1,13 @@
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+  ['fixedpointpixelwisemultiplicationvalidationfixture',['FixedPointPixelWiseMultiplicationValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_fixed_point_pixel_wise_multiplication_validation_fixture.xhtml',1,'arm_compute::test::validation']]],
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+  ['flattenlayer',['FlattenLayer',['../classarm__compute_1_1graph_1_1_flatten_layer.xhtml',1,'arm_compute::graph']]],
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+  ['fullyconnectedlayervalidationgenericfixture',['FullyConnectedLayerValidationGenericFixture',['../classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_generic_fixture.xhtml',1,'arm_compute::test::validation']]],
+  ['fullyconnectedlayervalidationquantizedfixture',['FullyConnectedLayerValidationQuantizedFixture',['../classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_quantized_fixture.xhtml',1,'arm_compute::test::validation']]],
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index 9e5f5c9..fd67346 100644
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diff --git a/documentation/search/classes_7.js b/documentation/search/classes_7.js
index f13ef7c..0d4c4a2 100644
--- a/documentation/search/classes_7.js
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+  ['gaussianpyramidhalfvalidationfixture',['GaussianPyramidHalfValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_gaussian_pyramid_half_validation_fixture.xhtml',1,'arm_compute::test::validation']]],
+  ['gcabsolutedifference',['GCAbsoluteDifference',['../classarm__compute_1_1_g_c_absolute_difference.xhtml',1,'arm_compute']]],
+  ['gcabsolutedifferencekernel',['GCAbsoluteDifferenceKernel',['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml',1,'arm_compute']]],
+  ['gcaccessor',['GCAccessor',['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml',1,'arm_compute::test']]],
+  ['gcactivationlayer',['GCActivationLayer',['../classarm__compute_1_1_g_c_activation_layer.xhtml',1,'arm_compute']]],
+  ['gcactivationlayerkernel',['GCActivationLayerKernel',['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml',1,'arm_compute']]],
+  ['gcbatchnormalizationlayer',['GCBatchNormalizationLayer',['../classarm__compute_1_1_g_c_batch_normalization_layer.xhtml',1,'arm_compute']]],
+  ['gcbatchnormalizationlayerkernel',['GCBatchNormalizationLayerKernel',['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml',1,'arm_compute']]],
+  ['gccol2imkernel',['GCCol2ImKernel',['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml',1,'arm_compute']]],
+  ['gcdepthconcatenatelayer',['GCDepthConcatenateLayer',['../classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml',1,'arm_compute']]],
+  ['gcdepthconcatenatelayerkernel',['GCDepthConcatenateLayerKernel',['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml',1,'arm_compute']]],
+  ['gcdirectconvolutionlayer',['GCDirectConvolutionLayer',['../classarm__compute_1_1_g_c_direct_convolution_layer.xhtml',1,'arm_compute']]],
+  ['gcdirectconvolutionlayerkernel',['GCDirectConvolutionLayerKernel',['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml',1,'arm_compute']]],
+  ['gcdropoutlayer',['GCDropoutLayer',['../classarm__compute_1_1_g_c_dropout_layer.xhtml',1,'arm_compute']]],
+  ['gcdropoutlayerkernel',['GCDropoutLayerKernel',['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml',1,'arm_compute']]],
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+  ['gcfullyconnectedlayerreshapeweights',['GCFullyConnectedLayerReshapeWeights',['../classarm__compute_1_1_g_c_fully_connected_layer_reshape_weights.xhtml',1,'arm_compute']]],
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+  ['gckernel',['GCKernel',['../classarm__compute_1_1_g_c_kernel.xhtml',1,'arm_compute']]],
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+  ['gclogits1dmaxkernel',['GCLogits1DMaxKernel',['../classarm__compute_1_1_g_c_logits1_d_max_kernel.xhtml',1,'arm_compute']]],
+  ['gclogits1dnormkernel',['GCLogits1DNormKernel',['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml',1,'arm_compute']]],
+  ['gclogits1dshiftexpsumkernel',['GCLogits1DShiftExpSumKernel',['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml',1,'arm_compute']]],
+  ['gcnormalizationlayer',['GCNormalizationLayer',['../classarm__compute_1_1_g_c_normalization_layer.xhtml',1,'arm_compute']]],
+  ['gcnormalizationlayerkernel',['GCNormalizationLayerKernel',['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml',1,'arm_compute']]],
+  ['gcpixelwisemultiplication',['GCPixelWiseMultiplication',['../classarm__compute_1_1_g_c_pixel_wise_multiplication.xhtml',1,'arm_compute']]],
+  ['gcpixelwisemultiplicationkernel',['GCPixelWiseMultiplicationKernel',['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml',1,'arm_compute']]],
+  ['gcpoolinglayer',['GCPoolingLayer',['../classarm__compute_1_1_g_c_pooling_layer.xhtml',1,'arm_compute']]],
+  ['gcpoolinglayerkernel',['GCPoolingLayerKernel',['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml',1,'arm_compute']]],
+  ['gcprogram',['GCProgram',['../classarm__compute_1_1_g_c_program.xhtml',1,'arm_compute']]],
+  ['gcscheduler',['GCScheduler',['../classarm__compute_1_1_g_c_scheduler.xhtml',1,'arm_compute']]],
+  ['gcsoftmaxlayer',['GCSoftmaxLayer',['../classarm__compute_1_1_g_c_softmax_layer.xhtml',1,'arm_compute']]],
+  ['gctensor',['GCTensor',['../classarm__compute_1_1_g_c_tensor.xhtml',1,'arm_compute']]],
+  ['gctensorallocator',['GCTensorAllocator',['../classarm__compute_1_1_g_c_tensor_allocator.xhtml',1,'arm_compute']]],
+  ['gctranspose',['GCTranspose',['../classarm__compute_1_1_g_c_transpose.xhtml',1,'arm_compute']]],
+  ['gctransposekernel',['GCTransposeKernel',['../classarm__compute_1_1_g_c_transpose_kernel.xhtml',1,'arm_compute']]],
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   ['gemmfixture',['GEMMFixture',['../classarm__compute_1_1test_1_1_g_e_m_m_fixture.xhtml',1,'arm_compute::test']]],
+  ['gemminfo',['GEMMInfo',['../classarm__compute_1_1_g_e_m_m_info.xhtml',1,'arm_compute']]],
+  ['gemminterleave4x4validationfixedpointfixture',['GEMMInterleave4x4ValidationFixedPointFixture',['../classarm__compute_1_1test_1_1validation_1_1_g_e_m_m_interleave4x4_validation_fixed_point_fixture.xhtml',1,'arm_compute::test::validation']]],
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+  ['gemmlowpassemblyfixture',['GEMMLowpAssemblyFixture',['../classarm__compute_1_1test_1_1validation_1_1_g_e_m_m_lowp_assembly_fixture.xhtml',1,'arm_compute::test::validation']]],
+  ['gemmlowpdataset',['GEMMLowpDataset',['../classarm__compute_1_1test_1_1datasets_1_1_g_e_m_m_lowp_dataset.xhtml',1,'arm_compute::test::datasets']]],
+  ['gemmlowpmatrixmultiplycorefixture',['GEMMLowpMatrixMultiplyCoreFixture',['../classarm__compute_1_1test_1_1_g_e_m_m_lowp_matrix_multiply_core_fixture.xhtml',1,'arm_compute::test']]],
+  ['gemmlowpmatrixmultiplycorevalidationfixture',['GEMMLowpMatrixMultiplyCoreValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_g_e_m_m_lowp_matrix_multiply_core_validation_fixture.xhtml',1,'arm_compute::test::validation']]],
+  ['gemmlowpquantizedownint32touint8scalebyfixedpointvalidationfixture',['GEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_validation_fixture.xhtml',1,'arm_compute::test::validation']]],
+  ['gemmlowpquantizedownint32touint8scalevalidationfixture',['GEMMLowpQuantizeDownInt32ToUint8ScaleValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_validation_fixture.xhtml',1,'arm_compute::test::validation']]],
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+  ['get_5ftensor_5finfo_5ft',['get_tensor_info_t',['../structarm__compute_1_1detail_1_1get__tensor__info__t.xhtml',1,'arm_compute::detail']]],
+  ['get_5ftensor_5finfo_5ft_3c_20itensorinfo_20_2a_20_3e',['get_tensor_info_t&lt; ITensorInfo * &gt;',['../structarm__compute_1_1detail_1_1get__tensor__info__t_3_01_i_tensor_info_01_5_01_4.xhtml',1,'arm_compute::detail']]],
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+  ['googlenetinceptionv1winogradlayerdataset',['GoogLeNetInceptionV1WinogradLayerDataset',['../classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_winograd_layer_dataset.xhtml',1,'arm_compute::test::datasets']]],
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+  ['googlenetinceptionv4winogradlayerdataset',['GoogLeNetInceptionV4WinogradLayerDataset',['../classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_winograd_layer_dataset.xhtml',1,'arm_compute::test::datasets']]],
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   ['gpu_5fraw_5fgpu_5fprops',['gpu_raw_gpu_props',['../structmali__userspace_1_1gpu__raw__gpu__props.xhtml',1,'mali_userspace']]],
+  ['gradientdimensions',['GradientDimensions',['../classarm__compute_1_1test_1_1datasets_1_1_gradient_dimensions.xhtml',1,'arm_compute::test::datasets']]],
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index 82c35b3..369fe52 100644
--- a/documentation/search/classes_8.html
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index 1c1d7e3..9e15d85 100644
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+  ['histogramvalidationfixture',['HistogramValidationFixture',['../classarm__compute_1_1test_1_1validation_1_1_histogram_validation_fixture.xhtml',1,'arm_compute::test::validation']]],
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index 0aa501d..d0bbf31 100644
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+  ['iclgemmlowpreductionkernel',['ICLGEMMLowpReductionKernel',['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml',1,'arm_compute']]],
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+  ['icloneable',['ICloneable',['../classarm__compute_1_1misc_1_1_i_cloneable.xhtml',1,'arm_compute::misc']]],
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index 616feb6..e7610d3 100644
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index b73686b..8b30f38 100644
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index a9846e7..1ef7b0c 100644
--- a/documentation/search/classes_d.js
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+  ['mobilenetfixture',['MobileNetFixture',['../classarm__compute_1_1test_1_1_mobile_net_fixture.xhtml',1,'arm_compute::test']]],
+  ['mobilenetnetwork',['MobileNetNetwork',['../classarm__compute_1_1test_1_1networks_1_1_mobile_net_network.xhtml',1,'arm_compute::test::networks']]],
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+  ['mobilenetv1fixture',['MobileNetV1Fixture',['../classarm__compute_1_1test_1_1_mobile_net_v1_fixture.xhtml',1,'arm_compute::test']]],
+  ['mobilenetv1network',['MobileNetV1Network',['../classarm__compute_1_1test_1_1networks_1_1_mobile_net_v1_network.xhtml',1,'arm_compute::test::networks']]],
+  ['mobilenetv1network_3c_20tensortype_2c_20arm_5fcompute_3a_3atest_3a_3aaccessor_2c_20activationlayerfunction_2c_20batchnormalizationlayerfunction_2c_20convolutionlayerfunction_2c_20directconvolutionlayerfunction_2c_20depthwiseconvolutionfunction_2c_20reshapefunction_2c_20poolinglayerfunction_2c_20softmaxlayerfunction_20_3e',['MobileNetV1Network&lt; TensorType, arm_compute::test::Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;',['../classarm__compute_1_1test_1_1networks_1_1_mobile_net_v1_network.xhtml',1,'arm_compute::test::networks']]],
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index 24a3ef3..238ea09 100644
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index eb5f684..49fe6c5 100644
--- a/documentation/search/classes_e.js
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-  ['nedepthconvertkernel',['NEDepthConvertKernel',['../classarm__compute_1_1_n_e_depth_convert_kernel.xhtml',1,'arm_compute']]],
+  ['nedeconvolutionlayer',['NEDeconvolutionLayer',['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml',1,'arm_compute']]],
+  ['nedeconvolutionlayerupsample',['NEDeconvolutionLayerUpsample',['../classarm__compute_1_1_n_e_deconvolution_layer_upsample.xhtml',1,'arm_compute']]],
+  ['nedeconvolutionlayerupsamplekernel',['NEDeconvolutionLayerUpsampleKernel',['../classarm__compute_1_1_n_e_deconvolution_layer_upsample_kernel.xhtml',1,'arm_compute']]],
+  ['nedepthconcatenatelayer',['NEDepthConcatenateLayer',['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml',1,'arm_compute']]],
+  ['nedepthconcatenatelayerkernel',['NEDepthConcatenateLayerKernel',['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml',1,'arm_compute']]],
+  ['nedepthconvertlayer',['NEDepthConvertLayer',['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml',1,'arm_compute']]],
+  ['nedepthconvertlayerkernel',['NEDepthConvertLayerKernel',['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml',1,'arm_compute']]],
+  ['nedepthwiseconvolutionlayer',['NEDepthwiseConvolutionLayer',['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml',1,'arm_compute']]],
+  ['nedepthwiseconvolutionlayer3x3',['NEDepthwiseConvolutionLayer3x3',['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml',1,'arm_compute']]],
+  ['nedepthwiseconvolutionlayer3x3kernel',['NEDepthwiseConvolutionLayer3x3Kernel',['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml',1,'arm_compute']]],
+  ['nedepthwiseim2colkernel',['NEDepthwiseIm2ColKernel',['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml',1,'arm_compute']]],
+  ['nedepthwiseseparableconvolutionlayer',['NEDepthwiseSeparableConvolutionLayer',['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml',1,'arm_compute']]],
+  ['nedepthwisevectortotensorkernel',['NEDepthwiseVectorToTensorKernel',['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml',1,'arm_compute']]],
+  ['nedepthwiseweightsreshapekernel',['NEDepthwiseWeightsReshapeKernel',['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml',1,'arm_compute']]],
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-  ['negemmlowp',['NEGEMMLowp',['../classarm__compute_1_1_n_e_g_e_m_m_lowp.xhtml',1,'arm_compute']]],
+  ['negemminterleaveblockedkernel',['NEGEMMInterleaveBlockedKernel',['../classarm__compute_1_1_n_e_g_e_m_m_interleave_blocked_kernel.xhtml',1,'arm_compute']]],
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+  ['negemmlowpaarch64kernel',['NEGEMMLowpAArch64Kernel',['../classarm__compute_1_1_n_e_g_e_m_m_lowp_a_arch64_kernel.xhtml',1,'arm_compute']]],
+  ['negemmlowpaarch64v8p4kernel',['NEGEMMLowpAArch64V8P4Kernel',['../classarm__compute_1_1_n_e_g_e_m_m_lowp_a_arch64_v8_p4_kernel.xhtml',1,'arm_compute']]],
+  ['negemmlowpassemblymatrixmultiplycore',['NEGEMMLowpAssemblyMatrixMultiplyCore',['../classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml',1,'arm_compute']]],
+  ['negemmlowpmatrixareductionkernel',['NEGEMMLowpMatrixAReductionKernel',['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml',1,'arm_compute']]],
+  ['negemmlowpmatrixbreductionkernel',['NEGEMMLowpMatrixBReductionKernel',['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml',1,'arm_compute']]],
+  ['negemmlowpmatrixmultiplycore',['NEGEMMLowpMatrixMultiplyCore',['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml',1,'arm_compute']]],
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+  ['negemmlowpoffsetcontributionkernel',['NEGEMMLowpOffsetContributionKernel',['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml',1,'arm_compute']]],
+  ['negemmlowpquantizedownint32touint8scale',['NEGEMMLowpQuantizeDownInt32ToUint8Scale',['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml',1,'arm_compute']]],
+  ['negemmlowpquantizedownint32touint8scalebyfixedpoint',['NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint',['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml',1,'arm_compute']]],
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+  ['nehgemmaarch64fp16kernel',['NEHGEMMAArch64FP16Kernel',['../classarm__compute_1_1_n_e_h_g_e_m_m_a_arch64_f_p16_kernel.xhtml',1,'arm_compute']]],
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index 1873d94..bdd9317 100644
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index dabda27..d2601eb 100644
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-  ['assetslibrary_2eh',['AssetsLibrary.h',['../_assets_library_8h.xhtml',1,'']]]
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index 4ac316c..58e9714 100644
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index 1bfc370..47c3204 100644
--- a/documentation/search/files_10.js
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-  ['quantizationlayer_2ecpp',['QuantizationLayer.cpp',['../_c_p_p_2_quantization_layer_8cpp.xhtml',1,'']]],
-  ['quantizationlayer_2eh',['QuantizationLayer.h',['../_quantization_layer_8h.xhtml',1,'']]],
+  ['quantizationlayer_2ecpp',['QuantizationLayer.cpp',['../reference_2_quantization_layer_8cpp.xhtml',1,'']]],
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index afd2311..3fcb1cc 100644
--- a/documentation/search/files_11.html
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index 5d9ebb1..6168953 100644
--- a/documentation/search/files_11.js
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   ['reshape_5flayer_2ecl',['reshape_layer.cl',['../reshape__layer_8cl.xhtml',1,'']]],
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   ['reshapelayer_2ecpp',['ReshapeLayer.cpp',['../_n_e_o_n_2_reshape_layer_8cpp.xhtml',1,'']]],
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-  ['reshapelayer_2eh',['ReshapeLayer.h',['../_reshape_layer_8h.xhtml',1,'']]],
+  ['reshapelayer_2eh',['ReshapeLayer.h',['../arm__compute_2graph_2nodes_2_reshape_layer_8h.xhtml',1,'']]],
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-  ['roipoolinglayer_2ecpp',['ROIPoolingLayer.cpp',['../_n_e_o_n_2_r_o_i_pooling_layer_8cpp.xhtml',1,'']]],
   ['roipoolinglayer_2ecpp',['ROIPoolingLayer.cpp',['../_c_l_2_r_o_i_pooling_layer_8cpp.xhtml',1,'']]],
+  ['roipoolinglayer_2ecpp',['ROIPoolingLayer.cpp',['../_n_e_o_n_2_r_o_i_pooling_layer_8cpp.xhtml',1,'']]],
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-  ['roipoolinglayerfixture_2eh',['ROIPoolingLayerFixture.h',['../_r_o_i_pooling_layer_fixture_8h.xhtml',1,'']]]
+  ['roipoolinglayerfixture_2eh',['ROIPoolingLayerFixture.h',['../_r_o_i_pooling_layer_fixture_8h.xhtml',1,'']]],
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index 247951b..f68184b 100644
--- a/documentation/search/files_12.html
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index 7df72dc..8e37cb6 100644
--- a/documentation/search/files_12.js
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   ['scale_2ecpp',['Scale.cpp',['../_n_e_o_n_2_scale_8cpp.xhtml',1,'']]],
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   ['scalefixture_2eh',['ScaleFixture.h',['../_scale_fixture_8h.xhtml',1,'']]],
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index 0192947..8f4d9e9 100644
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index 3cf716b..d020c74 100644
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index e220a1b..7d0d7fe 100644
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index 891b5da..186557a 100644
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index 9f35c8b..508747e 100644
--- a/documentation/search/files_4.js
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+  ['gemminterleave4x4fixture_2eh',['GEMMInterleave4x4Fixture.h',['../_g_e_m_m_interleave4x4_fixture_8h.xhtml',1,'']]],
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+  ['graph_5fmobilenet_2ecpp',['graph_mobilenet.cpp',['../graph__mobilenet_8cpp.xhtml',1,'']]],
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index bf78376..6430409 100644
--- a/documentation/search/files_8.js
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-  ['helper_2eh',['Helper.h',['../_helper_8h.xhtml',1,'']]],
+  ['helper_2eh',['Helper.h',['../_n_e_o_n_2_helper_8h.xhtml',1,'']]],
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-  ['helpers_2eh',['Helpers.h',['../tests_2validation_2_helpers_8h.xhtml',1,'']]],
-  ['helpers_2eh',['Helpers.h',['../arm__compute_2core_2_helpers_8h.xhtml',1,'']]],
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+  ['helpers_2eh',['Helpers.h',['../arm__compute_2core_2_helpers_8h.xhtml',1,'']]],
+  ['helpers_2eh',['Helpers.h',['../tests_2validation_2_helpers_8h.xhtml',1,'']]],
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+  ['histogram_2ecpp',['Histogram.cpp',['../reference_2_histogram_8cpp.xhtml',1,'']]],
+  ['histogram_2ecpp',['Histogram.cpp',['../_n_e_o_n_2_histogram_8cpp.xhtml',1,'']]],
+  ['histogram_2ecpp',['Histogram.cpp',['../_c_l_2_histogram_8cpp.xhtml',1,'']]],
+  ['histogram_2eh',['Histogram.h',['../_histogram_8h.xhtml',1,'']]],
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index 872e642..33e65d3 100644
--- a/documentation/search/files_9.js
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   ['ilutallocator_2eh',['ILutAllocator.h',['../_i_lut_allocator_8h.xhtml',1,'']]],
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-  ['integralimage_2ecpp',['IntegralImage.cpp',['../_c_l_2_integral_image_8cpp.xhtml',1,'']]],
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-  ['itensorinfo_2eh',['ITensorInfo.h',['../_i_tensor_info_8h.xhtml',1,'']]]
+  ['itensorinfo_2eh',['ITensorInfo.h',['../_i_tensor_info_8h.xhtml',1,'']]],
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index 11010e1..3e51d90 100644
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index 12a6c4b..8a7ca83 100644
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-  ['lenet5_2ecpp',['LeNet5.cpp',['../benchmark_2_n_e_o_n_2_s_y_s_t_e_m_2_le_net5_8cpp.xhtml',1,'']]],
+  ['largegemmlowpdataset_2eh',['LargeGEMMLowpDataset.h',['../_large_g_e_m_m_lowp_dataset_8h.xhtml',1,'']]],
   ['lenet5_2ecpp',['LeNet5.cpp',['../benchmark_2_c_l_2_s_y_s_t_e_m_2_le_net5_8cpp.xhtml',1,'']]],
+  ['lenet5_2ecpp',['LeNet5.cpp',['../benchmark_2_n_e_o_n_2_s_y_s_t_e_m_2_le_net5_8cpp.xhtml',1,'']]],
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+  ['log_2eh',['Log.h',['../_log_8h.xhtml',1,'']]],
   ['logger_2eh',['Logger.h',['../_logger_8h.xhtml',1,'']]],
+  ['loggerregistry_2eh',['LoggerRegistry.h',['../_logger_registry_8h.xhtml',1,'']]],
+  ['logmsgdecorators_2eh',['LogMsgDecorators.h',['../_log_msg_decorators_8h.xhtml',1,'']]],
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index 6fbd135..af49202 100644
--- a/documentation/search/files_c.html
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diff --git a/documentation/search/files_c.js b/documentation/search/files_c.js
index 0f66715..f3037b9 100644
--- a/documentation/search/files_c.js
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@@ -1,7 +1,13 @@
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+  ['macros_2eh',['Macros.h',['../tests_2framework_2_macros_8h.xhtml',1,'']]],
+  ['magnitude_2ecpp',['Magnitude.cpp',['../reference_2_magnitude_8cpp.xhtml',1,'']]],
+  ['magnitude_2ecpp',['Magnitude.cpp',['../_c_l_2_magnitude_8cpp.xhtml',1,'']]],
+  ['magnitude_2ecpp',['Magnitude.cpp',['../_n_e_o_n_2_magnitude_8cpp.xhtml',1,'']]],
+  ['magnitude_2eh',['Magnitude.h',['../_magnitude_8h.xhtml',1,'']]],
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+  ['magnitudefixture_2eh',['MagnitudeFixture.h',['../_magnitude_fixture_8h.xhtml',1,'']]],
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-  ['meanstddev_2ecpp',['MeanStdDev.cpp',['../_c_p_p_2_mean_std_dev_8cpp.xhtml',1,'']]],
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+  ['meanstddev_2ecpp',['MeanStdDev.cpp',['../reference_2_mean_std_dev_8cpp.xhtml',1,'']]],
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+  ['median3x3_2ecpp',['Median3x3.cpp',['../_c_l_2_median3x3_8cpp.xhtml',1,'']]],
+  ['median3x3_2ecpp',['Median3x3.cpp',['../_n_e_o_n_2_median3x3_8cpp.xhtml',1,'']]],
+  ['median3x3_2ecpp',['Median3x3.cpp',['../reference_2_median3x3_8cpp.xhtml',1,'']]],
+  ['median3x3_2eh',['Median3x3.h',['../_median3x3_8h.xhtml',1,'']]],
+  ['median3x3fixture_2eh',['Median3x3Fixture.h',['../_median3x3_fixture_8h.xhtml',1,'']]],
+  ['memory_2eh',['Memory.h',['../_memory_8h.xhtml',1,'']]],
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-  ['minmaxlocation_2ecpp',['MinMaxLocation.cpp',['../_c_p_p_2_min_max_location_8cpp.xhtml',1,'']]],
   ['minmaxlocation_2ecpp',['MinMaxLocation.cpp',['../_n_e_o_n_2_min_max_location_8cpp.xhtml',1,'']]],
+  ['minmaxlocation_2ecpp',['MinMaxLocation.cpp',['../reference_2_min_max_location_8cpp.xhtml',1,'']]],
   ['minmaxlocation_2eh',['MinMaxLocation.h',['../_min_max_location_8h.xhtml',1,'']]],
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-  ['mobilenetdepthwiseconvolutiondataset_2eh',['MobileNetDepthwiseConvolutionDataset.h',['../_mobile_net_depthwise_convolution_dataset_8h.xhtml',1,'']]],
+  ['mobilenet_2ecpp',['MobileNet.cpp',['../_mobile_net_8cpp.xhtml',1,'']]],
+  ['mobilenetdepthwiseconvolutionlayerdataset_2eh',['MobileNetDepthwiseConvolutionLayerDataset.h',['../_mobile_net_depthwise_convolution_layer_dataset_8h.xhtml',1,'']]],
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+  ['mobilenetfixture_2eh',['MobileNetFixture.h',['../_mobile_net_fixture_8h.xhtml',1,'']]],
+  ['mobilenetnetwork_2eh',['MobileNetNetwork.h',['../_mobile_net_network_8h.xhtml',1,'']]],
+  ['mobilenetv1_2ecpp',['MobileNetV1.cpp',['../_mobile_net_v1_8cpp.xhtml',1,'']]],
+  ['mobilenetv1fixture_2eh',['MobileNetV1Fixture.h',['../_mobile_net_v1_fixture_8h.xhtml',1,'']]],
+  ['mobilenetv1network_2eh',['MobileNetV1Network.h',['../_mobile_net_v1_network_8h.xhtml',1,'']]],
   ['multihog_2eh',['MultiHOG.h',['../_multi_h_o_g_8h.xhtml',1,'']]],
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index 1201a33..3d4c2c2 100644
--- a/documentation/search/files_d.html
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diff --git a/documentation/search/files_d.js b/documentation/search/files_d.js
index 36df7e8..c512c53 100644
--- a/documentation/search/files_d.js
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   ['nearithmeticsubtractionkernel_2eh',['NEArithmeticSubtractionKernel.h',['../_n_e_arithmetic_subtraction_kernel_8h.xhtml',1,'']]],
+  ['neasymm_2eh',['NEAsymm.h',['../_n_e_asymm_8h.xhtml',1,'']]],
+  ['neasymm_2einl',['NEAsymm.inl',['../_n_e_asymm_8inl.xhtml',1,'']]],
   ['nebatchnormalizationlayer_2eh',['NEBatchNormalizationLayer.h',['../_n_e_batch_normalization_layer_8h.xhtml',1,'']]],
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@@ -28,6 +30,7 @@
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   ['nechannelextractkernel_2eh',['NEChannelExtractKernel.h',['../_n_e_channel_extract_kernel_8h.xhtml',1,'']]],
+  ['necol2im_2eh',['NECol2Im.h',['../_n_e_col2_im_8h.xhtml',1,'']]],
   ['necol2imkernel_2eh',['NECol2ImKernel.h',['../_n_e_col2_im_kernel_8h.xhtml',1,'']]],
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@@ -36,16 +39,27 @@
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-  ['nedepthconcatenate_2eh',['NEDepthConcatenate.h',['../_n_e_depth_concatenate_8h.xhtml',1,'']]],
-  ['nedepthconcatenatekernel_2eh',['NEDepthConcatenateKernel.h',['../_n_e_depth_concatenate_kernel_8h.xhtml',1,'']]],
-  ['nedepthconvert_2eh',['NEDepthConvert.h',['../_n_e_depth_convert_8h.xhtml',1,'']]],
-  ['nedepthconvertkernel_2eh',['NEDepthConvertKernel.h',['../_n_e_depth_convert_kernel_8h.xhtml',1,'']]],
+  ['nedeconvolutionlayer_2eh',['NEDeconvolutionLayer.h',['../_n_e_deconvolution_layer_8h.xhtml',1,'']]],
+  ['nedeconvolutionlayerupsample_2eh',['NEDeconvolutionLayerUpsample.h',['../_n_e_deconvolution_layer_upsample_8h.xhtml',1,'']]],
+  ['nedeconvolutionlayerupsamplekernel_2eh',['NEDeconvolutionLayerUpsampleKernel.h',['../_n_e_deconvolution_layer_upsample_kernel_8h.xhtml',1,'']]],
+  ['nedepthconcatenatelayer_2eh',['NEDepthConcatenateLayer.h',['../_n_e_depth_concatenate_layer_8h.xhtml',1,'']]],
+  ['nedepthconcatenatelayerkernel_2eh',['NEDepthConcatenateLayerKernel.h',['../_n_e_depth_concatenate_layer_kernel_8h.xhtml',1,'']]],
+  ['nedepthconvertlayer_2eh',['NEDepthConvertLayer.h',['../_n_e_depth_convert_layer_8h.xhtml',1,'']]],
+  ['nedepthconvertlayerkernel_2eh',['NEDepthConvertLayerKernel.h',['../_n_e_depth_convert_layer_kernel_8h.xhtml',1,'']]],
+  ['nedepthwiseconvolutionlayer_2eh',['NEDepthwiseConvolutionLayer.h',['../_n_e_depthwise_convolution_layer_8h.xhtml',1,'']]],
+  ['nedepthwiseconvolutionlayer3x3kernel_2eh',['NEDepthwiseConvolutionLayer3x3Kernel.h',['../_n_e_depthwise_convolution_layer3x3_kernel_8h.xhtml',1,'']]],
+  ['nedepthwiseim2colkernel_2eh',['NEDepthwiseIm2ColKernel.h',['../_n_e_depthwise_im2_col_kernel_8h.xhtml',1,'']]],
+  ['nedepthwiseseparableconvolutionlayer_2eh',['NEDepthwiseSeparableConvolutionLayer.h',['../_n_e_depthwise_separable_convolution_layer_8h.xhtml',1,'']]],
+  ['nedepthwisevectortotensorkernel_2eh',['NEDepthwiseVectorToTensorKernel.h',['../_n_e_depthwise_vector_to_tensor_kernel_8h.xhtml',1,'']]],
+  ['nedepthwiseweightsreshapekernel_2eh',['NEDepthwiseWeightsReshapeKernel.h',['../_n_e_depthwise_weights_reshape_kernel_8h.xhtml',1,'']]],
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   ['nedilatekernel_2eh',['NEDilateKernel.h',['../_n_e_dilate_kernel_8h.xhtml',1,'']]],
+  ['nedirectconvolution3x3_2eh',['NEDirectConvolution3x3.h',['../_n_e_direct_convolution3x3_8h.xhtml',1,'']]],
+  ['nedirectconvolutiondetail_2eh',['NEDirectConvolutionDetail.h',['../_n_e_direct_convolution_detail_8h.xhtml',1,'']]],
   ['nedirectconvolutionlayer_2eh',['NEDirectConvolutionLayer.h',['../_n_e_direct_convolution_layer_8h.xhtml',1,'']]],
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@@ -77,15 +91,27 @@
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-  ['negemmlowp_2eh',['NEGEMMLowp.h',['../_n_e_g_e_m_m_lowp_8h.xhtml',1,'']]],
+  ['negemminterleaveblockedkernel_2eh',['NEGEMMInterleaveBlockedKernel.h',['../_n_e_g_e_m_m_interleave_blocked_kernel_8h.xhtml',1,'']]],
+  ['negemmlowpaarch64a53kernel_2eh',['NEGEMMLowpAArch64A53Kernel.h',['../_n_e_g_e_m_m_lowp_a_arch64_a53_kernel_8h.xhtml',1,'']]],
+  ['negemmlowpaarch64kernel_2eh',['NEGEMMLowpAArch64Kernel.h',['../_n_e_g_e_m_m_lowp_a_arch64_kernel_8h.xhtml',1,'']]],
+  ['negemmlowpaarch64v8p4kernel_2eh',['NEGEMMLowpAArch64V8P4Kernel.h',['../_n_e_g_e_m_m_lowp_a_arch64_v8_p4_kernel_8h.xhtml',1,'']]],
+  ['negemmlowpassemblymatrixmultiplycore_2eh',['NEGEMMLowpAssemblyMatrixMultiplyCore.h',['../_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core_8h.xhtml',1,'']]],
+  ['negemmlowpmatrixmultiplycore_2eh',['NEGEMMLowpMatrixMultiplyCore.h',['../_n_e_g_e_m_m_lowp_matrix_multiply_core_8h.xhtml',1,'']]],
   ['negemmlowpmatrixmultiplykernel_2eh',['NEGEMMLowpMatrixMultiplyKernel.h',['../_n_e_g_e_m_m_lowp_matrix_multiply_kernel_8h.xhtml',1,'']]],
+  ['negemmlowpoffsetcontributionkernel_2eh',['NEGEMMLowpOffsetContributionKernel.h',['../_n_e_g_e_m_m_lowp_offset_contribution_kernel_8h.xhtml',1,'']]],
+  ['negemmlowpoutputstage_2eh',['NEGEMMLowpOutputStage.h',['../_n_e_g_e_m_m_lowp_output_stage_8h.xhtml',1,'']]],
+  ['negemmlowpquantizedownint32touint8scalebyfixedpointkernel_2eh',['NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h',['../_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel_8h.xhtml',1,'']]],
+  ['negemmlowpquantizedownint32touint8scalekernel_2eh',['NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h',['../_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel_8h.xhtml',1,'']]],
+  ['negemmlowpreductionkernel_2eh',['NEGEMMLowpReductionKernel.h',['../_n_e_g_e_m_m_lowp_reduction_kernel_8h.xhtml',1,'']]],
   ['negemmmatrixaccumulatebiaseskernel_2eh',['NEGEMMMatrixAccumulateBiasesKernel.h',['../_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8h.xhtml',1,'']]],
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   ['negemmmatrixmultiplykernel_2eh',['NEGEMMMatrixMultiplyKernel.h',['../_n_e_g_e_m_m_matrix_multiply_kernel_8h.xhtml',1,'']]],
+  ['negemmmatrixvectormultiplykernel_2eh',['NEGEMMMatrixVectorMultiplyKernel.h',['../_n_e_g_e_m_m_matrix_vector_multiply_kernel_8h.xhtml',1,'']]],
   ['negemmtranspose1xw_2eh',['NEGEMMTranspose1xW.h',['../_n_e_g_e_m_m_transpose1x_w_8h.xhtml',1,'']]],
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   ['neharriscornerskernel_2eh',['NEHarrisCornersKernel.h',['../_n_e_harris_corners_kernel_8h.xhtml',1,'']]],
+  ['nehgemmaarch64fp16kernel_2eh',['NEHGEMMAArch64FP16Kernel.h',['../_n_e_h_g_e_m_m_a_arch64_f_p16_kernel_8h.xhtml',1,'']]],
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@@ -94,12 +120,13 @@
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   ['nehogmultidetection_2eh',['NEHOGMultiDetection.h',['../_n_e_h_o_g_multi_detection_8h.xhtml',1,'']]],
+  ['neim2col_2eh',['NEIm2Col.h',['../_n_e_im2_col_8h.xhtml',1,'']]],
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;Expected&quot;,{true, true, false, false, false, false, true})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4a6e9fa189c54b63aef5111693d855b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;ConvertPolicy&quot;,{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), shape, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a202aebdc4af23a8c566add5554b9e7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::U8, DataType::S16})), framework::dataset::make(&quot;ConvertPolicy&quot;,{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), shape, data_type, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab844c752ba7cb8da9d8934794bfbab8c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::U8, DataType::S16})), framework::dataset::make(&quot;DataType&quot;,{DataType::U8, DataType::S16})), framework::dataset::make(&quot;ConvertPolicy&quot;,{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), shape, data_type1, data_type2, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1bac1c97d07b355dbf758eae66ae2450',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomBatchNormalizationLayerDataset(), framework::dataset::make(&quot;DataType&quot;,{DataType::QS8, DataType::QS16, DataType::F16, DataType::F32})), shape0, shape1, epsilon, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aabbe6268fe2a2aa7d7a00865d0593447',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(),})), framework::dataset::make(&quot;MVBGInfo&quot;,{TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;Expected&quot;,{true, false, false, false, false, false, true, true})), input_info, output_info, mvbg_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43b142f2fd7735c8dbb2b1b4e456482b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af654ad5ee4e9af35cd82a2a0f3f8e1aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), 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shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a4dca9a6fcebd771852954387dda89a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::QS8, DataType::QS16})), framework::dataset::make(&quot;ConvertPolicy&quot;,{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), DepthConvertLayerFixedPointQuantizedDataset), shape, dt, policy, fixed_point_position)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd3bff121f3d1b361014931aba336060',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a40e869ef7078fd14e12e3642a0f4fb',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false, false, true})), input_info, weights_info, biases_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6977e5dada34102dfca07ad1bd3acc63',1,'arm_compute::test::validation::DATA_TEST_CASE(FillBorder, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::BorderModes()), BorderSizesDataset), PaddingSizesDataset), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, border_mode, size, padding, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a993ad7954889c7044c5d3ccd82243f6d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallFullyConnectedLayerDataset(), datasets::LargeFullyConnectedLayerDataset()), FullyConnectedParameters), CNNDataTypes), src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd7a6dbd100ac000c0d5ff06290dda88',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallGEMMDataset(), datasets::LargeGEMMDataset()), CNNDataTypes), shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac60bce01d83538dd27cddcbea97046c8',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallGEMMLowpDataset(), datasets::LargeGEMMLowpDataset()), shape_a, shape_b, shape_c, a_offset, b_offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae408ebf375fe9401ddb3fc30be6ee254',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), quantize_down_int32_to_uint8_scale_cases), shape, result_offset, result_mult_int, result_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7abb3c5ef69509a8a8c2ec8e7dea242',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases), shape, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07488d59b3ffaa49592976f74b50e62e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, block_size, border_mode, use_fp16, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03ce389355dedb591f21f5abc0f22cce',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa448e5cad10449e32daa050b861dac3e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::S16, DataType::S32})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af47ccf8173fbf22b22f0649949789046',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;,{3U, 5U})), datasets::MatrixPatterns()), datasets::BorderModes()), shape, function, mask_size, pattern, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a692cf4b1d688f13abdc57d0713b90ed7',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;NormInfo&quot;,{NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 5),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true})), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b6fe9d1f1a157a4208b976d197d4f04',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), framework::dataset::make(&quot;Input2Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS16, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;Scale&quot;,{2.f, 2.f, 2.f,-1.f, 1.f, 1.f, 1.f, 1.f, 3.f})), framework::dataset::make(&quot;Expected&quot;,{true, true, false, false, false, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47e7a0c703e8e092534551b3a614f084',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS16, 11), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, 0), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS8, 5), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS16, 11), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, 0), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;PoolInfo&quot;,{PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false, true})), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6da83731448ca19e1a954872f123f45c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, 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framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a712c785a9475eb2bb0a5a24e43d282cc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a824b5a8e3c4e7db5fb9e67ebae18e396',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SoftmaxLayerSmallShapes(), datasets::SoftmaxLayerLargeShapes()), CNNDataTypes), shape, 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3), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, true, true, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed9aa4d1158f6ac09286cd55d3494c8b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::U8, DataType::S16})), shape, 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AbsoluteDifferenceS16Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a027fc3c677b44db44a521358e514d6e9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make(&quot;Expected&quot;,{false, true, false, false, true})), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae1fa81d8077d7990785e72cc6b253c2f',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomBatchNormalizationLayerDataset(), framework::dataset::make(&quot;DataType&quot;,{DataType::QS8, DataType::QS16, DataType::F32})), shape0, shape1, epsilon, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a0fadde4e3e45dceba08c84b65d43e9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;ConvolvedWidth&quot;,{3, 3, 3, 3, 3})), framework::dataset::make(&quot;ConvolvedHeight&quot;,{4, 4, 4, 4, 4})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true})), input_info, output_info, convolved_width, convolved_height, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a793e248a361022afcb4c80450415b8dd',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::LargeDepthwiseConvolutionLayerDataset3x3()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), input_shape, weights_shape, bias_shape, output_shape, info, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72a64c233879d9e811495d201031ee61',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false})), input_info, weights_info, biases_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaed4107ed79a0f545a95cd0ac20f3de7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, large_gaussian_pyramid_levels, shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4c5ee20f9d24c1402ddf06145ccb2aa0',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;,{TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::QS8, 2), TensorInfo(TensorShape(20U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(16U, 32U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)),}), framework::dataset::make(&quot;InputBInfo&quot;,{TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(64U, 16U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(8U, 11U), 1, DataType::S32), TensorInfo(TensorShape(64U, 32U), 1, DataType::S32),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true})), a_info, b_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a01cbfbd5aab74c85cdac08a60f26288a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;,{TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32),}), framework::dataset::make(&quot;InputBInfo&quot;,{TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(20U), 1, DataType::S32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32),})), framework::dataset::make(&quot;Min&quot;,{0, 8, 13,})), framework::dataset::make(&quot;Max&quot;,{205, 300, 180,})), framework::dataset::make(&quot;Expected&quot;,{true, false, false})), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e50d6591de024c6c701b03c59dd84a5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QASYMM8),})), framework::dataset::make(&quot;HasBias&quot;,{true, true, true, true, false})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true})), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a635611a2f025da0e30e23148b4cdec17',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3755766cb74239af64fc77fe337662e2',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(27U, 11U, 2U), 1, 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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html><head><title></title>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta name="generator" content="Doxygen 1.8.11"/>
+<link rel="stylesheet" type="text/css" href="search.css"/>
+<script type="text/javascript" src="related_3.js"></script>
+<script type="text/javascript" src="search.js"></script>
+</head>
+<body class="SRPage">
+<div id="SRIndex">
+<div class="SRStatus" id="Loading">Loading...</div>
+<div id="SRResults"></div>
+<script type="text/javascript"><!--
+createResults();
+--></script>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+<script type="text/javascript"><!--
+document.getElementById("Loading").style.display="none";
+document.getElementById("NoMatches").style.display="none";
+var searchResults = new SearchResults("searchResults");
+searchResults.Search();
+--></script>
+</div>
+</body>
+</html>
diff --git a/documentation/search/related_3.js b/documentation/search/related_3.js
new file mode 100644
index 0000000..1c9cd14
--- /dev/null
+++ b/documentation/search/related_3.js
@@ -0,0 +1,4 @@
+var searchData=
+[
+  ['swap',['swap',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a51920d34b0fa5415e84891ad8e755224',1,'arm_compute::test::SimpleTensor']]]
+];
diff --git a/documentation/search/related_4.html b/documentation/search/related_4.html
new file mode 100644
index 0000000..0e449a9
--- /dev/null
+++ b/documentation/search/related_4.html
@@ -0,0 +1,26 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html><head><title></title>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta name="generator" content="Doxygen 1.8.11"/>
+<link rel="stylesheet" type="text/css" href="search.css"/>
+<script type="text/javascript" src="related_4.js"></script>
+<script type="text/javascript" src="search.js"></script>
+</head>
+<body class="SRPage">
+<div id="SRIndex">
+<div class="SRStatus" id="Loading">Loading...</div>
+<div id="SRResults"></div>
+<script type="text/javascript"><!--
+createResults();
+--></script>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+<script type="text/javascript"><!--
+document.getElementById("Loading").style.display="none";
+document.getElementById("NoMatches").style.display="none";
+var searchResults = new SearchResults("searchResults");
+searchResults.Search();
+--></script>
+</div>
+</body>
+</html>
diff --git a/documentation/search/related_4.js b/documentation/search/related_4.js
new file mode 100644
index 0000000..0830ff6
--- /dev/null
+++ b/documentation/search/related_4.js
@@ -0,0 +1,4 @@
+var searchData=
+[
+  ['testcasefactory',['TestCaseFactory',['../classarm__compute_1_1test_1_1framework_1_1_test_case.xhtml#a95ded649a5eb3a9a28d3002b0818d1e6',1,'arm_compute::test::framework::TestCase']]]
+];
diff --git a/documentation/search/search.js b/documentation/search/search.js
index 4ab763c..dedce3b 100644
--- a/documentation/search/search.js
+++ b/documentation/search/search.js
@@ -1,42 +1,3 @@
-// Search script generated by doxygen
-// Copyright (C) 2009 by Dimitri van Heesch.
-
-// The code in this file is loosly based on main.js, part of Natural Docs,
-// which is Copyright (C) 2003-2008 Greg Valure
-// Natural Docs is licensed under the GPL.
-
-var indexSectionsWithContent =
-{
-  0: "0_abcdefghijklmnopqrstuvwxyz~",
-  1: "_abcdefghijklmnopqrstuvwyz",
-  2: "acmt",
-  3: "0abcdefghijlmnopqrstuvwyz",
-  4: "abcdefghijklmnopqrstuvwxyz~",
-  5: "_abcdefghijlmnoprstuvwxyz",
-  6: "_bcdefghiklmnpqstuv",
-  7: "abcdfghilmnoprst",
-  8: "abcdefgijlmnopqrstuvwy",
-  9: "rst",
-  10: "abcdefghijklmpqrstvwxy",
-  11: "ilv"
-};
-
-var indexSectionNames =
-{
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-  1: "classes",
-  2: "namespaces",
-  3: "files",
-  4: "functions",
-  5: "variables",
-  6: "typedefs",
-  7: "enums",
-  8: "enumvalues",
-  9: "related",
-  10: "defines",
-  11: "pages"
-};
-
 function convertToId(search)
 {
   var result = '';
@@ -48,11 +9,11 @@
     {
       result+=c;
     }
-    else if (cn<16) 
+    else if (cn<16)
     {
       result+="_0"+cn.toString(16);
     }
-    else 
+    else
     {
       result+="_"+cn.toString(16);
     }
@@ -91,14 +52,14 @@
 /* A class handling everything associated with the search panel.
 
    Parameters:
-   name - The name of the global variable that will be 
+   name - The name of the global variable that will be
           storing this instance.  Is needed to be able to set timeouts.
    resultPath - path to use for external files
 */
 function SearchBox(name, resultsPath, inFrame, label)
 {
   if (!name || !resultsPath) {  alert("Missing parameters to SearchBox."); }
-   
+
   // ---------- Instance variables
   this.name                  = name;
   this.resultsPath           = resultsPath;
@@ -175,7 +136,7 @@
     }
 
     // stop selection hide timer
-    if (this.hideTimeout) 
+    if (this.hideTimeout)
     {
       clearTimeout(this.hideTimeout);
       this.hideTimeout=0;
@@ -204,7 +165,7 @@
       if (e.shiftKey==1)
       {
         this.OnSearchSelectShow();
-        var win=this.DOMSearchSelectWindow(); 
+        var win=this.DOMSearchSelectWindow();
         for (i=0;i<win.childNodes.length;i++)
         {
           var child = win.childNodes[i]; // get span within a
@@ -255,7 +216,7 @@
   this.SelectItemCount = function(id)
   {
     var count=0;
-    var win=this.DOMSearchSelectWindow(); 
+    var win=this.DOMSearchSelectWindow();
     for (i=0;i<win.childNodes.length;i++)
     {
       var child = win.childNodes[i]; // get span within a
@@ -270,7 +231,7 @@
   this.SelectItemSet = function(id)
   {
     var i,j=0;
-    var win=this.DOMSearchSelectWindow(); 
+    var win=this.DOMSearchSelectWindow();
     for (i=0;i<win.childNodes.length;i++)
     {
       var child = win.childNodes[i]; // get span within a
@@ -374,7 +335,7 @@
        hasResultsPage = false;
     }
 
-    window.frames.MSearchResults.location = resultsPageWithSearch;  
+    window.frames.MSearchResults.location = resultsPageWithSearch;
     var domPopupSearchResultsWindow = this.DOMPopupSearchResultsWindow();
 
     if (domPopupSearchResultsWindow.style.display!='block')
@@ -408,12 +369,12 @@
 
   // -------- Activation Functions
 
-  // Activates or deactivates the search panel, resetting things to 
-  // their default values if necessary. 
+  // Activates or deactivates the search panel, resetting things to
+  // their default values if necessary.
   this.Activate = function(isActive)
   {
     if (isActive || // open it
-        this.DOMPopupSearchResultsWindow().style.display == 'block' 
+        this.DOMPopupSearchResultsWindow().style.display == 'block'
        )
     {
       this.DOMSearchBox().className = 'MSearchBoxActive';
@@ -421,8 +382,8 @@
       var searchField = this.DOMSearchField();
 
       if (searchField.value == this.searchLabel) // clear "Search" term upon entry
-      {  
-        searchField.value = '';  
+      {
+        searchField.value = '';
         this.searchActive = true;
       }
     }
@@ -461,12 +422,12 @@
         }
 
         if (element.nodeName == 'DIV' && element.hasChildNodes())
-        {  
-           element = element.firstChild;  
+        {
+           element = element.firstChild;
         }
         else if (element.nextSibling)
-        {  
-           element = element.nextSibling;  
+        {
+           element = element.nextSibling;
         }
         else
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@@ -477,8 +438,8 @@
           while (element && element!=parentElement && !element.nextSibling);
 
           if (element && element!=parentElement)
-          {  
-            element = element.nextSibling;  
+          {
+            element = element.nextSibling;
           }
         }
       }
@@ -531,7 +492,7 @@
           var rowMatchName = row.id.toLowerCase();
           rowMatchName = rowMatchName.replace(/^sr\d*_/, ''); // strip 'sr123_'
 
-          if (search.length<=rowMatchName.length && 
+          if (search.length<=rowMatchName.length &&
              rowMatchName.substr(0, search.length)==search)
           {
             row.style.display = 'block';
@@ -602,7 +563,7 @@
 
     this.ProcessKeys = function(e)
     {
-      if (e.type == "keydown") 
+      if (e.type == "keydown")
       {
         this.repeatOn = false;
         this.lastKey = e.keyCode;
@@ -623,7 +584,7 @@
       return this.lastKey!=0;
     }
 
-    this.Nav = function(evt,itemIndex) 
+    this.Nav = function(evt,itemIndex)
     {
       var e  = (evt) ? evt : window.event; // for IE
       if (e.keyCode==13) return true;
@@ -637,7 +598,7 @@
         {
           var child = this.FindChildElement(focusItem.parentNode.parentNode.id);
           if (child && child.style.display == 'block') // children visible
-          { 
+          {
             var n=0;
             var tmpElem;
             while (1) // search for last child
@@ -730,7 +691,7 @@
         if (elem)
         {
           elem.focus();
-        } 
+        }
       }
       else if (this.lastKey==27) // Escape
       {
@@ -813,3 +774,18 @@
   }
 }
 
+function init_search()
+{
+  var results = document.getElementById("MSearchSelectWindow");
+  for (var key in indexSectionLabels)
+  {
+    var link = document.createElement('a');
+    link.setAttribute('class','SelectItem');
+    link.setAttribute('onclick','searchBox.OnSelectItem('+key+')');
+    link.href='javascript:void(0)';
+    link.innerHTML='<span class="SelectionMark">&#160;</span>'+indexSectionLabels[key];
+    results.appendChild(link);
+  }
+  searchBox.OnSelectItem(0);
+}
+
diff --git a/documentation/search/searchdata.js b/documentation/search/searchdata.js
new file mode 100644
index 0000000..e9b1fac
--- /dev/null
+++ b/documentation/search/searchdata.js
@@ -0,0 +1,48 @@
+var indexSectionsWithContent =
+{
+  0: "0_abcdefghijklmnopqrstuvwxyz~",
+  1: "_abcdefghijklmnopqrstuvwyz",
+  2: "acmt",
+  3: "0abcdefghijlmnopqrstuvwyz",
+  4: "abcdefghijklmnopqrstuvwxyz~",
+  5: "_abcdefghijlmnopqrstuvwxyz",
+  6: "_bcdefghiklmnpqstuv",
+  7: "abcdefghilmnoprst",
+  8: "abcdefgijlmnopqrstuvwy",
+  9: "norst",
+  10: "_abcdefghijklmpqrstvwxy",
+  11: "ilv"
+};
+
+var indexSectionNames =
+{
+  0: "all",
+  1: "classes",
+  2: "namespaces",
+  3: "files",
+  4: "functions",
+  5: "variables",
+  6: "typedefs",
+  7: "enums",
+  8: "enumvalues",
+  9: "related",
+  10: "defines",
+  11: "pages"
+};
+
+var indexSectionLabels =
+{
+  0: "All",
+  1: "Data Structures",
+  2: "Namespaces",
+  3: "Files",
+  4: "Functions",
+  5: "Variables",
+  6: "Typedefs",
+  7: "Enumerations",
+  8: "Enumerator",
+  9: "Friends",
+  10: "Macros",
+  11: "Pages"
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diff --git a/documentation/search/typedefs_0.html b/documentation/search/typedefs_0.html
index 8d6b78f..fb07195 100644
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index 455fe2b..6edac96 100644
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diff --git a/documentation/search/typedefs_10.html b/documentation/search/typedefs_10.html
index 2c23b36..e8c7e73 100644
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index af160df..4058cb8 100644
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+  ['tbias',['TBias',['../classarm__compute_1_1test_1_1validation_1_1_convolution_validation_generic_fixture.xhtml#ad6dc80aa0e6af9b0ab649540c58995a8',1,'arm_compute::test::validation::ConvolutionValidationGenericFixture::TBias()'],['../classarm__compute_1_1test_1_1validation_1_1_depthwise_convolution_layer_validation_generic_fixture.xhtml#ad6dc80aa0e6af9b0ab649540c58995a8',1,'arm_compute::test::validation::DepthwiseConvolutionLayerValidationGenericFixture::TBias()'],['../classarm__compute_1_1test_1_1validation_1_1_direct_convolution_validation_generic_fixture.xhtml#ad6dc80aa0e6af9b0ab649540c58995a8',1,'arm_compute::test::validation::DirectConvolutionValidationGenericFixture::TBias()'],['../classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_generic_fixture.xhtml#ad6dc80aa0e6af9b0ab649540c58995a8',1,'arm_compute::test::validation::FullyConnectedLayerValidationGenericFixture::TBias()']]],
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index 29e307b..e10dce9 100644
--- a/documentation/search/typedefs_c.js
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